Senior Data Engineer/Architect

Responsibilities: — Design and maintain robust, scalable data pipelines. — Build infrastructure to power AI-driven product features. — Collaborate with product and ML teams to turn raw data into insights. — Solve complex problems in data quality, retrieval, and transformation. — Shape the technical direction of a rapidly growing startup. Requirements: — Proven track record in building and scaling data infrastructure and data products. — Strong technical skills with high proficiency in Python and SQL. — Hands-on experience with modern, cloud-based data infrastructure (AWS preferred, Azure/GCP also valuable). — Familiarity with data orchestration tools such as Flyte, Airflow, Prefect and infrastructure-as-code tools like Terraform and Kubernetes. — Experience with data processing frameworks including Spark, Snowflake, and Postgres. — Bonus: Experience with entity resolution, unstructured-to-structured data extraction, document retrieval, ranking, or clustering. — Fluency in English. Benefits: — Minimal bureaucracy and no redundant overhead. — AI-first culture with opportunity to build a truly AI-native product. — True autonomy balanced with accountability. — Office in Helsinki city-center with gym access and regular team events. — Equity through option plan. — Work alongside ambitious, low-ego colleagues. — Backed by $12.75M Series A funding and recognized as Finland's AI Startup of the Year 2025. Process: — 30min phone screen with recruiter. — 1h technical interview with dev team members. — 45min coffee chat with founders.