Data Engineer - Manager

PwC UK; Manchester; On-site; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Private medical cover

Flexible working

Volunteer days

Job summary

PwC UK is seeking a Data Engineering Manager to lead one or more teams in the Data Engineering group, delivering advanced data solutions for clients. You will combine hands-on delivery with leadership, shaping modern data engineering practices across healthcare, financial services and other industries.

You will operate from our Manchester or Birmingham offices, guiding cross-functional delivery and maintaining high data quality and performance.

Qualifications

• Proven experience leading data engineering teams or workstreams.
• Strong Python skills with experience in ML/AI workloads and related tools.
• Experience with Apache Spark for large-scale data processing.
• Experience developing APIs using FastAPI or similar technologies.

Responsibilities

• Lead and develop data engineering teams to build reliable, scalable data solutions.
• Provide technical direction for data pipelines, platforms and analytics infrastructure.
• Contribute hands-on to design, development and troubleshooting, including code reviews.
• Drive adoption of modern techniques, tools and patterns and support team growth.
• Engage stakeholders across business and technology to set priorities and deliver value.
• Ensure quality by overseeing development, deployment and validation of data solutions.

Skills

Python

Leadership

Cross-functional collaboration

SDLC & Agile

Communication

Tools

GitCliff

PyTorch

TensorFlow

Apache Spark

FastAPI

Databricks

Microsoft Fabric

Azure Data Factory

Palantir

Azure

AWS

GCP

GitHub Copilot

Job description

About The Role

you’ll be joining our Data & AI capability as a Manager in the Data Engineering team, leading one or more teams to design and deliver advanced data solutions that address complex challenges for PwC and its clients. Operating at the forefront of data engineering, you’ll support projects across various industries such as healthcare and financial services, shaping and scaling data platforms that underpin analytics, AI and machine learning.

About The Role

you’ll be joining our Data & AI capability as a Manager in the Data Engineering team, leading one or more teams to design and deliver advanced data solutions that address complex challenges for PwC and its clients. Operating at the forefront of data engineering, you’ll support projects across various industries such as healthcare and financial services, shaping and scaling data platforms that underpin analytics, AI and machine learning. You’ll combine hands-on technical delivery with team leadership, setting direction for robust, modern data engineering practices. You’ll work in a cross-functional environment, collaborating across business and technology to deliver tangible value from data. We’re looking for a motivated self-starter, comfortable with ambiguity and experienced in managing cross-functional delivery, with 4+ years of data engineering experience, to join us in either our Manchester or Birmingham offices.

What Your Days Will Look Like

• 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.

This Role Is For You If

• 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 tools such as 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.

What You’ll Receive From Us

No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/6 access to a qualified virtual GP; six volunteering days a year and much more.
We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.