Задачи:
— создание и наполнение единого хранилища данных
— создание, тестирование, оптимизация и поддержка ETL процессов
— анализ и интерпретация данных
— выполнение ad hoc запросов
— разработка методологии для продуктов и контрактов
— распределение доступа к данным и управление безопасностью для соблюдения правил конфиденциальности
— составление документации и инструкций для пользователей, исследователей и аналитиков данных
Требования:
— высшее образование
— знание SQL для анализа данных на продвинутом уровне
— опыт работы с данными (СУБД, BI, DWH)
— опыт работы с ETL-инструментами
— знание Python, Postgres, Clickhouse, Airflow, Superset
— проактивный подход и умение самостоятельно решать задачи
Условия:
— заработная плата по результатам собеседования
— график работы 5/2, с 09:00 до 18:00
— офис в шаговой доступности от м. Чистые пруды
— оформление по ТК РФ
— ежегодная индексация
— льготы на отдых и оздоровление для вас и ваших родных
— корпоративная жизнь и спорт
— и многое другое
Требования:
— Опыт разработки автотестов на Python с использованием pytest и/или unittest не менее 3 лет.
— Тестирование пайплайнов Spark, Airflow, NiFi и Dolphin.
— Опыт работы с CI/CD системами, такими как Jenkins, GitLab CI или аналогичными.
— Тестирование интеграций с Kafka и Elasticsearch.
— Тестирование REST и SOAP API, включая HTTP/HTTPS, JSON, XML, авторизацию и проверку ответов.
— Знание особенностей Oracle и умение разбираться с возникающими проблемами.
— Навыки написания стабильного, понятного и поддерживаемого тестового кода.
— Знание основ тест-дизайна: классы эквивалентности, граничные значения, позитивные и негативные сценарии.
— Уверенная работа с Git и базовые навыки работы в Linux/командной строке.
— Написание SQL-запросов для проверки данных в базах данных, включая JOIN, CTE и оконные функции.
— Работа с тестовыми данными: подготовка, валидация, очистка и проверка целостности.
— Анализ логов, данных в базах данных и сообщений в брокерах для локализации дефектов.
— Создание тест-планов, чек-листов и отчетов о дефектах.
— Приоритизация тестовых сценариев с учетом бизнес-критичности и рисков.
Условия:
— Удаленная работа с учетом часового пояса ± 2 МСК.
— Полная занятость.
Откликаться необходимо через форму: https://forms.gle/qxF3H1eiV4E4T7p19
1inch ищет технически сильного руководителя направления Data & Analytics, который объединит глубокую экспертизу в DeFi, Data Engineering, аналитике и AI для улучшения принятия бизнес-решений. • SQL, Dune Analytics • ClickHouse и Airflow.
УдалённоleadГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
-На текущий момент мы подготовили инфраструктуру на базе Hadoop и GreenPlum для загрузки, обработки и построения витрин данных. Описали и загрузили данные нескольких продуктов холдинга и приступили к описанию и загрузке следующих.
Location: Санкт-Петербург
Мы ищем опытного и неравнодушного коллегу, который погрузится в процессы построения управленческой отчетности Банка на Платформе Digital Reporting.
Наша команда специализируется на решении сложных интеграционных задач и внедрению инноваций.
Наш основной бизнес-продукт - E2E-тракты с расчетными витринами для управленческой отчетности Банка.
Техстек: Greenplum, MS SQL, Python, Git, BitBucket, Jira, Confluence.
Обязанности
* проектирование архитектуры решения (определение интеграционного сценария, подготовка архитектурной спецификации, согласование предложенного решения)
* анализ первичных данных, проработка бизнес-требований с Заказчиками, ведение документации
* реализация E2E-тракта поставки данных (создание потока загрузки данных в Платформу, логики очистки данных, структуры хранения, процедур расчета-бизнес-логики на Greenplum)
* настройка оркестрации ETL-потока (внутренний аналог AirFlow).
* разработка ККД как на входные данные, так и на результаты работы выходных витрин
* тестирование реализованных решений, проведение ПСИ с Заказчиками
* оптимизация существующих решений (сокращение нагрузки на КТС, Т2М и т.д.)
* адаптация функционала под требования производственного процесса.
* стабилизация и передача реализованного решения на бизнес-поддержку.
Будет плюсом:
* использование LLM GigaChat для решения задач обработки текста и численных данных
* разработка AI-агентов для автоматизации внутренних бизнес-процессов (IT-поддержка, разработка, аналитика, сопровождение).
Требования
* имеешь высшее образование в области математики, статистики, информатики или смежных дисциплин
* владеешь SQL (запросы, хранимые процедуры и функции, оптимизация)
* имеешь опыт работы с СУБД (Greenplum/Teradata/Oracle/MS SQL), с классическими методами машинного обучения (кластеризация, логистическая регрессия)
* имеешь успешный опыт создания промышленных AI агентов
* понимаешь работу DWH, ETL-инструментов, принципы работы и возможности современных языковых моделей (LLM)
* обладаешь опытом ведения разработки в BitBucket/Git, навыками программирования на Python (pandas, numpy, scikit-learn, PyTorch/TensorFlow)
* понимаешь принципы банковского дела
* умеешь решать проблемы и работать в условиях многозадачности
* умеешь обрабатывать большие объемы структурированных и неструктурированных данных
* разделяешь ответственность за оценку сроков по своим задачам и их соблюдение.
Условия
* комфортный современный офис: Санкт-Петербург, ул. Уральская 1 (метро Василеостровская)
* 100% офисный формат работы
* ежегодный пересмотр зарплаты и годовая премия
* корпоративный спортзал и зоны отдыха
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* бесплатная подписка СберПрайм с возможностью поделиться с тремя близкими, скидки на продукты компаний-партнеров
* вознаграждение за рекомендацию друзей в команду Сбера.
Location: Poland; Georgia; Serbia; Bulgaria; Czechia; Kazakhstan
We are looking for a Data Engineer to join our team and help build and maintain scalable data pipelines and data warehouse solutions.
In this role, you will work with large datasets, design efficient data processing workflows, and ensure the reliability and performance of our data platform.
Since 2007, MMDSmart has been a leading supplier in cloud-based business communications, delivering game-changing IT products to businesses in over 100 countries. Our success is fueled by the inspiration and innovative ideas of our team members, encouraging their growth and impacting our Messaging and Voice solutions. These empower our clients to communicate more effectively with their customers. Don’t miss this chance to excel in a rapidly expanding tech company, where your potential and ambitions are not just recognized, but celebrated.
Requirements
What will you do at MMDSmart?
Design, build, and maintain data pipelines for batch and streaming data processing;
Develop and optimize ETL workflows using Python and SQL;
Build and maintain Airflow DAGs for orchestration of data workflows;
Implement data transformations and data quality checks;
Optimize BigQuery queries and data models for performance and cost efficiency;
Troubleshoot and improve reliability of existing pipelines;
Collaborate with analysts and engineering teams to support data needs.
You are a perfect match if you have:
4+ years of experience as Data Engineer;
Strong experience with SQL and Google BigQuery;
Experience building data pipelines and ETL processes;
Solid knowledge of Python for data processing;
Hands-on experience with Apache Airflow;
Experience working with large datasets;
Understanding of data modeling and data warehouse concepts;
Experience with query optimization and cost-efficient data processing;
Experience with data pipeline monitoring and observability;
Lannguage knowledge: fluency in Russian and English.
Nice to have:
Experience with Kafka or streaming data pipelines.
You will primarily focus on:
Building and maintaining data pipelines;
Batch and streaming data processing;
Data transformation and orchestration;
Performance and cost optimization.
Our Tech Stack
Google BigQuery;
Python;
Apache Airflow;
Apache Spark (PySpark).
The role does not involve DevOps, ML, or BI development.
Benefits
Why do talents choose and stay at MMDSmart?
Embrace the opportunity to work in a company that cares about:
Your Wellness:
Access to mental health programs, comprehensive medical insurance, and a sports card*.
Your Happiness:
Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts.
Your Development:
Benefit from free educational events & courses, and English classes with native speakers.
Your Career:
Focus on your professional development in a supportive environment.
Work-Life Balance:
Choose your working format - remote, office-based, or hybrid and engage in team-building activities.
Think this role's got your name on it? Go ahead and apply, we'd love to see what you've got!
Equal-Opportunity Employment
We are an equal opportunity employer committed to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
*Medical Insurance and Sport Card perks are available for employees located in Bulgaria.
Location: South Africa; Philippines; Morocco; Egypt; Germany; United Kingdom
About Huzzle
At Huzzle, we connect exceptional talent with exciting opportunities at leading companies across the UK, US, Canada, Europe, and Australia. We work with a diverse range of clients, including startups, digital agencies, and technology-driven businesses across industries such as SaaS, MarTech, FinTech, and AI.
Unlike traditional outsourcing agencies, we place you directly with our clients, where you become an integral, in-house member of their team.
Job Type:
Full-time
Location:
Remote
Job Summary
As a Data Engineer, you will play a key role in designing, developing, and maintaining scalable data pipelines and infrastructure. You will collaborate with data analysts, data scientists, software engineers, and business stakeholders to ensure data is reliable, accessible, and of high quality across the organisation.
This is a great opportunity for professionals who enjoy tackling complex data challenges and building robust systems that power business intelligence, analytics, and machine learning initiatives.
Key Responsibilities
Design, build, and maintain scalable ETL and ELT data pipelines.
Develop and optimize data architectures, databases, and data warehouses.
Integrate data from various sources, APIs, and third-party platforms.
Maintain data quality, accuracy, consistency, reliability, and security.
Monitor, troubleshoot, and improve data pipelines and workflows.
Work closely with analytics, engineering, and business teams to identify and meet data requirements.
Establish data governance standards and best practices for data management.
Improve data storage, processing speeds, and query performance.
Support business intelligence, reporting, and analytics projects.
Maintain documentation of data models, workflows, and technical processes.
Requirements
2+ years of experience in data engineering, data warehousing, or a similar field.
Strong SQL skills and a solid understanding of database management.
Proficiency in Python, Java, Scala, or other relevant programming languages.
Practical experience with ETL/ELT tools and building data pipelines.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Hands-on experience with modern data warehouse solutions such as Snowflake, Redshift, BigQuery, or Databricks.
Knowledge of workflow orchestration tools such as Airflow or Prefect.
Understanding of data modelling, governance, and data quality best practices.
Experience handling large datasets and working with distributed systems is an advantage.
Strong analytical thinking, problem-solving, and communication abilities.
Comfortable working independently while collaborating with a remote team.
Benefits
💰
Competitive compensation:
Tailored to your experience, technical skills, and location.
🌎
Fully remote work:
Enjoy the flexibility to work from anywhere.
🚀
Career development:
Join innovative companies and contribute to meaningful, high-impact projects.
📈
Long-term potential:
Grow your career alongside ambitious, expanding global organisations.
🧠
Ongoing learning:
Gain exposure to emerging data technologies, cloud platforms, and large-scale data environments.
🤝
Collaborative environment:
Work with skilled engineers, analysts, and business stakeholders.
⚙️
Modern tech stack:
Work with cutting-edge data tools, technologies, and cloud-based solutions.
Location: European Union
At
Toloka AI
we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains - from doctors and lawyers to physicists and engineers - and boast one of the most diverse global crowds,
representing over
100 countries and speaking 40+ languages
. We are a well-funded startup with an enviable portfolio of clients including
Anthropic
,
Amazon
,
Microsoft
,
Poolside
,
Recraft
, and
Shopify
.
Recently, we secured strategic investment led by
Bezos Expeditions
and
Nebius Group
with participation from
Mikhail Parakhin
,
CTO of Shopify
and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world:
USA
,
UK
,
the Netherlands
,
Serbia
, and more.
What this role is about (& Project details)
Our team builds the systems that detect and stop fraud on the Toloka platform. Fraud here is a moving target: bad actors adapt quickly, test our defenses, and increasingly use automation and LLMs to get around them. The same technologies give us a lot of room for new ideas, and we’re looking for someone to help us stay ahead.
You’ll sit at the intersection of analytics and applied ML. You’ll dig into data, find patterns nobody has noticed yet, turn them into hypotheses, and then into working defenses: models and automated pipelines running in production.
What you'll actually do
Explore data to find new fraud patterns, anomalies, and insights, and to understand how fraudsters operate.
Design metrics that show how our protection works, and build dashboards and charts that make them visible.
Generate hypotheses from data and test them rigorously.
Turn validated hypotheses into production solutions: rules and heuristics, ML models, and LLM-based approaches.
Build and maintain data pipelines (SQL, Python, Airflow) that keep our defenses running and up to date.
Think like an attacker. Anticipate how a new defense could be bypassed, and design it to hold up from day one.
Own your area end to end: from the first insight to a deployed solution and its ongoing monitoring.
Help shape anti-fraud rules and policies, including how we define and classify fraud.
What we evaluate
Analytical thinking.
You can frame a vague problem, choose the right metrics, and draw sound conclusions from messy data.
Hypothesis-driven approach.
You generate ideas from data and know how to test them properly.
SQL.
You write confident, efficient queries on large datasets (ClickHouse experience is a plus).
Python & ML.
You can build features, train and evaluate models, and ship them to production. Practical experience with LLMs is a plus.
Data pipelines.
You have working experience with Airflow or similar orchestration tools.
Product sense.
You understand the trade-offs of protection: false positives, impact on honest users, and cost.
Nice to have, none required
Hands-on experience in anti-fraud, trust & safety, risk, or abuse prevention (a big plus).
Experience with anomaly detection, graph analysis, or behavioral modeling.
Experience applying LLMs to analytical or classification tasks.
Experience with Databricks.
Experience with crowdsourcing or data annotation platforms.
What we can offer
You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector.
Competitive compensation package including
base salary
,
bonus
, and
ESOP
.
Flexibility: we offer remote or hybrid employment. You will also design with your manager a workday that works best for you;
Paid PTO
and benefits will vary depending on location.
IT setup and home office allowances.
Personal and career development: we support employee’s ambition for professional development and encourage them to implement their ideas in their projects;
[Important Notice] Scam Alert Regarding Fake Job Postings
It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware:
Official Communication:
Our recruiting team will
only
contact you from an official "
toloka.ai
" email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts.
Our Process:
We will
never
ask for your bank account details, credit card number, or any fees as part of the application or interview process.
Official Listings:
All legitimate job openings are posted on our official careers page:
https://toloka.ai/careers#job-list
What to do:
If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at
security@toloka.ai
and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it.
Thank you for your vigilance!
Location: Санкт-Петербург
Workplace: гибкий
Стриминговый сервис, который объединил музыкальную платформу ВКонтакте и отдельное приложение VK Музыка. Миллионы пользователей слушают здесь любимые песни, а тысячи артистов находят свою аудиторию.
Задачи
Миграция в целевую архитектуру данных
Реализация и систематизация ETL-процессов согласно требованиям
Оптимизация работы с данными для продуктовой аналитики
Документирование данных и процессов по управлению данными
Требования
Профессиональные знания и навыки: Python, SQL, Airflow, ClickHouse
Опыт работы: 4+ года в разработке или data engineering
Опыт построения архитектуры DWH объёмом 100+ TB
Опыт создания ETL-процессов
Опыт миграции данных между различными БД
Будет плюсом
Опыт работы с YTsaurus.
Location: New York, NY, United States
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
About the Team
Fanatics Core is the engineering organization building the shared capabilities, including search, AI, and customer intelligence, that every product across the Fanatics ecosystem builds on. We are seeking an Engineering Manager to lead the team that owns Search and Consumer AI. This leader will own some of the most leveraged surfaces we build: how fans find what they’re looking for, how AI shows up inside our apps, and how AI powers an excellent customer experience.
You will lead a team of software engineers spanning two closely connected charters:
Consumer AI:
customer support AI, including LLM-powered assistants, conversational analytics, sentiment analysis, predictive troubleshooting, and the tooling that lets customer success teams act on AI-generated insights; and (2) embedded AI experiences in the fan journey, such as AI commentary, recommendations, summaries, and in-app assistance.
Search:
native search, including query understanding, relevance and ranking, autocomplete, and personalization; and (2) AI search, including natural-language and conversational search that lets fans ask for what they want in their own words and get answers, not just results.
Success in this role requires strong partnership with Product, Data Science, Customer Operations, and product teams across the ecosystem to shape the roadmap, make smart trade-offs, and deliver outcomes fans feel. You’ll work on complex, high-scale challenges as part of a team that values innovation, collaboration, and excellence.
Responsibilities
Delivery & Ownership
Lead the team to deliver against commitments across Search and Consumer AI, owning delivery plans end to end: scope and sequence work, remove blockers, and manage risk.
Set a high bar for reliability, performance, and relevance quality, with observability in place for AI and search services.
Ensure the team’s work meets Fanatics standards for data governance, security, compliance, and responsible AI.
Own on-call, incident response, and operational health for the team’s systems.
Strategy & Roadmap
Partner with Product and engineering leadership on planning and roadmap building, using technical insight and fan impact to influence priorities.
Connect day-to-day execution to team strategy and Fanatics business goals so engineers understand why their work matters.
Partner with product teams across the ecosystem to embed AI experiences into their surfaces, agreeing on shared ownership, interfaces, and quality bars.
Guide how LLMs and ML models are evaluated, integrated, and rolled out in production.
Communication & Collaboration
Coordinate across engineers, adjacent teams, and cross-functional partners to drive end-to-end delivery.
Represent the team’s plans, progress, and risks in planning and review forums.
Keep the team informed on goals, trade-offs, and decisions, and create space for two-way feedback.
People & Ways of Working
Hire, onboard, and grow a high-performing team; give candid, timely feedback and invite the same.
Mentor engineers on craft, ownership, and collaboration, and support their career growth.
Build team processes (planning, reviews, retros, experimentation) that help the team learn fast and ship reliably.
Must be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team building.
Qualifications
We value aptitude over experience, but here are some key skills that will make you successful on this team:
1-3+ years managing a software engineering team, or significant tech-lead experience with people-leadership responsibilities, delivering complex, high-scale systems.
Experience in a Java / AWS ecosystem; familiarity with AWS Bedrock or equivalent managed AI services preferred.
Experience shipping consumer-facing AI/ML or NLP features to production, including integrating LLMs and building the pipelines and evaluation practices that keep them reliable.
Strong understanding of search, discovery, or relevance systems, including how traditional search and LLM-based approaches complement each other.
Strong technical judgment and clear, confident communication with engineers, Product partners, and leadership.
Proven ability to mentor engineers and build a healthy, high-performing team culture.
Preferred
Background in customer support AI or embedded consumer AI experiences (assistants, conversational analytics, AI commentary, recommendations).
Familiarity with Kafka, Airflow, dbt, OpenSearch, Kotlin, and Salesforce.
Experience building shared platforms consumed by multiple product teams.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
#LI-VG1
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$190,000
—
$237,500 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Задачи:
— разработка решений на Python для обработки и преобразования данных;
— построение автоматизированных workflow с использованием Apache Airflow, включая планирование, управление зависимостями, мониторинг и обработку ошибок;
— создание и поддержка Docker-окружений для воспроизводимого выполнения задач;
— интеграция источников данных, API и вычислительных инструментов в автоматизированные процессы;
— повышение надёжности, масштабируемости и сопровождаемости пайплайнов через тестирование, логирование и оптимизацию производительности;
— сотрудничество с инженерными и научными командами.
Требования:
— сильные навыки программирования на Python и опыт разработки решений для обработки данных;
— практический опыт работы с Apache Airflow или аналогичными оркестраторами;
— опыт с Docker и контейнеризацией;
— практический опыт с PostgreSQL и/или Snowflake;
— понимание ETL/ELT-процессов, интеграции данных и автоматизации workflow;
— умение разбираться в сбоях пайплайнов и строить надёжные сопровождаемые решения.
Плюсом будут:
— опыт с другими оркестраторами;
— знакомство с AWS;
— опыт проектирования и интеграции API;
— знание Kubernetes и GitOps;
— опыт разработки AI-приложений;
— бэкграунд в life sciences, вычислительной химии, биоинформатике или поиске лекарств.
Условия:
— работа удалённо;
— полная занятость;
— сотрудничество по B2B-контракту с выплатами в USD или EUR либо по трудовому договору.
Location: Remote - Brazil; Remote; Remote - EMEA
Workplace: Remote
ABOUT US
Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so.
Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.
We're a passionate team who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.
Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.
ABOUT THE ROLE
We are hiring Senior Analytics Engineers across multiple teams at Constructor. Wherever you land, you will turn billions of daily events into reliable, usable data products: the pipelines, models, dashboards, and tools that teams and customers depend on to make decisions.
This is not a pure data engineering role — our analytics engineers combine strong technical craft with genuine business understanding, so the data they model answers the questions that actually matter. During the interview process we will get to know your strengths and interests and match you with the team where you can have the biggest impact.
WHAT YOU'LL DO
- Design and build data pipelines and data models that power analytics and reporting
- Build dashboards, reports, and tools that make large-scale behavioral data usable and trustworthy
- Define and validate business metrics together with stakeholders, not just implement them
- Ensure data quality, consistency, and performance across systems processing billions of events
- Partner with analysts, engineers, and product managers to translate business needs into well-designed data solutions
- Work with SQL, Python, and distributed data systems at very large scale
REQUIREMENTS
- Strong experience building data pipelines, data models, and analytics tooling
- Expert-level SQL and experience working with large-scale datasets and distributed data systems
- Experience with Python for data work and tooling
- Experience with modern analytics stacks (e.g. dbt, Airflow, or similar modeling and orchestration tools)
PRODUCT & BUSINESS UNDERSTANDING:
- Experience defining and validating business metrics and understanding why they matter
- Understanding of product funnels and ecommerce metrics (revenue, conversion, engagement)
- Ability to translate stakeholder needs into data models, dashboards, and tools
Communication & ownership:
- Ability to communicate clearly with both technical and business stakeholders
- Comfortable owning an analytics area end to end in a fast-paced environment
Preferred skills:
- Experience building customer-facing or embedded analytics
- Experience working in e-commerce
BENEFITS
- 🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact.
- 🎉 Regular team offsite events to connect and collaborate.
- 🌎 Fully remote team - choose where you live.
- 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
- 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office.
- 💻 Apple laptops provided for new employees.
- 🧑🎓 Training and development budget for every employee, refreshed each year.
- 👪 Maternity & Paternity leave for qualified employees.
- 💵 Base salary: $80k–$120K USD depending on knowledge, skills, experience, and interview results
- 📈 Stock options - offered in addition to the base salary
DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don't meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: Kyiv; Lviv
Workplace: onsite
Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем.
Ми шукаємо фахівця до Operations підрозділу на позицію Data Analyst.
Необхідні знання та навички:
SQL та робота з даними: SQL (JOIN, CTE, Window Functions), Databricks / Spark SQL, Delta Lake, моделювання та перевірка якості даних.
Автоматизація: Google Sheets (QUERY, ARRAYFORMULA, IMPORTRANGE), Apps Script, API.
Інструменти: Jira (JQL, REST API), Confluence, BI-дашборди.
Виробничі процеси: розуміння BOM, NPI, специфікацій, 1С / SAP MM, планування матеріалів і закупівель.
Аналітичні навички: робота з великими обсягами даних, визначення KPI, виявлення помилок і пошук першопричин.
Системне мислення, уважність до деталей, проактивність, самостійність та комунікація.
Буде плюсом:
Досвід роботи з Python (pandas, numpy), ETL-процесами та автоматизацією звітності.
Знання інструментів оркестрації: Airflow, Databricks Jobs.
Досвід роботи з dbt, Unity Catalog, Data Lineage та Data Catalog.
Розуміння процесів планування закупівель, ABC/XYZ-аналізу, Lead Time та прогнозування запасів.
Досвід інтеграції систем через API та Webhooks, створення ботів для Jira.
Досвід роботи з великими наборами даних (CSV / Parquet, 10+ млн рядків).
Навички побудови прогнозних моделей і статистичного аналізу.
Розуміння BPMN, User Stories, Git.
Завдання:
Збирати, обробляти та звіряти дані з різних джерел (РНД-план, 1С, Jira тощо).
Розробляти та підтримувати аналітичні моделі, звіти й BI-дашборди.
Автоматизувати збір, обробку даних і регулярну звітність.
Аналізувати виробничі процеси, потреби в матеріалах, запаси та закупівлі.
Виявляти помилки, розбіжності й операційні ризики, знаходити їхні причини та пропонувати рішення.
Розробляти метрики й KPI для моніторингу ефективності R&D Operations.
Інтегрувати внутрішні системи та автоматизувати обмін даними між ними.
Взаємодіяти з R&D, виробництвом, закупівлями та плануванням для оптимізації процесів.
Пропонуємо:
Можливість пропонувати та реалізовувати власні ідеї, які впливають на продукт та його масове виробництво;
Місце у стрімко зростаючій компанії з вмотивованою професійною командою;
Конкурентну заробітну плату;
Медичне страхування;
Корпоративні заняття з англійської мови;
Можливість взяти участь у внутрішньому проєкті бета-тестування систем безпеки Ajax;
Знижки на продукти компанії та партнерів
Ajax Systems — це українська історія успіху, яка виросла в глобальний продукт. Пристроям Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації.
Задачи:
— Валидация процессов загрузки данных.
— Проверка корректности скачивания данных из внешних источников, включая БКИ, ЦБ и ФНС.
— Тестирование механизмов обновления и проверка отсутствия дубликатов при повторной загрузке.
— Блокировка записей с аномалиями: ошибками источника и некорректными форматами.
— Анализ технических заданий и мэппингов для проектирования тест-кейсов.
Требования:
— Опыт интеграции внешних источников: БКИ, ФНС, ЦБ, API-партнёры.
— Практическое знание SQL.
— Опыт работы с S3, Iceberg и слоями RAW/ODS/DDS.
— Базовое чтение кода на Python для анализа скриптов обработки данных.
— Опыт работы с Airflow, Spark, S3/Hadoop.
Условия:
— Удалённая работа по России.
— Официальное оформление по ТК РФ с полностью официальной зарплатой.
— Полная занятость.
Автоотклики