At a Glance
- Tasks: Lead the development of a cutting-edge Azure data platform and mentor a team of Data Engineers.
- Company: Established tech company focused on innovative data solutions.
- Benefits: Competitive salary, hybrid work, 30 days holiday, and private medical cover.
- Other info: Opportunity for ongoing learning and career growth in a supportive culture.
- Why this job: Make a real impact by shaping the future of data engineering in a dynamic environment.
- Qualifications: Experience in leading teams, strong Python and SQL skills, and knowledge of Azure platforms.
The predicted salary is between 80000 - 85000 £ per year.
- Lead Data Engineer
- Hampshire | Hybrid (1-2 days per week onsite)
I'm working with a well-established, technology-led UK business that's investing heavily in its data platform and analytics capability.
This isn't a role where you'll spend your time moving data around low-code tooling or simply maintaining existing pipelines.
They're looking for someone who enjoys building robust engineering solutions, improving platforms and setting the technical direction for how data is delivered across the business.
You'll join at a key stage of their data journey, taking ownership of an Azure-based data platform that's becoming increasingly central to business decision-making.
The environment is engineering-led, allowing you to remain hands-on while leading technical standards and mentoring/ managing a small team of Data Engineers.
As Lead Data Engineer, you'll be responsible for
- Owning the technical direction of the data platform
- Designing and building scalable data pipelines using Python and SQL
- Leading engineering standards, code quality and best practice
- Mentoring and developing Data Engineers
- Working closely with stakeholders across technology and the wider business
- Driving improvements around performance, reliability, monitoring and data quality
- Helping shape the future roadmap of the platform as the business continues to invest
Tech Environment
- Azure
- Python
- SQL Server
- Azure Data Services
- Data Warehousing
- Data Engineering & ETL
- Workflow orchestration (Airflow, Luigi or similar)
You'll probably be someone who
- Has experience leading or mentoring Data Engineers
- Still enjoys writing code and solving engineering problems
- Has strong Python and SQL experience
- Understands modern Azure data platforms
- Can balance technical leadership with hands-on delivery
- Enjoys improving engineering practices rather than simply maintaining existing solutions
This would suit a Lead Data Engineer looking for more ownership and influence over the technical direction of a growing platform.
Package
- £80,000 - £85,000
- Hybrid working (typically 1-2 days onsite, with flexibility for the right person)
- 30 days holiday plus bank holidays
- Private medical cover
- Pension
- Life assurance
- Ongoing learning & development
- Additional employee benefits
If you're interested in building a modern data platform, leading from the front and making a genuine impact, I'd love to hear from you.
Apply now or get in touch for a confidential conversation.
Lead Data Engineer in Southampton employer: Hiiya
Hiiya is an exceptional employer that fosters a dynamic and innovative work culture, offering the opportunity to lead a talented engineering team in the vibrant cities of Cardiff and West Yorkshire. With a hybrid working model that requires only 2-3 office visits per month, employees enjoy a flexible work-life balance while contributing to the strategic growth of a high-tech company. Hiiya prioritises employee development, providing ample opportunities for professional growth and the chance to make a significant impact in shaping the future of engineering practices.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in Southampton
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We think you need these skills to ace Lead Data Engineer in Southampton
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 Hiiya. 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!
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✨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
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✨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.
