At a Glance
- Tasks: Lead a dynamic team to design and maintain innovative data products using cutting-edge technologies.
- Company: Join Cancer Research UK, a leader in health innovation with a commitment to diversity.
- Benefits: Enjoy flexible working, professional development, and a supportive well-being package.
- Other info: Be part of a culture that values inclusivity and continuous improvement.
- Why this job: Make a real impact in healthcare while advancing your career in a collaborative environment.
- Qualifications: Proven leadership in data engineering with hands-on expertise in Snowflake, AWS, and Python.
The predicted salary is between 80000 - 100000 £ per year.
Location: Stratford, London
Salary: £81,000‑£85,000 (+ Benefits)
Hours: 35 hours per week
Full time, office-based with high flexibility (1‑2 days per week in the office).
Responsibilities
- Design, develop and maintain scalable, efficient and reliable data products using Snowflake, dbt, AWS, Python, and associated observability, quality and catalog/discovery tools.
- Deliver highly governed data pipelines end‑to‑end, ensuring performance, cost optimisation and compliance.
- Provide technical leadership for CRUK Data Engineering, including setting standards, governance and driving adoption of best practices.
- Collaborate with other CRUK Data & Technology teams (Engineering, Architecture, Data Operations and Governance) and external partners.
- Drive DataOps principles to automate workflows, improve data quality and accelerate delivery.
- Establish observability frameworks (monitoring, logging, alerting) to maintain pipeline health and meet data product maturity criteria.
- Develop and maintain metadata for data products and assets, enriching and enabling a functional data catalog for improved discoverability and governance.
- Lead, mentor and grow a high‑performing, inclusive data engineering team, fostering a culture of engineering excellence, agile practices and continuous improvement.
- Set technical direction, prioritise delivery and coach team members; champion AI skills and adoption, including agentic AI and copilots.
- Promote best practices in software engineering (code reviews, testing, CI/CD, documentation) to achieve greater efficiencies through AI and DataOps.
Qualifications
- Multiple years of experience in data/analytics engineering with significant time in a leadership/management role.
- Hands‑on expertise with Snowflake (data warehousing, performance tuning, cost optimisation), dbt (modular analytics engineering, transformations, testing), AWS and Python for data engineering.
- Proficiency with orchestration tools such as Airflow.
- Strong knowledge of dimensional modelling (star schema, Kimball/Inmon methodologies) and data warehousing best practices.
- Experience with AI tools (copilots, agentic AI, MCP Servers) and data science tooling.
- Solid understanding of DataOps, CI/CD, git, and data observability.
- Experience with data catalog/discovery tools and governance, security, compliance (GDPR).
- Proven ability to lead, mentor and nurture high‑performing, inclusive engineering teams.
- Excellent communication and stakeholder‑management skills, able to simplify complex technical concepts for non‑technical audiences.
- Problem‑solving mindset focussed on scalability, reliability and efficiency; ability to balance technical depth with business impact.
Benefits
We offer a generous benefits package including flexible working, professional development opportunities, well‑being support and access to high‑quality tools and resources.
Equality, Diversity & Inclusion
We are an equal‑opportunity employer. Cancer Research UK actively encourages applications from people of all backgrounds and cultures, particularly those from ethnic minority groups who are under‑represented.
Data Engineering Manager employer: Cancer Research UK
At Cancer Research UK, we pride ourselves on being an exceptional employer, offering a dynamic work environment in Stratford, London, where innovation meets inclusivity. Our Data Engineering Manager role not only provides competitive salary and benefits but also fosters professional growth through mentorship and collaboration with diverse teams. With a strong commitment to equality, diversity, and continuous improvement, we empower our employees to excel while making a meaningful impact in the fight against cancer.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Cancer Research UK!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Cancer Research UK.
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We think you need these skills to ace Data Engineering Manager
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Cancer Research UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Cancer Research UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Cancer Research UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Cancer Research UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
