Data & Analytics Engineer
Summary
Senior consultant role blending data engineering, analytics engineering, and data stewardship, placed with a global retail enterprise via YoungCapital NEXT. Day to day: build SQL/Python/dbt pipelines, automate data quality tests and monitoring, and maintain governance, metadata, and cataloguing for customer data products.
We are seeking a Senior Consultant at the intersection of Data Engineering, Analytics Engineering, and Data Stewardship for a leading global retail enterprise. In this role, you will play a central part in building and scaling Customer Domain Data Products across the international organization. You will help build robust data pipelines, establish automated data quality standards, implement governance and metadata frameworks, and ensure customer data across the company is reliable, well-documented, and readily discoverable. While the ideal candidate brings a blend of data engineering and data stewardship, applications are also very welcome from strong specialists in one area who have solid fundamentals in the other.
Scope & Key Responsibilities
- Pipeline Development & Maintenance: Build, optimize, and maintain scalable ingestion and transformation pipelines using SQL, Python, and dbt, while supporting ad-hoc analytics needs.
- Data Quality & Reliability: Define and maintain data quality rules, automated tests, and monitoring dashboards (e.g., using dbt / Elementary). Lead root-cause analyses for data anomalies and follow up on corrective actions.
- Data Stewardship & Governance: Maintain business definitions, harmonization rules, metadata, and cataloguing across datasets. Review data models, data contracts, and schema mappings to ensure alignment with governance standards.
- Stakeholder Enablement & Reporting: Translate business requirements into trusted data products; present product metrics, data quality health, and governance insights to both technical and non-technical stakeholders.
- Cross-Functional Collaboration: Partner closely with data engineers, data stewards, software engineering, and product owners to improve end-to-end data usability and reliability.