Data Engineering Manager: Lead Scalable Data Platforms & AI

PwC UK

Birmingham

On-site

GBP 90,000 - 140,000

Full time

14 days+

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Job summary

PwC UK is seeking a Manager in the Data Engineering team to lead one or more squads, designing and delivering advanced data solutions for clients across healthcare, financial services and more. You will combine hands-on delivery with strategic leadership to shape modern data platforms underpinning analytics and AI.

You’ll join a cross-functional environment, drive adoption of best practices, and mentor teams while managing cross-functional delivery.

Qualifications

Proven experience leading or managing data engineering teams or workstreams in complex environments.
Strong object-oriented Python skills for developing, testing and packaging code, including experience with GitCliff, and familiarity with frameworks such as PyTorch and TensorFlow where relevant to data and AI workloads.
Experience with Apache Spark for large-scale data processing.
Effective use of coding tools such as Cursor, GitHub Copilot and similar to accelerate high-quality delivery.
Experience developing APIs using FastAPI or similar technologies to expose data and analytics services.
Strong understanding of business intelligence needs and optimising data transformations for AI and BI applications.
Solid understanding of best practices in data engineering architecture, including data modelling, orchestration, testing and observability.
Familiarity with SDLC methodologies such as SAFe, Agile and JadX and experience applying them to data engineering projects.
Experience using repositories and DevOps tooling including GitHub and Azure DevOps.
Hands-on experience with major data engineering tools and platforms such as Databricks, Microsoft Fabric, Azure Data Factory and Palantir.
Experience with at least one major cloud platform (Azure, AWS or GCP), ideally more than one, for data engineering workloads.

Responsibilities

Leading and developing teams of data engineers, creating a collaborative, high-performing environment focused on building reliable and scalable data solutions.
Providing technical direction for the design, build and support of data pipelines, data platforms and analytics infrastructure, ensuring alignment with organisational goals and industry best practices.
Contributing hands-on to solution design, development and troubleshooting, including code reviews and resolution of complex technical issues.
Building data engineering capability by driving adoption of modern techniques, tools and patterns, supporting the professional growth of your teams and the wider Data & AI capability.
Engaging stakeholders across business, technology partners and clients to understand requirements, set priorities and deliver impactful data solutions.
Ensuring quality by overseeing the development, deployment and validation of data solutions, maintaining high standards of accuracy, reliability and performance.