At a Glance
- Tasks: Lead a small team to build and maintain high-performance data pipelines.
- Company: Join a dynamic Data & AI consultancy in Leeds with a focus on impactful solutions.
- Benefits: Competitive salary up to £70,000 plus bonus, hybrid work setup, and career growth.
- Other info: Foster innovation in a collaborative environment while mentoring fellow engineers.
- Why this job: Make a real impact by turning complex data into actionable insights.
- Qualifications: 5+ years in data engineering with strong Python/SQL skills and cloud experience.
Location: Hybrid, nearby to one of their offices in Leeds/Manchester/London
Impactive are excited to be supporting a global consultancy who are looking to hire a Lead Data Engineer to take ownership of their data engineering capability and help shape the future of their enterprise data platform.
This is a genuinely hands‑on leadership opportunity, managing a team of 3-4 Data Engineers while remaining technically involved and making key decisions around architecture, engineering standards and technology.
You’ll be responsible for the evolution of a modern data platform, working across Microsoft Fabric, data pipelines, data modelling, integration, governance and engineering best practice, whilst helping build the foundations for increasingly advanced analytics, AI and digital use cases.
What you'll be doing:
- Lead and mentor a team of 3-4 Data Engineers
- Own the design and evolution of the enterprise data platform
- Make technical decisions around architecture, tooling and engineering approaches
- Oversee data pipelines, transformations and analytical datasets
- Drive modern architecture including Lakehouse, Medallion and Data Product approaches
- Establish strong engineering practices across CI/CD, testing, version control and automation
- Champion data quality, governance, monitoring and platform reliability
- Work closely with BI, Analytics, Architecture and senior business stakeholders
- Help shape the longer‑term data platform roadmap and technology strategy
What they're looking for:
- Strong SQL and Python/PySpark
- Experience with Microsoft Fabric or a similar modern cloud data platform
- Strong data engineering and data architecture experience
- Experience with data modelling, ideally Medallion, Star or Snowflake
- Understanding of CI/CD, testing, version control and automation
- Previous experience leading, mentoring or technically guiding engineers
- Someone comfortable balancing hands‑on technical delivery with strategic ownership
This is a great opportunity for someone who wants to lead from the front technically, rather than move into a purely managerial role, with genuine ownership over the direction of the data platform.
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Lead Data Engineer employer: Impactive IT
Impactive IT offers a dynamic and supportive work environment in the heart of Leeds City Centre, making it an excellent employer for those seeking meaningful part-time roles. With a focus on employee growth and development, you will have the opportunity to enhance your finance skills while contributing to a growing SME. The company values autonomy and accuracy, ensuring that you can thrive in your role as a Finance Lead with the flexibility of working 2-3 days a week.
StudySmarter Expert Advice🤫
We think this is how you could land 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 Impactive IT!
✨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 Impactive IT.
✨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 Impactive IT.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at Impactive IT, 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!
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 Impactive IT, 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 Impactive IT. 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 Impactive IT
✨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 Impactive IT!
✨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.
