Your responsibilities

Build and maintain data pipelines

• Design, develop and maintain reliable ETL/ELT pipelines.
• Integrate data from transactional systems, APIs and external sources.
• Improve the reliability, freshness and performance of our data flows.
• Contribute to the evolution of our analytical data platform.

Structure and model data

• Transform raw data into clean, reusable and well-documented datasets.
• Design appropriate analytical data models.
• Support historical and time-based analysis.
• Help establish consistent definitions for key business entities and metrics.

Improve data quality

• Implement data-quality checks and monitoring.
• Investigate inconsistencies and data issues.
• Document transformations, lineage and business rules.
• Contribute to data governance and data catalogue initiatives.

Support analytics and products

• Work closely with Product, Sales and other business teams to understand their data needs.
• Make data easily accessible for reporting, analysis and operational decision-making.
• Support the development of data-driven product capabilities.
• Help ensure that business metrics are reliable and consistently understood.

Prepare our data for AI

AI is becoming an increasingly important part of our technology landscape.

You will contribute to making trusted company data usable by AI-enabled applications and internal tools while ensuring appropriate quality, governance and security.

Apply strong engineering practices

• We expect data engineering to follow the same quality principles as software engineering: version control; testing; code reviews; monitoring and observability; automated deployments where appropriate; documentation; maintainable and reproducible solutions.