At a Glance
- Tasks: Lead a team of Data Engineers while actively delivering data solutions.
- Company: Join a market-leading organisation focused on data innovation.
- Benefits: Enjoy a mix of leadership and hands-on work with great career growth.
- Other info: Directly influence strategic decisions and work with senior stakeholders.
- Why this job: Shape the future of data engineering in a fast-paced, tech-driven environment.
- Qualifications: Strong experience in data engineering, SQL, Python, and team leadership.
The predicted salary is between 80000 - 98000 £ per year.
We're partnering with a market-leading, highly regulated organisation to recruit a newly created Lead Data Engineer position. This is a fantastic opportunity for a hands-on data engineering leader to take ownership of a growing data function, leading a team while remaining actively involved in technical delivery.
Acting as the bridge between senior leadership and the data team, you'll be responsible for the data engineering roadmap, platform development, engineering standards, and delivery capability. This is a genuine player-coach role, with a roughly 60/40 split between hands-on engineering and leadership responsibilities.
The Role
- Lead and develop a team of Data Engineers and Data Analysts
- Own the data engineering function, platform roadmap, and delivery priorities
- Design, build, and optimise data pipelines, integrations, and warehouse solutions
- Drive best practice across SQL, Python, data modelling, and engineering standards
- Improve platform reliability, performance, and scalability
- Lead data quality, monitoring, and observability initiatives
- Work closely with senior stakeholders across the business to deliver data-driven outcomes
- Evaluate new tools, technologies, and future platform requirements
Technology
- Microsoft Azure
- SQL
- Python
- Data Warehousing
- Data Integrations & Backend Engineering
About You
- Strong Data Engineering experience with ownership of data platforms or warehouses
- Advanced SQL and Python skills
- Experience working within Azure environments
- Previous team leadership or mentoring experience
- Strong understanding of data architecture, engineering best practices, and data quality
- Comfortable working with legacy source systems and improving data reliability
- Able to communicate effectively with both technical and business stakeholders
Why Apply?
- Newly created role with significant ownership and influence
- Opportunity to shape the future of the data platform and engineering function
- Strong mix of leadership and hands-on technical work
- Direct exposure to senior stakeholders and strategic decision-making
- Fast-paced environment with genuine investment in data and technology
This role would suit a Lead Data Engineer, Principal Data Engineer, or hands-on Data Engineering Manager looking to make a significant impact within a growing organisation.
Lead Data Engineer in Andover employer: Eutopia Solutions
Join a dynamic and innovative organisation that values both leadership and technical expertise in the Lead Data Engineer role. With a strong commitment to employee growth, you will have the opportunity to shape the data engineering function while enjoying a collaborative work culture that encourages creativity and strategic thinking. Located in a fast-paced environment, this position offers direct exposure to senior stakeholders and a genuine investment in cutting-edge technology, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in Andover
✨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 Eutopia Solutions!
✨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 Lead Data Engineer at Eutopia Solutions.
✨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 Eutopia Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at Eutopia Solutions, 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 Lead Data Engineer in Andover
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 Eutopia Solutions, 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 Eutopia Solutions. 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 Eutopia Solutions
✨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 Eutopia Solutions!
✨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.
