At a Glance
- Tasks: Lead data engineering projects, optimise data platforms, and mentor a team of engineers.
- Company: Join a forward-thinking organisation committed to innovation and inclusivity.
- Benefits: Flexible remote work, generous benefits, and opportunities for personal and professional growth.
- Other info: Dynamic environment fostering collaboration, innovation, and continuous improvement.
- Why this job: Shape the future of data engineering while working with cutting-edge technologies.
- Qualifications: Proven leadership in data engineering with expertise in Snowflake, AWS, and Python.
The predicted salary is between 60000 - 80000 £ per year.
Contract: Permanent
Hours: Full time 35 hours per week
Office-based with high flexibility (1-2 days per week in the office)
We're looking for an experienced Data Engineering Manager to act as the lead for new data engineering technologies, setting standards, providing technical guidance, and ensuring consistent capability across the organisation, driving the design, scale, and optimisation of our data platform. This role combines hands-on technical leadership across Snowflake, dbt, AWS, and Python with strong people leadership, championing best practices in DataOps, observability, and dimensional modelling.
You'll play a key role in enabling Data Product delivery by building reliable, high-performance data pipelines, enhancing metadata and data catalog capabilities, and embedding AI tools and use cases within the engineering team. Working in an agile environment, you'll foster a culture of innovation, collaboration, and continuous improvement while helping shape our data-driven future.
- Design, develop, and maintain scalable, efficient, and reliable data products using Snowflake, dbt, AWS, Python alongside Data Observability, Data Quality and Data Catalog/Discovery tools.
- Deliver highly governed data pipelines end to end.
- Thought leadership and expert in dimensional modelling and data warehousing best practices to ensure efficient data product provisioning and that data is structured optimally and cost efficiently for analytics, reporting, business intelligence or for other consumer data product use.
- Technical leadership for CRUK Data Engineering.
- Developing collaborations and relationships with other CRUK Data & Technology teams (e.g. Engineering, Architecture, Data Operations and Governance), departments and partners.
- Drive best practice and high-performance software delivery through DataOps principles to automate workflows, improve data quality, and accelerate delivery.
- Establish observability frameworks (monitoring, logging, alerting) to ensure data pipeline health and performance in adherence to Data Product maturity acceptance criteria.
- Develop and maintain metadata for Data Products and data assets to enrich and enable a functioning Data Catalog to improve discoverability, governance, and metadata management for Data Product accessibility.
- Lead, mentor, and grow a team of data engineers, fostering a culture of engineering excellence, collaboration, agile practices and continuous improvement.
- Grow AI skills and adoption within the team pivoting ways of working with agentic AI and skilling Data Engineers to work in the AI age.
- Promote best practices in software engineering (code reviews, testing, CI/CD, documentation) in line with DataOps principles and our aspirations for greater efficiencies through AI adoption.
Multiple years of experience in data / analytics engineering, with at least significant time spent in a leadership/management role.
- Snowflake (data warehousing, performance tuning, cost optimization, Horizon Catalog, Cortex).
- dbt (modular analytics engineering, transformations, testing).
- AWS
- Python proficiency as a data engineer and Orchestration tools (e.g. Data and Dimensional modelling (star schema, Kimball/Inmon methodologies, OBT).
- AI - copilots, agentic AI, MCP Servers.
- Strong understanding of DataOps, CI/CD, git, and data observability.
- Experience with data catalog/discovery tools.
- Familiarity with data governance, security, and compliance (GDPR).
- Proven ability to lead, mentor, and nurture high-performing, inclusive engineering teams.
We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals.
You can explore our benefits by visiting our careers web page. For more information about working with us please visit our website or contact us.
Data Engineering Manager (Remote) in London employer: Cancer Research UK
As a Data Engineering Manager at our organisation, you'll join a forward-thinking team that prioritises innovation and collaboration in a flexible remote work environment. We offer a generous benefits package, extensive career development opportunities, and a commitment to employee wellbeing, ensuring you can thrive both personally and professionally while shaping the future of data engineering. Our culture fosters inclusivity and continuous improvement, making us an exceptional employer for those seeking meaningful and rewarding work.
