Data Engineer Manager

Data Engineer Manager
Hybrid - London with 2/3 days WFH
Circ £85,000 - £95,000 + Attractive Bonus & Benefits

Hands On Data Engineer Manager required for this exciting newly created position with a prestigious and rapidly expanding business in West London. It would suit someone with official management experience, or potentially a Lead / Senior Engineer looking to take on more managerial responsibility. 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 now is 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, reviewing code, steering the team through deployments and acting as the escalation point for data engineering. Our client can offer an excellent career development opportunity and a vibrant, creative and collaborative work environment. This is a hybrid role based in Central / West London with the flexibility to work from home 2 or 3 days per week.

Key Responsibilities include;
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.
Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines.
Experience building, defining, and owning data models, data lakes, and data warehouses.
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.
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