Analytics Engineer – Supply Data Solutions

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

📋 Description

• Assume complete responsibility for supply data, transforming it into dependable, analysis-ready datasets.

• Collaborate with Data Scientists, Analysts, and Supply stakeholders to create a reliable source of truth.

• Recognize overlapping data requirements across forecasts, optimization, and reporting.

• Develop reusable mart tables.

• Streamline data transformations for downstream teams.

• Construct and oversee Python and GCP pipelines.

• Record schemas, lineage, and data contracts.

• Oversee IAM roles, data-access boundaries, cost monitoring, performance tuning, and data validity checks.

• Guide junior analysts and enhance SQL skills within the Supply unit.

⛳️ Requirements

• Minimum of 3 years of professional experience in analytics engineering (or a related field).

• Proficient in advanced SQL, including complex CTEs, window functions, and query optimization.

• Strong proficiency in Python for ETL and orchestration tasks.

• Practical experience with GCP, BigQuery, Git, and CI/CD practices.

• Capability to analyze complex systems and formulate structured improvement plans.

• Proactive management of platform health, monitoring, governance, and reliability.

• Ability to balance long-term system design with immediate business needs.

• Experience collaborating across teams to establish data contracts and align stakeholder interests.

• Familiarity with dbt or Dagster is considered a plus.

• Knowledge of AWS Batch, Lambda, and Step Functions is a plus.

• Understanding of supply chain or logistics domain is advantageous.

• Experience with data cataloging and data observability platforms is a plus.

🏝️ Benefits

• Options for remote work.

• Flat hierarchies and straightforward communication.

• Team lunches.

• Afterwork drinks.

• Company events.

• An inclusive and welcoming work environment.

• Acceptance and inclusion.

• A fairer approach to fashion.