Data Engineer
London Area, United Kingdom Contract Posted 5 hours ago
Your responsibilities:
- Significant hands-on experience in data engineering, analytics engineering, or related disciplines delivering enterprise data solutions
- Strong proficiency in Databricks/Snowflake, Redshift, SQL, including building, optimizing, and troubleshooting ETL pipelines
- Experience designing scalable, maintainable data architectures and dimensional models for reg reporting, and analytical use cases
- Proven ability to partner with business stakeholders to gather requirements, shape solutions, and communicate effectively
- Strong understanding of data engineering best practices including version control, testing, documentation, and governance
- Experience with Git/GitHub for collaborative development, code reviews, and release management
- Exposure to metadata-driven or configuration-based approaches such as YAML-based metric standardization
- Demonstrated people leadership, including coaching and developing junior engineers
- Strong organizational, problem-solving, and communication skills, with the ability to balance technical delivery and apply AI-enhanced practices to improve productivity
Essential skills/knowledge/experience:
- AWS Databricks
- Pyspark
- Python
- SQL
- YAML
- Redshift
Required Skills
Strong proficiency in Databricks/Snowflake, Redshift, SQL, including building, optimizing, and troubleshooting ETL pipelines
Preferred Skills
Experience designing scalable, maintainable data architectures and dimensional models for reg reporting, and analytical use cases
