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: Generous benefits package, flexible working, and opportunities for personal development.
- Other info: Dynamic work environment focused on wellbeing and career growth.
- Why this job: Shape the future of data engineering while fostering a culture of collaboration and innovation.
- 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.
Key Responsibilities:
- 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.
- Provide thought leadership and expertise in dimensional modelling and data warehousing best practices to ensure efficient data product provisioning.
- Technical leadership for CRUK Data Engineering.
- Develop collaborations and relationships with other CRUK Data & Technology teams, departments, and partners.
- Drive best practice and high-performance software delivery through DataOps principles.
- Establish observability frameworks to ensure data pipeline health and performance.
- Develop and maintain metadata for Data Products and data assets to improve discoverability and governance.
- Lead, mentor, and grow a team of data engineers, fostering a culture of engineering excellence and continuous improvement.
- Promote best practices in software engineering in line with DataOps principles.
Requirements:
- Multiple years of experience in data/analytics engineering, with significant time spent in a leadership/management role.
- Proficiency in Snowflake, dbt, AWS, and Python.
- 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 (Permanent) in London employer: Cancer Research UK
As a Data Engineering Manager at our organisation, you will thrive in a supportive and innovative work culture that prioritises your wellbeing and professional growth. With flexible working arrangements and a commitment to diversity and inclusion, we offer a generous benefits package alongside numerous opportunities for career advancement, ensuring you can achieve both your personal and professional goals while contributing to a data-driven future.
