Brickendon Consulting is an award-winning global management and technology consultancy specializing in innovative solutions and transforming complex, highly regulated environments. Founded in 2010, Brickendon has a strong focus on financial services and the public sector, helping organizations navigate and implement significant changes. We have delivered projects for some of the world’s largest firms in financial services, governments, and leading fintechs and startups, including JP Morgan, HSBC, Deutsche Bank and Rolls Royce.
We are currently seeking a Data Engineer for one of our clients.
✅Work location: London
✅Work setting: hybrid
Responsibilities
* Build EDW tables, views, and stored procedures according to physical data model specifications.
* Develop Semantic Layer views, pre-computed aggregations, and Tableau-compatible data structures.
* Write and execute unit tests and integration tests for all Lakehouse components.
* Optimize table partitioning, clustering, and caching configurations for query performance against NFR targets.
* Support knowledge transfer activities: participate in pair-programming sessions with SLC data engineers.
Qualifications
* Minimum 2 years in data engineering, with hands-on experience building data pipelines and data warehouse structures.
* Proficiency in SQL, Python, and Apache Spark / PySpark.
* Experience with Databricks (Delta Lake, notebooks, SQL Warehouses) or equivalent cloud data platform.
* Familiarity with medallion architecture (Bronze / Silver / Gold) and data lake design patterns.
* Experience with version control (Git) and CI/CD pipelines for data engineering workflows.
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