At a Glance
- Tasks: Lead the development of a cutting-edge data platform and shape data strategy.
- Company: Join a leading international data organisation with a focus on innovation.
- Benefits: Competitive salary up to £150,000, hybrid work, and leadership opportunities.
- Other info: Central London location with excellent career growth potential.
- Why this job: Make a significant impact on data architecture and AI capabilities.
- Qualifications: 12+ years in data engineering with strong leadership and technical skills.
The predicted salary is between 72000 - 88000 £ per year.
Ashdown Group is partnering with a leading international data organisation to appoint a Director of Data Engineering to shape and lead its next phase of data platform development.
This is a high-impact senior leadership opportunity for an established Head of Data, Director of Data Engineering or senior data engineering leader who combines strategic vision with genuine technical depth.
You will own the organisation's data architecture, engineering strategy and data platform, ensuring it provides a trusted, scalable foundation for customer-facing products, analytics, forecasting and emerging AI/ML capabilities.
Key responsibilities Define and own the enterprise data architecture and technical roadmap Lead the development of a scalable modern cloud data platform Own data modelling, architecture, governance, quality and operational resilience Build data foundations capable of supporting AI, ML, vector search and advanced analytics Establish strong Data Ops, CI/CD, observability and data quality practices Lead and develop a high-performing data engineering function Partner with Product, Engineering, Data Science and senior leadership to turn data into commercial value Own budgets, vendors and cloud cost optimisation What we're looking for You'll have 12+ years' data engineering experience, including substantial leadership experience, and a proven track record of designing and operating enterprise-scale data platforms.
Strong experience across cloud data architecture, Snowflake/Databricks/Big Query, SQL, Python, data modelling and modern data engineering practices is essential.
Experience across AI/ML, knowledge graphs, unstructured data, Saa S or customer-facing data products would be highly advantageous.
This is an excellent opportunity to take ownership of a strategically important data function and play a key role in shaping the organisation's future data and AI capabilities.
Central London | Hybrid | Up to 150,000
Manager of Data Engineering in London employer: Ashdown Group
Join a well-established global business in Surbiton, where you will thrive in a dynamic work culture that values innovation and collaboration. With hybrid working options, fully subsidised dining and fitness facilities, and ample opportunities for professional growth, this role as an IT Project Manager offers a rewarding environment for those looking to make a meaningful impact in the digital landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Manager of Data Engineering in London
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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 Ashdown Group.
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We think you need these skills to ace Manager of Data Engineering in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ashdown Group, 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 Ashdown Group. 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 Ashdown Group
✨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 Ashdown Group!
✨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.