Senior Data Analytics Engineer
London, England, United Kingdom
GBP 70K-80K (estimate) Senior-level Full Time
Tasks
- Build and optimize data transformations
- Communicate data solutions to non-technical audiences
- Communicate progress blockers and delivery risks
- Design and maintain business data ontology
- Design ingestion pipelines across data sources
- Ensure curated data meets reporting requirements
- Evolve semantic models with reporting teams
- Facilitate requirements gathering workshops
- Identify skills gaps and support team growth
- Implement automated data testing and observability
- Implement metadata driven engineering practices
- Maintain deployment templates and workflows
- Mentor engineers on engineering standards
- Model fact and dimension schemas for data marts
- Onboard new data sources
- Participate in release hardening
- Perform code reviews and lead by example
- Produce documentation and status updates
- Represent data engineering in cross-functional forums
- Run sprint planning standups retrospectives and technical design discussions
- Set engineering standards code quality and delivery practices
- Support CI CD delivery across environments
- Support troubleshooting of orchestration runs
- Translate business problems into technical requirements
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure DevOps | Business ontology | CI/CD | Data Contracts | Data Factory | Data Lineage | Data Marts | Data Quality | Data Testing | Data Warehousing | Databricks | Delta Lake | Dimension modeling | Fact-Dimension Modeling | Fact/Dimension | Git | Metadata Driven | Metadata-driven Orchestration | Microsoft Fabric | Observability | Power BI | PySpark | Python | SQL | Schema evolution | Semantic Modeling | Slowly Changing Dimensions | Spark SQL | T-SQL
Education
N/A
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