Salary: £85,000 - 95,000 per year Requirements:
* 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 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
* Strong problem-solving skills and attention to detail.
* Exposure to data science concepts and techniques is highly desirable
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.
Technologies:
* AWS
* Azure
* Cloud
* Databricks
* ETL
* Fabric
* GCP
* Java
* Kafka
* Python
* PySpark
* SQL
* Scala
* Spark
* dbt
More:
We are a well-established and rapidly growing global business with our headquarters based in London. Our newly created Data Engineer Manager position offers an excellent opportunity for those who enjoy hands-on technology while managing a small team of Data Engineers. This hybrid role allows flexibility to work from home 2 or 3 days a week, providing a vibrant, friendly, and collaborative work environment. We offer competitive salaries ranging from £85,000 to £95,000, alongside an attractive bonus and benefits package.
last updated 51 week of 2025