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Responsibilities: — Work remotely within the EU with mandatory onsite presence in the Netherlands from January 14 to February 7, 2027. — Engage in Azure Cloud Engineering tasks including Azure IaaS/PaaS, Azure VMs, Storage Accounts, Key Vault, AKS, Databricks, Application Gateway. — Use Terraform as a mandatory tool. — Utilize Azure DevOps, GitHub, CI/CD pipelines. — Work with Kubernetes, Docker. — Employ scripting languages such as PowerShell, Shell, YAML, Python. — Ensure IaC Security and handle Monitoring & Logging. Requirements: — Senior level experience. — At least 3 successfully completed end-to-end SAP S/4HANA transformation projects. — Experience providing production support in mission-critical SAP environments. — Mandatory skills include Azure Cloud Engineering, Terraform, Azure DevOps, GitHub, CI/CD, Kubernetes, Docker, PowerShell, Python. — English proficiency at C1 level. Nice to have: — Azure certifications (AZ-104, AZ-305, AZ-400). — Experience with SAP hosting on Azure. — Knowledge of Cloud Governance. — Understanding of Security & Compliance. Conditions: — Remote work within the EU. — Mandatory onsite presence in the Netherlands from January 14 to February 7, 2027. — Contract duration is 3 months starting ASAP (December 2026) with possibility of extension. — Freelancers only; outstaffing companies and recruitment agencies will not be considered.

Location: London Workplace: remote ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. The Role You will design, build and run the systems behind our data products, covering ingestion, processing, analytical storage and serving. You own your work from the design document through to production. The people who design a pipeline also run it and answer for its numbers. Our stack is very wide, and we go deep in every part of it. We don't stop at "it works." We keep measuring, profiling and tuning to make systems faster, cheaper and more reliable. We want engineers who are razor sharp, pay close attention to detail, and care as much about why a query takes 800 ms as whether it returns the right answer. You don't need blockchain experience. If you're a strong data engineer who wants to learn it, we'd like to hear from you. What You'll Do Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains. Build backend data services and loaders in Go and Python. Design and evolve data models and analytical workloads in ClickHouse, and tune them for sub-second queries. Build incremental, idempotent pipelines on Databricks over billions of rows and tens of terabytes. Keep improving the scale, reliability, freshness, performance and cost efficiency of the platform. Investigate hard performance and reliability problems and see them through to resolution. Work closely with the product, analytics and investigations teams that use the data, and turn their needs into platform designs. Help set technical direction through architecture discussions, design reviews and code reviews. Mentor engineers and help set strong engineering and operational practices. What You Bring 5+ years building and operating production data systems, including ETL and ELT pipelines. At least two of those years should be spent owning systems that other engineers depend on. Expert Python and strong SQL. You write typed, tested code, are comfortable with asyncio and concurrency, and have built incremental data models over billions of rows. Go for backend services. You have built and run high-throughput services or data loaders in Go in production. ClickHouse in production. You know MergeTree schema and sort-key design, materialised views, bulk loads and query tuning. Databricks in production. You have worked with PySpark, Delta Lake and Unity Catalog, designed incremental and idempotent tables, and kept an eye on compute cost. Large-scale data. You have hands-on experience with pipelines over billions of rows and tens of terabytes. You understand how partitioning, clustering and file sizing affect cost and latency. Kafka, Airflow and Kubernetes in production. You understand delivery semantics and idempotent writes, have handled backfills and failures, and have run data workloads with Docker and Helm. Google Cloud is preferred; AWS is fine. An operations and communication mindset. You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve.   Nice to Have Blockchain data: EVM, UTXO or non-EVM chain data models, and pulling data from nodes over JSON-RPC or gRPC. Graph or distributed key-value stores: entity resolution or clustering on large graphs. Infrastructure as code, GitOps and observability: Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus and Grafana, and load-test design. Experience building platforms that serve multiple data sources, datasets or product teams. AI-assisted development, and experience in fintech, compliance or AML. How We Work You'll join a small, senior team where everyone owns their work end to end. We make decisions based on measured evidence, not opinion. We keep design notes and runbooks next to the code. We test at production scale and run blameless post-incident reviews. We use AI coding tools every day, and we use judgement when reviewing what they produce. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: New York Workplace: remote ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. The Role You will design, build and run the systems behind our data products, covering ingestion, processing, analytical storage and serving. You own your work from the design document through to production. The people who design a pipeline also run it and answer for its numbers. Our stack is very wide, and we go deep in every part of it. We don't stop at "it works." We keep measuring, profiling and tuning to make systems faster, cheaper and more reliable. We want engineers who are razor sharp, pay close attention to detail, and care as much about why a query takes 800 ms as whether it returns the right answer. You don't need blockchain experience. If you're a strong data engineer who wants to learn it, we'd like to hear from you. What You'll Do Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains. Build backend data services and loaders in Go and Python. Design and evolve data models and analytical workloads in ClickHouse, and tune them for sub-second queries. Build incremental, idempotent pipelines on Databricks over billions of rows and tens of terabytes. Keep improving the scale, reliability, freshness, performance and cost efficiency of the platform. Investigate hard performance and reliability problems and see them through to resolution. Work closely with the product, analytics and investigations teams that use the data, and turn their needs into platform designs. Help set technical direction through architecture discussions, design reviews and code reviews. Mentor engineers and help set strong engineering and operational practices. What You Bring 5+ years building and operating production data systems, including ETL and ELT pipelines. At least two of those years should be spent owning systems that other engineers depend on. Expert Python and strong SQL. You write typed, tested code, are comfortable with asyncio and concurrency, and have built incremental data models over billions of rows. Go for backend services. You have built and run high-throughput services or data loaders in Go in production. ClickHouse in production. You know MergeTree schema and sort-key design, materialised views, bulk loads and query tuning. Databricks in production. You have worked with PySpark, Delta Lake and Unity Catalog, designed incremental and idempotent tables, and kept an eye on compute cost. Large-scale data. You have hands-on experience with pipelines over billions of rows and tens of terabytes. You understand how partitioning, clustering and file sizing affect cost and latency. Kafka, Airflow and Kubernetes in production. You understand delivery semantics and idempotent writes, have handled backfills and failures, and have run data workloads with Docker and Helm. Google Cloud is preferred; AWS is fine. An operations and communication mindset. You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve.   Nice to Have Blockchain data: EVM, UTXO or non-EVM chain data models, and pulling data from nodes over JSON-RPC or gRPC. Graph or distributed key-value stores: entity resolution or clustering on large graphs. Infrastructure as code, GitOps and observability: Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus and Grafana, and load-test design. Experience building platforms that serve multiple data sources, datasets or product teams. AI-assisted development, and experience in fintech, compliance or AML. How We Work You'll join a small, senior team where everyone owns their work end to end. We make decisions based on measured evidence, not opinion. We keep design notes and runbooks next to the code. We test at production scale and run blameless post-incident reviews. We use AI coding tools every day, and we use judgement when reviewing what they produce. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: Poland; Netherlands; Spain Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. AML Risk and Controls Officer Internal job title: AML Investigator (2LOD) The Role Finom Payments serves small and medium-sized businesses across Europe, and every customer transaction passes through our Transaction Monitoring controls. As AML Investigator in the Second Line of Defence, you find the financial crime behaviour those controls miss, turn it into detection logic, and prove with data that the logic works in production. You work side by side with the AML Risk Manager, who owns the effectiveness of the AML Risk Engine in the Transaction Monitoring domain. You bring the investigative insight and the data analysis. Together you decide which rules and models to build or change, and you measure their results. What You Will Own You are accountable, together with the AML Risk Manager, for three outcomes: Forced closures: making sure the decision to close an account is taken correctly, and improving the methodology behind that decision. False negative rate: the share of financial crime cases that took place but were not covered by our controls. Control coverage of the FinCrime Scenarios Library: the share of typologies in the library covered by a live, tested and monitored control, with the uncovered ones prioritised by risk. Responsibilities Detect Analyse external sources (police, partners, industry typology reports) and internal sources (anomaly reports, model outputs) to identify anomalies in the transactional behaviour of Finom customers. Turn each confirmed anomaly into a documented scenario in Finom's FinCrime Scenarios Library, which covers the full range of AML risks. Build and monitor Design mitigation measures for each scenario with the AML Risk Manager: new rules, threshold changes and model features. Back-test every new or changed rule on historical data before release. Measure alert volume, hit rate and false positives. Prepare each release with a rule specification, test results and acceptance criteria, and work with Engineering on deployment. Monitor every live rule against its test targets, and tune, escalate or retire it when precision or alert volume drifts. Validate the results of internally developed Machine Learning models before release to production, and monitor their performance once live. Maintain the library and report its control coverage and the false negative rate. Take part in improving the Transaction Monitoring and CDD Risk Engines. Enable the organisation Develop training materials for the Transaction Monitoring and Quality Assurance teams, based on real cases and current scenarios. Identify and drive process improvements within the department, and draft and review system requirements for new features relevant to financial crime. Initiate and own ad hoc projects within the department. Take on other duties reasonably required for Finom's operational efficiency, whether you identify them or your manager assigns them. Desired Experience and Skills Required Minimum 2 years in the Second Line of Defence at a regulated financial institution, or 3 years in Transaction Monitoring in a senior role or a Process Owner role. Thorough knowledge of AML regulation and of money laundering typologies in transaction data, such as mule accounts, layering through fast pass-through payments, structuring, and misuse of business accounts. Confident, hands-on SQL: you write your own queries to investigate cases, back-test rules and monitor rule performance, including joins across large transaction tables. Experience with data analytics and visualisation tools such as Databricks, Metabase or Power BI, to build and maintain monitoring dashboards. Understanding of how detection rules are tested and measured: false positives, false negatives, hit rate, precision and recall, and back-testing. Structured, evidence-based thinking, attention to detail, and the ability to work on your own initiative with little supervision in a fast-moving start-up environment. Strong plus Practical use of AI tools in investigation and analysis, for example to summarise cases, draft queries, cluster patterns or document rules, with the judgement to check their output. Python or similar scripting for analysis and automation. Experience validating or monitoring Machine Learning models used in AML detection. Experience in a fintech, neobank or payment institution serving SMEs. How You Work Finom rejects the "Compliance says no" mentality. We want a colleague who empowers the business instead of limiting it: someone who weighs risk against customer impact, challenges the status quo, and proposes alternatives to a flat refusal. You communicate with colleagues at every level of seniority. You present your findings and recommendations in plain, concise language to people who are not compliance specialists, such as Product, Engineering and Operations. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Spain; Poland; Netherlands Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. AML Risk and Controls Officer Internal job title: AML Investigator (2LOD) The Role Finom Payments serves small and medium-sized businesses across Europe, and every customer transaction passes through our Transaction Monitoring controls. As AML Investigator in the Second Line of Defence, you find the financial crime behaviour those controls miss, turn it into detection logic, and prove with data that the logic works in production. You work side by side with the AML Risk Manager, who owns the effectiveness of the AML Risk Engine in the Transaction Monitoring domain. You bring the investigative insight and the data analysis. Together you decide which rules and models to build or change, and you measure their results. What You Will Own You are accountable, together with the AML Risk Manager, for three outcomes: Forced closures: making sure the decision to close an account is taken correctly, and improving the methodology behind that decision. False negative rate: the share of financial crime cases that took place but were not covered by our controls. Control coverage of the FinCrime Scenarios Library: the share of typologies in the library covered by a live, tested and monitored control, with the uncovered ones prioritised by risk. Responsibilities Detect Analyse external sources (police, partners, industry typology reports) and internal sources (anomaly reports, model outputs) to identify anomalies in the transactional behaviour of Finom customers. Turn each confirmed anomaly into a documented scenario in Finom's FinCrime Scenarios Library, which covers the full range of AML risks. Build and monitor Design mitigation measures for each scenario with the AML Risk Manager: new rules, threshold changes and model features. Back-test every new or changed rule on historical data before release. Measure alert volume, hit rate and false positives. Prepare each release with a rule specification, test results and acceptance criteria, and work with Engineering on deployment. Monitor every live rule against its test targets, and tune, escalate or retire it when precision or alert volume drifts. Validate the results of internally developed Machine Learning models before release to production, and monitor their performance once live. Maintain the library and report its control coverage and the false negative rate. Take part in improving the Transaction Monitoring and CDD Risk Engines. Enable the organisation Develop training materials for the Transaction Monitoring and Quality Assurance teams, based on real cases and current scenarios. Identify and drive process improvements within the department, and draft and review system requirements for new features relevant to financial crime. Initiate and own ad hoc projects within the department. Take on other duties reasonably required for Finom's operational efficiency, whether you identify them or your manager assigns them. Desired Experience and Skills Required Minimum 2 years in the Second Line of Defence at a regulated financial institution, or 3 years in Transaction Monitoring in a senior role or a Process Owner role. Thorough knowledge of AML regulation and of money laundering typologies in transaction data, such as mule accounts, layering through fast pass-through payments, structuring, and misuse of business accounts. Confident, hands-on SQL: you write your own queries to investigate cases, back-test rules and monitor rule performance, including joins across large transaction tables. Experience with data analytics and visualisation tools such as Databricks, Metabase or Power BI, to build and maintain monitoring dashboards. Understanding of how detection rules are tested and measured: false positives, false negatives, hit rate, precision and recall, and back-testing. Structured, evidence-based thinking, attention to detail, and the ability to work on your own initiative with little supervision in a fast-moving start-up environment. Strong plus Practical use of AI tools in investigation and analysis, for example to summarise cases, draft queries, cluster patterns or document rules, with the judgement to check their output. Python or similar scripting for analysis and automation. Experience validating or monitoring Machine Learning models used in AML detection. Experience in a fintech, neobank or payment institution serving SMEs. How You Work Finom rejects the "Compliance says no" mentality. We want a colleague who empowers the business instead of limiting it: someone who weighs risk against customer impact, challenges the status quo, and proposes alternatives to a flat refusal. You communicate with colleagues at every level of seniority. You present your findings and recommendations in plain, concise language to people who are not compliance specialists, such as Product, Engineering and Operations. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: London, UK DataArt’s Travel, Transportation & Hospitality Practice is looking for a client-facing professional. The role connects advanced AI tools to real business impact and involves working with client account teams and the AI + Data Lab across 50+ active travel accounts to find high-value use cases, prototype fast, validate with stakeholders, and drive adoption from C-suite to delivery teams. The role covers the journey from prototype to production. You will define how solution quality is measured once a solution is live and design for the controls enterprise clients operate under. Lead ideation and scoping of AI and ML proofs of concept with client account leaders Prototype AI features such as copilots, NLP services, and recommender systems Own the full lifecycle from internal demo and stakeholder validation to client presentation and the path to production Direct internal teams to execute with clarity, velocity, and alignment Build GenAI applications using RAG variations, agentic and hybrid models, cloud AI services, LLM APIs, vector search, and agentic SDKs Integrate AI solutions with Snowflake and Databricks Define how solution quality is measured in production through evaluation sets, accuracy checks, groundedness checks, drift detection, human in the loop checkpoints, and audit records Define reusable AI building blocks and travel specific agent scaffolds for internal delivery practices Shape internal best practice for GenAI across delivery Embed AI into client products and operations for personalization, crew operations, service automation, disruption handling, post booking servicing, reconciliation, and refunds Run workshops with client teams and business leaders Act as a translator and evangelist for responsible AI adoption and ROI Hands on experience with AI services from at least one major cloud such as Azure, AWS, or GCP Experience designing and implementing RAG based applications Experience taking AI solutions beyond pilot into production Experience validating AI solution performance before go live and monitoring it after release Practical understanding of AI evaluation including defining workflow correctness, building test sets, and measuring accuracy and groundedness Strong background with Snowflake and or Databricks for data engineering and AI pipelines Proven success leading client facing proofs of concept or MVPs from inception to delivery at Director level or above Ability to turn ambiguous business goals into scoped, testable, and scalable initiatives Fluency in open source versus commercial model tradeoffs and cost efficient architecture Prior exposure to the travel, transportation, or hospitality sector Experience with vector databases Experience with context engineering Experience with orchestration frameworks such as LangChain or Semantic Kernel Familiarity with fine tuning and understanding of when it is worth the effort Experience with agentic loop engineering Experience with AI observability or evaluation tooling Awareness of responsible AI practices including fairness, explainability, and usage boundaries

Location: Poland Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. What You Will Be Doing Own the monthly expense review: consolidate actuals, map vendors to the chart of accounts, analyse variances and turn them into clear conclusions for management Own headcount and staff cost reporting: consolidate HR, payroll and recruiting data, track plan vs actual and the run-rate effect of hiring Run the budget and quarterly forecast collection with 15+ budget owners: templates, consolidation, checks and follow-ups Review incoming costs daily, flag what is unusual or out of budget, and help budget owners stay within plan Automate recurring reports and build reliable data flows from source systems into our models and dashboards Support system changes from the finance side: data checks during the move to a new procurement tool, HR system and ATS Take on new areas that are not covered today, such as travel cost analytics and reimbursement budgets Spot problems and opportunities in the data before anyone asks, and come with a proposal, not only a finding Who You Are 3+ years in FP&A, financial planning or business finance, ideally in a fast-growing tech or fintech company Strong command of Excel or Google Sheets; you build models that others can follow and trust Comfortable with SQL and large datasets; you can combine data from several systems and reconcile it to the source Experience with budgeting, forecasting, cost analysis and, ideally, headcount and staff cost planning You work independently: you take a task, structure it, ask the right questions and deliver it with little guidance You see beyond the task: you ask what the numbers mean for the business and suggest what to do next Clear communicator in English, in writing and with non-finance stakeholders Nice to Have Experience with Power BI or similar BI tools, Databricks or Python Experience with Exact, NetSuite, Zip, Personio, HiBob or Remote Multi-entity experience across European countries Experience automating finance processes or implementing finance systems What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Cyprus Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. What You Will Be Doing Own the monthly expense review: consolidate actuals, map vendors to the chart of accounts, analyse variances and turn them into clear conclusions for management Own headcount and staff cost reporting: consolidate HR, payroll and recruiting data, track plan vs actual and the run-rate effect of hiring Run the budget and quarterly forecast collection with 15+ budget owners: templates, consolidation, checks and follow-ups Review incoming costs daily, flag what is unusual or out of budget, and help budget owners stay within plan Automate recurring reports and build reliable data flows from source systems into our models and dashboards Support system changes from the finance side: data checks during the move to a new procurement tool, HR system and ATS Take on new areas that are not covered today, such as travel cost analytics and reimbursement budgets Spot problems and opportunities in the data before anyone asks, and come with a proposal, not only a finding Who You Are 3+ years in FP&A, financial planning or business finance, ideally in a fast-growing tech or fintech company Strong command of Excel or Google Sheets; you build models that others can follow and trust Comfortable with SQL and large datasets; you can combine data from several systems and reconcile it to the source Experience with budgeting, forecasting, cost analysis and, ideally, headcount and staff cost planning You work independently: you take a task, structure it, ask the right questions and deliver it with little guidance You see beyond the task: you ask what the numbers mean for the business and suggest what to do next Clear communicator in English, in writing and with non-finance stakeholders Nice to Have Experience with Power BI or similar BI tools, Databricks or Python Experience with Exact, NetSuite, Zip, Personio, HiBob or Remote Multi-entity experience across European countries Experience automating finance processes or implementing finance systems What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Bangalore Workplace: hybrid ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. The Role You will design, build and run the systems behind our data products, covering ingestion, processing, analytical storage and serving. You own your work from the design document through to production. The people who design a pipeline also run it and answer for its numbers. Our stack is very wide, and we go deep in every part of it. We don't stop at "it works." We keep measuring, profiling and tuning to make systems faster, cheaper and more reliable. We want engineers who are razor sharp, pay close attention to detail, and care as much about why a query takes 800 ms as whether it returns the right answer. You don't need blockchain experience. If you're a strong data engineer who wants to learn it, we'd like to hear from you. What You'll Do Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains. Build backend data services and loaders in Go and Python. Design and evolve data models and analytical workloads in ClickHouse, and tune them for sub-second queries. Build incremental, idempotent pipelines on Databricks over billions of rows and tens of terabytes. Keep improving the scale, reliability, freshness, performance and cost efficiency of the platform. Investigate hard performance and reliability problems and see them through to resolution. Work closely with the product, analytics and investigations teams that use the data, and turn their needs into platform designs. Help set technical direction through architecture discussions, design reviews and code reviews. Mentor engineers and help set strong engineering and operational practices. What You Bring 5+ years building and operating production data systems, including ETL and ELT pipelines. At least two of those years should be spent owning systems that other engineers depend on. Expert Python and strong SQL. You write typed, tested code, are comfortable with asyncio and concurrency, and have built incremental data models over billions of rows. Go for backend services. You have built and run high-throughput services or data loaders in Go in production. ClickHouse in production. You know MergeTree schema and sort-key design, materialised views, bulk loads and query tuning. Databricks in production. You have worked with PySpark, Delta Lake and Unity Catalog, designed incremental and idempotent tables, and kept an eye on compute cost. Large-scale data. You have hands-on experience with pipelines over billions of rows and tens of terabytes. You understand how partitioning, clustering and file sizing affect cost and latency. Kafka, Airflow and Kubernetes in production. You understand delivery semantics and idempotent writes, have handled backfills and failures, and have run data workloads with Docker and Helm. Google Cloud is preferred; AWS is fine. An operations and communication mindset. You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve.   Nice to Have Blockchain data: EVM, UTXO or non-EVM chain data models, and pulling data from nodes over JSON-RPC or gRPC. Graph or distributed key-value stores: entity resolution or clustering on large graphs. Infrastructure as code, GitOps and observability: Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus and Grafana, and load-test design. Experience building platforms that serve multiple data sources, datasets or product teams. AI-assisted development, and experience in fintech, compliance or AML. How We Work You'll join a small, senior team where everyone owns their work end to end. We make decisions based on measured evidence, not opinion. We keep design notes and runbooks next to the code. We test at production scale and run blameless post-incident reviews. We use AI coding tools every day, and we use judgement when reviewing what they produce. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

👉🏻 будувати й підтримувати data pipelines; 👉🏻 автоматизувати ingestion, transformation, validation та loading даних;

Location: Poland; Czechia; Bulgaria; Croatia; Romania; France About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role Our client is a Big4 Consultancy group that works with leading financial institutions on AI-driven transformation, automation, advanced analytics, and financial crime prevention . Their work spans intelligent fraud detection, AML/KYC modernization, autonomous workflows, enterprise AI platforms, and the secure industrialization of AI in highly regulated environments. We are looking for an experienced Security Architect to lead the security approval and data-protection readiness of the solution. You will act as the main technical security contact with the client’s CISO, data-protection, and country security teams , covering cloud security, AI/LLM risk, penetration testing, secure data handling, and formal architecture approvals. CONTRACT: Contractor assignment, expected October 2026 – July 2027, with potential extension COMMITMENT: Full-time LOCATIONS: Central and Eastern Europe, EU-authorized, REMOTE PROCESS: Initial qualification followed by technical and client interviews NOTES: Fluent English is required. Responsibilities Review the end-to-end security architecture across identity, access, secrets, networking, data handling, and logging. Ensure sensitive and personal data are handled securely and are not exposed through logs or operational tooling. Prepare and drive formal security architecture approval and new-technology review processes. Support security reviews covering AI / LLM usage, web search, and new technology components . Coordinate penetration testing and follow up on remediation of findings. Support the Data Protection Impact Assessment (DPIA) and AI model-risk review. Define and agree data-handling principles with the client CISO, data-protection, and country security teams. Review cloud and application security controls across Azure, Databricks, APIs, and supporting services. Support secure delivery across development, testing, production, and country rollout environments. Act as the primary security point of contact between engineering teams and client security stakeholders. Requirements Strong experience in security architecture and approval processes within large regulated organizations. Strong hands-on knowledge of Azure security , including Entra ID, Key Vault, private endpoints, and Microsoft Defender. Experience with penetration testing, vulnerability management, and OWASP practices. Knowledge of OWASP security risks for LLM / AI applications . Experience with code and dependency scanning using tools such as SonarQube, JFrog Xray, or similar. Strong understanding of GDPR, data protection, privacy, and secure handling of personal data . Experience working with CISO, security governance, privacy, and engineering teams. Ability to communicate security risks and controls clearly to both technical and non-technical stakeholders. Highly preferred: Experience in insurance, banking, or other highly regulated environments .

Location: Multiple Countries Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan. We are looking for an experienced Software Developer for a long-term project. The customer is a company in California, an industry leader in the sale of tickets to events in Europe and the USA. We offer 100%  remote, full-time work. Requirements: Software development experience, preferably in Java or Python; Experience using Claude Code or similar agentic development platform; Strong SQL skills; Experience with Databricks; Experience with Gitlab and Ci/CD; Experience with Salesforce Marketing Cloud; Experience with AWS and Terraform; Spoken English at Intermediate level or higher; ; Working conditions: Remote work with no time trackers Full-time (8 hours/day) Flexible schedule with core overlap during US working hours Attractive USD compensation Paid vacation, holidays, sick leaves

We are looking for a Middle Data Engineer with strong Snowflake, SQL and dbt skills to build and support production data pipelines. • 2+ years of data engineering experience.

We are looking for a Middle Data Engineer with strong Snowflake, SQL and dbt skills to build and support production data pipelines. • 2+ years of data engineering experience.

Location: London, United Kingdom Workplace: hybrid About The Role: Reporting to the Treasury Technology Lead, this is a senior, hands-on role within Treasury, operating at the centre of how Paysend prices and controls FX across 170+ countries. You will own the FX pricing platform end to end, covering how rates are sourced, controlled and delivered to every product. You will also own the automated treasury reconciliation that confirms every treasury movement is accounted for. You will be the go-to person for FX configuration, rate integrity and reconciliation breaks, and the product owner taking these systems from manual processes to automated, production-grade infrastructure. The role requires someone who understands FX markets, is comfortable working directly with data, and has delivered systems into production rather than only specifying them. This is not a pure operations or business analysis role. We are looking for someone who can run a live FX system with financial impact every day, while designing and implementing what replaces the manual parts of it. What You'll Do (Responsibilities): FX Pricing & Rate Management Own the configuration of the FX pricing engine, including instruments, currency pairs, rate sources, quote objects, contracts, tariffs and trade modes. Onboard and maintain rate sources across market data providers, liquidity providers, card schemes, central banks and partner rates, ensuring uninterrupted quote delivery. Set and adjust treasury spreads in line with market conditions and pricing policy, and maintain the treasury rate methodology used by all products. Configure FX pricing for new partners, products and corridors, including stablecoin pairs, with the Enterprise, Consumer and Network teams. FX Risk & Control Run and continuously improve the daily FX rate control process: identifying off-market and invalid quotes, investigating deviations against market and partner rates, and escalating where required. Own FX alerting and monitoring, including deviation thresholds, exception lists and source freshness, replacing manual checks with automation. Manage user roles and access rights in the FX system, maintaining segregation of duties across Treasury, Product, Enterprise and Finance. Provide FX evidence for audits, risk reviews and pricing governance, and supply data for gross margin analysis and the pricing committee. Treasury Reconciliation Own the automated reconciliation of internal treasury transactions (FX deals and transfers) against bank and partner data, including matching logic, exception handling and the manual correction process. Extend reconciliation coverage to new banking and liquidity partners, defining data mappings and transformation rules for each. Maintain the logic that converts reconciled data into NetSuite journals, partnering with Finance and the Settlement and Reconciliation team on accuracy and audit trail. Investigate and resolve reconciliation breaks independently, and report on status and recurring issues. Business Analysis & Implementation Act as the business analyst and product owner for all treasury technology initiatives. Gather, structure and validate requirements with stakeholders, and translate them into functional specifications, data models and acceptance criteria. Lead delivery with Engineering through prioritisation, testing, release validation, user training and production cutover. Drive the roadmap towards an automated treasury FX platform covering price aggregation, FX deal execution with liquidity providers, real-time currency position monitoring, limits and FX booking. Analyse data in SQL and build Python tooling for monitoring, bulk configuration and reporting, using AI-assisted development where it accelerates delivery. Act as the escalation point for FX configuration, access and data requests through the Treasury Helpdesk, and define and enforce Treasury acceptance standards for functionality delivered by other teams. Work independently on ambiguous problems, bringing structured solutions, and document processes, controls and configuration so that the platform does not depend on a single person. What You’ll Need To Be Successful In This Role: Essential: 5+ years in FX within a fintech, payments company, bank or broker, in FX operations, pricing, treasury systems or FX product. Strong understanding of FX market mechanics, including bid/ask/mid, spreads and markups, cross rates, liquidity sources and FX risk drivers. Strong SQL, with the ability to query, validate and reconcile large transactional datasets independently. Working Python, with the ability to build, read, test and maintain data logic, whether written by hand or with AI tools, and take accountability for the results. Proven experience taking FX, treasury or reconciliation functionality from requirements through UAT into production. Hands-on reconciliation experience, including matching logic, break investigation and the link to accounting entries. Familiarity with APIs and integration concepts (REST, authentication, webhooks, JSON/XML). Competencies: Strong attention to detail where configuration errors have direct financial impact, combined with the ability to see the bigger picture. Sound judgement and confidence acting on non-routine market events. Clear written communication of processes, controls and requirements to technical and non-technical stakeholders. Proactive, self-starting approach with a track record of automating manual work. Desirable: Experience with market data providers (e.g. Refinitiv/LSEG) or trading and RFQ platforms (e.g. 360T); familiarity with the FIX protocol. Exposure to FX execution, position management or treasury management systems. Experience with Databricks, NetSuite, or BI tools such as Superset or Metabase. Knowledge of payment rails, card scheme FX, or stablecoin FX. Experience in a regulated environment (FCA/EMI), including safeguarding. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

The Full-Stack Platform Engineer provides senior technical leadership and hands-on engineering for a secure enterprise data analytics platform supporting a federal environment.

At Halcyon, we’re building a world-class anti-ransomware platform grounded in innovation and resilience. As part of that vision, we’re looking for a Senior Backend Engineer to join our cloud team.

Проектирование, создание и обслуживание масштабируемых конвейеров данных для получения, интеграции и управления данными из различных источников и систем генерации данных (например, лабораторные системы, MES, производство клинических препаратов, системы качества, внешние партнеры).