Posted on: 29/06/2026
ABOUT THE ROLE :
We are looking for experienced Data Engineers to join a high-impact engagement building an AI-driven data platform from scratch. You will design accelerators, define self-service frameworks for a growing user base, and own end-to-end pipeline delivery from enterprise source systems. Requirements will evolve and you are expected to drive clarity, not wait for it.
WHAT YOU WILL DO :
- Design and build reusable data engineering accelerators and self-service frameworks on Databricks
- Build end-to-end pipelines ingesting from enterprise systems including Bullhorn, Beeline, and SAP Fieldglass
- Lead Unity Catalog adoption data discovery, lineage, access control, and sharing standards
- Build API/MCP integrations enabling programmatic access to the data platform
- Develop dbt models and semantic layer components for commercial and operational reporting
- Embed AI tooling into development workflows and data pipeline design
TECHNICAL REQUIREMENTS :
1. Databricks :
- Production experience with Spark, Delta Lake, Workflows, DLT, and Repos
- Unity Catalog implementation and governance
- Performance tuning : partitioning, Z-ordering, caching, cluster configuration, AQE
2. Python & SQL :
- Strong Python : OOP, testing (pytest), modular design, packaging
- Advanced SQL : window functions, CTEs, query optimisation at scale
- PySpark : DataFrame API, UDFs, Structured Streaming
3. Data Modelling & dbt :
- dbt Core or Cloud : models, macros, testing, documentation, semantic layer
- Medallion architecture (bronze/silver/gold) and lake house design principles
4. Cloud & Infrastructure :
- Hands-on with AWS, Azure, or GCP - IAM, storage, secrets management, networking
- CI/CD pipelines with Git-based workflows (GitHub Actions, Azure DevOps, or equivalent)
5. Data Security :
- Row/column-level security, dynamic data masking, audit logging
- Secrets and credential management in cloud-native environments
6. AI & Emerging Tooling :
- Practical experience with LLM APIs, prompt engineering, or AI-assisted development
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1649573