Data Engineer Manager

Youngs Employment Services; City Of London; Hybrid; GBP 85,000 - 95,000; Full time

Job summary

A recruitment agency is seeking a Data Engineer Manager to lead the development of a new data platform while managing a team of Data Engineers. The role is hybrid, based in London, with a salary range of £85,000 to £95,000, including bonuses and benefits. Ideal candidates will have experience in team leadership, proven success in modern data infrastructure, and proficiency in data engineering tools. This position offers a vibrant and collaborative work environment with excellent career development opportunities.

Benefits

Attractive Bonus & Benefits

Career development opportunities

Qualifications

• Experience leading data or platform teams in a production environment.
• Hands-on knowledge of tools related to data engineering.
• Excellent communication and stakeholder management skills.

Responsibilities

• Define the roadmap for data platform development.
• Design and oversee scalable data pipelines and processes.
• Recruit and mentor a high-performing data organization.

Skills

Team leadership

Data infrastructure management

Stakeholder management

Programming in Python

Cloud-native environments

Tools

Apache Spark

Databricks

Azure Data Factory

Job description

Data Engineer Manager

Hybrid - London with 2/3 days WFH

Circ £85,000 - £95,000 + Attractive Bonus & Benefits

This newly created Data Engineer Managers position is an excellent opportunity for someone that enjoys being hands on technically as well as managing a small team of Data Engineers. It would suit those with official management experience, or potentially a Lead or Senior Engineer used to leading teams and now looking to take on more managerial responsibility. Our client is a well‑established and rapidly growing global business with its headquarters based in London. The Data Engineer Manager will play a pivotal role at the heart of our client's data & analytics operation. Having implemented a new MS Fabric based Data platform, the need is now to scale up and meet the demand to deliver data driven insights and strategies right across the business globally. There’ll be a hands‑on element to the role as you’ll be troubleshooting, doing code reviews, steering the team through deployments and acting as the escalation point for data engineering. This is a hybrid role based in Central / West London with the flexibility to work from home 2 or 3 days per week. Our client can offer an excellent career development opportunity and a work environment that's vibrant, friendly, and collaborative.

Key Responsibilities

• Define and take ownership of the roadmap for the ongoing development and enhancement of the Data Platform.
• Design, implement, and oversee scalable data pipelines and ETL/ELT processes within MS Fabric, leveraging expertise in Azure Data Factory, Databricks, and other Azure services.
• Advocate for engineering best practices and ensure long‑term sustainability of systems.
• Integrate principles of data quality, observability, and governance throughout all processes.
• Participate in recruiting, mentoring, and developing a high‑performing data organization.
• Demonstrate pragmatic leadership by aligning multiple product workstreams to achieve a unified, robust, and trustworthy data platform that supports production services such as dashboards, new product launches, analytics, and data science initiatives.
• Develop and maintain comprehensive data models, data lakes, and data warehouses (e.g., utilizing Azure Synapse).
• Collaborate with data analysts, Analytics Engineers, and various stakeholders to fulfil business requirements.

Key Experience, Skills and Knowledge

• Experience leading data or platform teams in a production environment as a Senior Data Engineer, Tech Lead, Data Engineering Manager etc.
• Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines.
• Hands‑on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar.
• Experience building, defining, and owning data models, data lakes, and data warehouses.
• Programming proficiency in the likes of Python, Pyspark, SQL, Scala or Java.
• Experience operating in a cloud‑native environment such as Azure, AWS, GCP etc (Fabric experience would be beneficial but is not essential).
• Excellent stakeholder management and communication skills.
• A strategic mindset, with a practical approach to delivery and prioritisation.
• Exposure to data science concepts and techniques is highly desirable.
• Strong problem‑solving skills and attention to detail.

Salary is dependent on experience and expected to be in the region of £85,000 - £95,000 + an attractive bonus scheme and benefits package.

For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. YES are operating as both a recruitment Agency and Recruitment Business.