Delivery Manager - Data Engineering
Delivery Manager If your skills, experience, and qualifications match those in this job overview, do not delay your application.
- Data Engineering Manchester (Hybrid) We're working with a leading global investment firm looking to hire a Delivery Manager
- Data Engineering to lead a team of Data, DataOps and MLOps engineers. This is a great opportunity to take ownership of end-to-end data delivery, working on large-scale data platforms, ETL/ELT pipelines, and cloud-based solutions (AWS) supporting analytics, AI and business intelligence. What you'll be doing: Leading a team of Data Engineers and driving delivery across multiple projects. Building and scaling data pipelines using Python/PySpark. Owning data platform delivery, quality and governance. Collaborating with stakeholders across engineering, analytics and business teams. xkybehq What we're looking for: Strong people leadership experience (5 team size) Solid Data Engineering / DataOps background Experience with AWS, Python/PySpark, ETL/ELT pipelines Strong understanding of data platforms (Data Lake / Lakehouse / EDW) Hybrid working (3 days in office) strong bonus and benefits package.
- Data Engineering Manchester (Hybrid) We're working with a leading global investment firm looking to hire a Delivery Manager
- Data Engineering to lead a team of Data, DataOps and MLOps engineers. This is a great opportunity to take ownership of end-to-end data delivery, working on large-scale data platforms, ETL/ELT pipelines, and cloud-based solutions (AWS) supporting analytics, AI and business intelligence. What you'll be doing: Leading a team of Data Engineers and driving delivery across multiple projects. Building and scaling data pipelines using Python/PySpark. Owning data platform delivery, quality and governance. Collaborating with stakeholders across engineering, analytics and business teams. xkybehq What we're looking for: Strong people leadership experience (5 team size) Solid Data Engineering / DataOps background Experience with AWS, Python/PySpark, ETL/ELT pipelines Strong understanding of data platforms (Data Lake / Lakehouse / EDW) Hybrid working (3 days in office) strong bonus and benefits package.