Analytics Engineer – Supply Data Solutions

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

📋 Description

• Assume complete responsibility for supply data and transform it into trustworthy, analysis-ready datasets.

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

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

• Develop reusable mart tables.

• Streamline existing transformations to avoid duplicated downstream logic.

• Construct and oversee Python and GCP pipelines.

• Document schemas, data lineage, and contracts.

• Manage IAM roles, data access boundaries, cost oversight, performance optimization, and data validity checks.

• Guide junior analysts and enhance SQL capabilities throughout the Supply team.

⛳️ Requirements

• A minimum of 3 years of experience in analytics engineering (or a related field).

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

• Strong skills in Python for ETL processes and orchestration.

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

• Capability to analyze intricate systems and formulate structured improvement strategies.

• Proactive involvement in maintaining platform health, monitoring, governance, and reliability.

• Ability to balance long-term system architecture with immediate business benefits.

• Proficient in collaborating across teams to establish data contracts and align stakeholders.

• Familiarity with dbt or Dagster is advantageous.

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

• Understanding of supply chain or logistics is a plus.

• Experience with data cataloging and observability platforms is an advantage.

🏝️ Benefits

• Team lunches.

• After-work drinks.

• Company events.

• An inclusive and welcoming work environment.

• Commitment to acceptance, inclusion, and a fairer approach to fashion.