Data Engineer – fully remote within Europe

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

📋 Description

• Take charge of the operational integrity and reliability of the data platform from start to finish.

• Diagnose and resolve recurring issues within the on-premises Microsoft SQL Server environment.

• Oversee cross-system access through linked servers, OPENQUERY, and PolyBase.

• Detect stale feeds, broken joins, and unnoticed changes in source systems, and facilitate resolution with data owners.

• Maintain Airflow Directed Acyclic Graphs (DAGs) and Python jobs across Windows and Linux virtual machines.

• Manage failed tasks, backfills, and dependencies in data flows.

• Model new source domains within the data warehouse.

• Develop data models enabling analysts to work independently.

• Establish automated data quality checks for freshness, volume, referential integrity, and business rules.

• Optimize SQL queries, stored procedures, indexes, and execution plans.

• Enhance alerting, logging, runbooks, and automation to mitigate recurring incidents.

• Review SQL and pipeline code generated by AI prior to production deployment.

• Create tests that allow the team to work securely with AI-assisted engineering.

• Collaborate with business intelligence, analytics, and data-owning teams throughout the organization.

⛳️ Requirements

• A minimum of 3 years of core data engineering experience in a production setting.

• Proficiency in Microsoft SQL Server, including excellent T-SQL, indexing strategies, execution plans, query tuning, partitioning, linked servers, OPENQUERY, and PolyBase.

• Experience in data modeling with warehouse tables and dimensional models.

• Strong proficiency in Python for pipelines, transformation, and automation tasks.

• Hands-on experience with Airflow in a production environment, including authoring, operating, and debugging DAGs, as well as managing scheduling, retries, backfills, dependencies, and task-failure tracing.

• Practical experience with Claude Code or a similar agentic coding tool, MCP servers, and workflows powered by large language models (LLMs).

• Capability to validate AI-generated SQL and pipeline code by analyzing queries, reviewing execution plans, and ensuring outputs align with source data.

• Familiarity with Git and GitLab, including branching, merge requests, code reviews, and CI/CD pipelines.

• Proficient in debugging on both Windows and Linux virtual machines.

• Basic knowledge of Azure or AWS services.

• Excellent communication skills in English.

• Demonstrated ownership and ability to manage issues from inception to resolution.

• Experience with Microsoft Fabric, Lakehouse or Warehouse, Data Factory pipelines, and OneLake is a plus.

• Knowledge of building MCP servers or internal LLM tooling would be advantageous.

• Familiarity with Power BI or another business intelligence tool would be beneficial.

• Exposure to rapidly growing B2C or subscription-based businesses would be a plus.

🏝️ Benefits

• Enjoy remote-first collaboration with a truly global team.

• Participate in EU meet-ups.

• Join the annual company summer getaway.

• Work in a fully remote company.

• Experience a positive, diverse, and supportive culture.