At a Glance
- Tasks: Design and build scalable data solutions using modern technologies for enterprise clients.
- Company: Join Version 1, a leader in Data & AI with a collaborative culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Mentor junior engineers and thrive in a dynamic, innovative environment.
- Why this job: Tackle complex data challenges and make a real impact in the AI space.
- Qualifications: 6-8 years of hands-on data engineering experience and strong Databricks skills.
The predicted salary is between 60000 - 80000 £ per year.
hackajob is collaborating with Version 1 to connect them with exceptional professionals for this role. We are looking for a Senior Data Engineer to join Version 1’s Data & AI Practice, working on modern data platforms for enterprise and regulated clients. You will be a hands‑on engineer with strong production experience, contributing to the design, build, and operation of scalable, cloud‑native data solutions that enable analytics and AI at scale. This is a delivery‑focused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real‑world environments.
What You’ll Be Doing
- Designing, building, and operating reliable data pipelines using modern ETL/ELT approaches
- Engineering cloud‑native data platforms, primarily on AWS (with Azure exposure where required)
- Working with technologies such as Databricks, PostgreSQL, Aurora, and distributed processing frameworks
- Ensuring solutions are production‑ready: secure, tested, observable, and cost‑efficient
- Optimising data performance, reliability, and data quality in live environments
- Collaborating with analysts, data scientists, AI engineers, and platform teams
- Mentoring junior engineers and contributing to shared standards and accelerators
Qualifications What You’ll Bring
- 6-8 years’ experience in hands‑on data engineering roles
- Strong Databricks experience (Data Engineering, Delta Lake, Medallion Architecture)
- Design, build and support scalable data pipelines from enterprise source systems
- Build and maintain data models, mapping tables and curated data products within the ISP data platform
- Implement Master Data Management (MDM), data quality controls, monitoring and remediation workflows
- Develop automated data quality and completeness reporting, including AI-assisted reporting capabilities
- Support the industrialisation of AI-enabled applications, transitioning from file-based solutions to governed Databricks-backed data services
- Experience integrating AI/analytics tools with enterprise data platforms and supporting operationalisation of proof-of-concepts into production solutions
Nice to Have
- Experience enabling ML, AI, or GenAI workloads through strong data foundations
- Exposure to modern BI and analytics tooling
- Experience working in regulated or security‑conscious environments
- Consulting or client‑facing delivery experience
Senior Data Engineer / Lead Data Engineer employer: Version 1
Version 1 is an exceptional employer that prioritises the well-being and professional growth of its employees. With a strong focus on fostering a collaborative work culture, this role offers unique opportunities to engage with leading Private Sector organisations in the UK & Ireland, driving meaningful impact while enjoying competitive salaries, bonuses, and comprehensive benefits. Join us to be part of a dynamic team that values innovation and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer / Lead Data Engineer
✨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 Version 1!
✨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 Engineer / Lead Data Engineer at Version 1.
✨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 Version 1.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer / Lead Data Engineer at Version 1, 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 Engineer / Lead Data Engineer
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 Version 1, 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 Version 1. 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 Version 1
✨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 Version 1!
✨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.
