Data Engineer

This is a fully remote position, open to applicants in Finland.

📋 Description

• 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.

⛳️ Requirements

• 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.

🏝️ Benefits

• 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.