At a Glance
- Tasks: Lead data strategies and modern cloud platform delivery for PE-backed businesses.
- Company: Join a dynamic PE Fund focused on enhancing data capabilities.
- Benefits: Competitive salary, bonus potential, hybrid work model, and career growth opportunities.
- Other info: Collaborate with CEOs and CTOs in a fast-paced, innovative environment.
- Why this job: Shape the future of data analytics and AI while influencing key business decisions.
- Qualifications: Experience in Data Engineering or Architecture with strong SQL and Python skills.
The predicted salary is between 60000 - 80000 £ per year.
Location: London (Hybrid)
Salary: Up to £120,000 + Bonus
Finatal is exclusively partnering with a PE Fund as they continue to invest heavily in the data capabilities of their portfolio companies. Sitting within the Value Creation team, this role offers the opportunity to combine technical leadership with hands-on delivery across a portfolio of PE-backed businesses. Working directly with CEOs, CFOs, and CTOs, you will help shape data strategies, define target-state architectures, and support the delivery of modern data platforms that enable reporting, forecasting, advanced analytics, data science, AI, and wider business growth. The role is suited to someone from a Data Engineering, Data Platform or Architecture background who enjoys remaining close to technology whilst having greater influence over business and technology decisions. You'll be involved in platform design and development, cloud architecture, and engineering best practices. You'll also support teams across data warehousing, orchestration, CI/CD, governance, and platform modernisation initiatives, helping establish the foundations required for analytics, data science, and AI use cases across a range of PE-backed businesses.
Role:
- Assess data maturity, identify opportunities for improvement, and advise CEOs, CFOs, and CTOs on data, analytics, and AI initiatives that drive measurable commercial outcomes.
- Support the design, build, and optimisation of modern cloud data platforms, data warehouses, and analytics environments.
- Define scalable target-state architectures and provide guidance on data engineering best practices across data modelling, orchestration, governance, quality, testing, and platform design.
- Work with both business and technical stakeholders to shape data platform roadmaps and support the delivery of modern cloud data solutions.
- Help establish the data foundations required to support advanced analytics, data science, AI, and wider business transformation initiatives.
- Work alongside internal teams and third-party partners to deliver platform modernisation and data transformation programmes across multiple businesses.
Requirements:
- Experience within Data Engineering, Data Architecture, Analytics Engineering, Platform Engineering, or a similar environment.
- Strong SQL and working Python skills.
- Experience with modern cloud data platforms across Azure, AWS, or GCP.
- Comfortable engaging with both senior business stakeholders and technical teams.
- Experience working within consulting, professional services, PE-backed, or transformational environments would be advantageous.
Data Engineering Manager in London employer: Finatal
Finatal is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration. With a strong focus on employee growth, you will have the opportunity to lead impactful data initiatives while working closely with senior executives across various portfolio companies. The hybrid work model promotes a healthy work-life balance, and the competitive salary package, including bonuses, reflects our commitment to rewarding talent and expertise.
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We think this is how you could land Data Engineering Manager in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Engineering Manager 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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Finatal. 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 Finatal
✨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!
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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 Finatal!
✨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.
