Data Engineer
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Sparta Global are hiring a Data Engineer with 1–2 years’ commercial experience to support delivery within a market-leading media client based in Leeds.
Summary:
Working within the Reporting & Data Enablement team, the Data Engineer designs, builds and operates the reliable data pipelines and curated datasets that underpin reporting and analytics. The role acquires, transforms and validates data from multiple internal and partner sources, ensuring quality, lineage and security so that analysts, report developers and leaders can rely on a single source of truth.
Key Responsibilities:
- Design, build and maintain ingestion and transformation pipelines to create model-ready, governed datasets for reporting and analysis.
- Implement data quality checks (schema validation, reconciliation, anomaly detection) and monitoring/alerting for refresh health and SLA adherence.
- Develop reusable transformation patterns and shared components (e.g., dimension/lookup handling, incremental loads, SCDs) to improve consistency and speed.
- Work with semantic-layer and report developers to separate modelling from presentation and to uphold consistent KPI definitions.
- Follow Dev → Test → Prod workflows using deployment pipelines and version control; publish clear change logs and release notes.
- Optimise pipelines for performance, reliability and cost (partitioning, scheduling, parallelism; efficient storage and compute choices).
- Document lineage, data dictionaries, refresh cadence, ownership and support routes; ensure discoverability via the catalogue.
- Apply data governance and security (e.g., role-based access, PII handling, audit trails) and ensure alignment with organisational policies.
- Collaborate with Technology Data Engineering to ensure platform readiness, access, standards alignment and smooth incident/change handling.
- Contribute to enablement by sharing patterns, writing how-to guides and supporting show-and-tell sessions with analysts and report developers.
Essential Skills & Experience:
- Proven experience in data engineering or analytics engineering (c. 2 years) delivering reliable, governed datasets for BI and analytics.
- Strong SQL and practical experience with a cloud data platform (e.g., AWS/Azure/Fabric or equivalent) and orchestration tooling.
- Hands-on with ELT/ETL patterns, incremental loads, performance tuning and data quality testing.
- Working knowledge of Power BI data model requirements and how pipeline design impacts report performance.
- Evidence of documentation, version control and release/change discipline.
- Clear communication and collaboration with Technology and Insight teams; ability to translate requirements into technical designs.