Senior Data Engineering Lead (Databricks & Azure) in Birmingham

Senior Data Engineering Lead (Databricks & Azure) in Birmingham

Birmingham Full-Time 66150 - 80850 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead data engineering strategy and design scalable solutions using Databricks on Azure.
  • Company: Join KPMG, a leading global professional services firm with a focus on innovation.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic role with a chance to influence enterprise-scale projects.
  • Why this job: Shape the future of data engineering and mentor teams to drive impactful insights.
  • Qualifications: Experience in data engineering, Databricks, and Azure is essential.

The predicted salary is between 66150 - 80850 Β£ per year.

KPMG in the UK seeks a Senior Manager - Principal Data Engineer to shape data engineering strategy across Technology & Solutions.

You will lead enterprise-scale Databricks-based solutions on Azure, drive modern engineering practices, and mentor teams to deliver data-enabled insights across business units.

Key duties include designing scalable data models, governing Delta Lake architectures, and integrating BI tools like Power BI.

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Senior Data Engineering Lead (Databricks & Azure) in Birmingham employer: KPMG Careers

KPMG is an exceptional employer, offering a dynamic work environment where creativity and insight thrive. With a strong focus on employee growth, we provide ample opportunities for professional development and mentorship within our leading Indirect Tax practice. Located across the UK, our collaborative culture fosters innovation and strong client relationships, making KPMG a rewarding place to build a meaningful career in financial services.

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Contact Details:

KPMG Careers Recruitment Team

We think you need these skills to ace Senior Data Engineering Lead (Databricks & Azure) in Birmingham

Python
Data Engineering
Communication Skills
Problem-Solving Skills
SQL
ETL/ELT Processes
Data Quality Assurance