
Data Engineer
Posted May 23

Posted May 23
This is a fully remote position, open to applicants in Finland.
• Design and manage hybrid pipelines: Create and sustain high-efficiency Batch and Streaming pipelines.
• Lead the Transformation Layer: Spearhead the use of dbt to convert data stored in GCS into well-organized, documented Gold-layer tables within BigQuery.
• Oversee Platform Orchestration: Administer and expand Airflow in a Dockerized on-premises environment, ensuring smooth connectivity and security between local servers and GCP.
• Facilitate Self-Service & AI: Develop data models tailored for Business Analysts and prepared for future LLM/MCP integration by upholding strict metadata and schema standards.
• In-depth knowledge of BigQuery (SQL, Partitioning, scheduled queries, materialized views) and GCS.
• Proven experience in constructing 'Lambda' or 'Kappa' style architectures where batch and streaming data work in harmony.
• Proficient in Python, SQL, and dbt.
• Strong familiarity with Docker and managing Airflow (including custom providers/operators for cloud integration).
• Solid experience with Terraform (IaC) for provisioning and managing hybrid cloud resources.
• Background in creating stable infrastructures that enable data or BI analysts to develop and train ML models.
• Prior experience as a (Senior) Software Engineer, (Senior) Platform Engineer, or (Senior) Data Engineer.
• Up to six weeks of paid annual vacation.
• A flexible and remote-friendly work culture.
• Occupational healthcare coverage.
• Travel insurance.
• Sports benefits.
• Company-sponsored events and activities.
• Share Appreciation Rights program.
• Access to the Udemy E-learning platform and budget for training; unlimited business access.
• Annual company trip.
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