Role: Data Engineering Manager in PwC's Data & AI capability. You will lead one or more data engineering teams to design and deliver advanced data solutions for PwC and its clients across industries such as healthcare and financial services. You will balance hands-on technical delivery with team leadership, setting direction for robust, modern data engineering practices. The role is based in the United Kingdom with a hybrid work arrangement, and opportunities to work from Birmingham or Manchester offices.

What you'll do: - Lead and develop data engineering teams, fostering a collaborative, high-performing environment focused on reliable and scalable data solutions. - Provide technical direction for the design, build and support of data pipelines, data platforms and analytics infrastructure, ensuring alignment with organizational goals and best practices. - Contribute hands-on to solution design, development and troubleshooting, including code reviews and resolving complex technical issues. - Drive the adoption of modern techniques, tools and patterns; support the professional growth of your teams and the wider Data & AI capability. - Engage stakeholders across business and technology to understand requirements, set priorities and deliver impactful data solutions. - Ensure quality by overseeing development, deployment and validation of data solutions with high standards of accuracy, reliability and performance.

Role: Data Engineering Manager in PwC's Data & AI capability. You will lead one or more data engineering teams to design and deliver advanced data solutions for PwC and its clients across industries such as healthcare and financial services. You will balance hands-on technical delivery with team leadership, setting direction for robust, modern data engineering practices. The role is based in the United Kingdom with a hybrid work arrangement, and opportunities to work from Birmingham or Manchester offices.

What you'll do: - Lead and develop data engineering teams, fostering a collaborative, high-performing environment focused on reliable and scalable data solutions. - Provide technical direction for the design, build and support of data pipelines, data platforms and analytics infrastructure, ensuring alignment with organizational goals and best practices. - Contribute hands-on to solution design, development and troubleshooting, including code reviews and resolving complex technical issues. - Drive the adoption of modern techniques, tools and patterns; support the professional growth of your teams and the wider Data & AI capability. - Engage stakeholders across business and technology to understand requirements, set priorities and deliver impactful data solutions. - Ensure quality by overseeing development, deployment and validation of data solutions with high standards of accuracy, reliability and performance.