Data Engineer - Manager at PwC
Birmingham - Chamberlain Square, United Kingdom, United Kingdom
Posted
on-site · full_time · Visa sponsorship
Responsibilities:
- Lead and develop one or more data engineering teams to design, build and operate scalable data platforms and pipelines.
- Provide technical direction on data architecture, modelling, ETL/ELT, orchestration and observability to meet business and AI/BI needs.
- Contribute hands‑on to solution delivery: code reviews, troubleshooting, API design (e.g., FastAPI) and performance optimisation.
- Drive adoption of modern engineering practices, tooling and CI/CD; mentor engineers and build capability across the organisation.
- Engage stakeholders to translate business requirements into prioritised deliverables and ensure high quality releases.
Requirements:
- Minimum ~4 years hands-on data engineering experience (managerial experience expected at this level) with proven leadership.
- Strong object‑oriented Python skills and experience with Apache Spark for large-scale data processing.
- Experience with cloud data platforms and tooling (Databricks, Microsoft Fabric, Azure Data Factory) and major clouds (Azure/AWS/GCP).
- Familiarity with API development (FastAPI), ML frameworks (PyTorch/TensorFlow) where relevant, and modern coding/AI productivity tools (GitHub Copilot, Cursor).
- Strong knowledge of data modelling, data architecture, orchestration, testing, observability and Agile/SDLC delivery practices.