At a Glance
- Tasks: Lead the design and optimisation of scalable data pipelines using Microsoft Fabric.
- Company: Join a forward-thinking tech company focused on data transformation.
- Benefits: Competitive salary up to £75k, hybrid working, and opportunities for professional growth.
- Other info: Dynamic role with potential for leadership and mentoring in a collaborative environment.
- Why this job: Make a real impact by modernising data platforms and enhancing data quality.
- Qualifications: Strong SQL skills and experience with Microsoft Fabric and data engineering principles.
The predicted salary is between 63000 - 77000 £ per year.
A Lead Data Engineer is required for a transformational role. With Fabric already in place, the focus is now on maturing the data architectural environment from Bronze through to Gold over the next 12-18 months, improving architecture, data quality, and overall platform capability.
This is a hands-on leadership role, acting as the senior technical escalation point while helping shape best practice, refine existing pipelines, and drive data modernisation across a complex data landscape. This is more of a Technical Leadership than people Leadership role, though the director would be happy for someone inclined towards both or that wants to add on the people in time.
Key Responsibilities
- Design, build and optimise scalable data pipelines within Microsoft Fabric (Lakehouse, Data Engineering, Data Warehouse, Data Integration)
- Refine and enhance existing pipelines and architecture to align with best practice
- Lead the transition of the platform from Bronze to Gold standard
- Develop and fine-tune complex SQL queries, transformations, and data models
- Support and troubleshoot data issues impacting reporting (e.g. Power BI refresh failures)
- Take ownership of data quality, governance, and platform reliability
- Act as the technical escalation point for a team of Data Engineers
- Lead, mentor, and support a small team (3 engineers) - negotiable if you'd prefer to remain technically oriented.
- Work across multiple data sources (enterprise systems and bespoke applications) feeding into a Lakehouse
- Engage stakeholders across the business to improve data quality and consistency
Required Experience
- Strong hands-on SQL expertise, including performance tuning
- Proven experience with Microsoft Fabric and Synapse (design, architecture, implementation)
- Experience working with Lakehouse architecture and multiple data sources
- Demonstrable experience modernising data platforms (e.g. Bronze to Gold maturity) or consolidating data into a central platform
- Strong understanding of data engineering principles, governance, and data quality
- Experience delivering and supporting production-grade data solutions
- Ability to act as a senior technical escalation point and lead delivery
- Strong stakeholder engagement skills, particularly around data quality challenges
- Microsoft certifications (e.g. DP-600, DP-900)
Desirable Skills
- Experience managing or mentoring engineers (or readiness to step into leadership)
- Exposure to DevOps / CI-CD practices within data engineering
- Experience in complex or enterprise environments
Interviews are planned for Aug / Sep. Please apply today for an immediate CV review.
Kinetech is acting as a recruiter in relation to this hire. Please see our website for details on how we handle your data.
Lead Data Engineer in Stratford-upon-Avon employer: Kinetech Recruitment
Join a dynamic and forward-thinking accountancy practice in Milton Keynes, where innovation meets collaboration. We offer a supportive work culture that values flexibility, allowing for hybrid working arrangements and open discussions about hours to suit your lifestyle. With a focus on employee growth, you will have access to continuous professional development opportunities, making this 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 Stratford-upon-Avon
✨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 Kinetech Recruitment!
✨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 Kinetech Recruitment.
✨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 Kinetech Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at Kinetech Recruitment, 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 Stratford-upon-Avon
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 Kinetech Recruitment, 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 Kinetech Recruitment. 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 Kinetech Recruitment
✨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 Kinetech Recruitment!
✨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.
