At a Glance
- Tasks: Lead a global data engineering team to deliver high-quality, scalable data solutions.
- Company: Join a global organisation investing in Data & AI capabilities.
- Benefits: Salary up to £110,000, performance bonuses, and enhanced pension schemes.
- Other info: Enjoy hybrid working in central London with a focus on career development.
- Why this job: Shape the future of data engineering while fostering a collaborative culture.
- Qualifications: Proven leadership experience in data engineering and strong communication skills.
The predicted salary is between 110000 - 110000 £ per year.
We are recruiting a Senior Data Engineering Manager to join a global organisation delivering large-scale, high-profile projects, currently investing heavily in its Data & AI capabilities. This is a key leadership role within a growing global function, responsible for guiding engineering teams and vendor partners to deliver high-quality, scalable data solutions. This is a hands‑off leadership position, focused on people management, delivery assurance, governance and capability building rather than day‑to‑day technical contribution. You will play a pivotal role in creating the conditions for predictable delivery, strong engineering standards and long‑term operational success across a modern Microsoft data ecosystem.
Responsibilities
- Lead a globally distributed data engineering team ensuring alignment, performance and clear direction
- Own engineering delivery, quality standards and sprint discipline across multiple squads
- Work closely with IT, product and transformation teams to align priorities and unblock delivery
- Develop and coach engineering leaders, strengthening internal capability and leadership maturity
- Oversee vendor and offshore teams, ensuring quality, value and alignment to best practice
- Drive continuous improvement across tooling, processes and engineering practices
- Champion a collaborative, data-driven culture across the organisation
Skills and Experience
- Proven experience in a senior leadership role (e.g., Data Engineering Manager / Head of Data Engineering / Engineering Lead)
- Experience managing multi-disciplinary engineering teams and team leads
- Strong background delivering data solutions across Azure, Databricks, Microsoft Fabric and Power Platform
- Experience working within multi-vendor or offshore delivery models
- Excellent communication and senior stakeholder management skills
What's on Offer
- Salary up to £110,000
- Performance‑related bonus plans
- Enhanced company pension schemes
- Hybrid working in central London, 3 days in office
- Strong focus on career development and progression
Senior Data Engineering Manager employer: Nigel Frank
Join a forward-thinking global organisation that prioritises innovation and excellence in its Data & AI capabilities. As a Senior Data Engineering Manager, you will thrive in a collaborative work culture that champions professional growth, offering robust career development opportunities and a competitive salary package. With hybrid working arrangements in the heart of London, you will lead a talented team while enjoying a supportive environment that values your leadership and fosters continuous improvement.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 Nigel Frank!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineering Manager at Nigel Frank.
✨Leverage Professional Networks
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 Nigel Frank.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineering Manager at Nigel Frank, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior 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!
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 Nigel Frank, 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 Nigel Frank. 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 Nigel Frank
✨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 Nigel Frank!
✨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.
