At a Glance
- Tasks: Lead a talented team to transform data platforms and deliver high-quality data products.
- Company: Join a forward-thinking organisation shaping the future of data engineering.
- Benefits: Flexible work, career progression, ongoing learning, and great perks like retail discounts.
- Other info: Enjoy occasional office days near Bristol and a supportive, values-driven culture.
- Why this job: Make a real impact on innovative data solutions in a collaborative environment.
- Qualifications: Experience in leading Data Engineering teams and delivering modern data products.
The predicted salary is between 63000 - 77000 £ per year.
Are you an experienced Lead/Principal Data Engineer looking for the opportunity to shape the future of a modern data platform?
We're looking for a Data Engineering Manager to lead a talented engineering team through an exciting transformation from a traditional SQL data warehouse to a modern Azure Databricks Lakehouse architecture.
This is a fantastic opportunity to make a real impact, influence technical direction, and help build a data platform that supports innovation across a large, international organisation.
You'll join a growing Technology function and lead a high performing team of Data Engineers, working closely with Product Managers, Architects, Infrastructure, Service teams, and regional data partners to deliver scalable, reliable, and high-quality data products.
This is a strategic leadership role where you'll balance people management, technical guidance, and delivery excellence while helping shape the future of the organisation's data capabilities.
- What You'll Be Doing
- Lead, mentor and develop a high performing Data Engineering team, creating a culture of trust, accountability and continuous improvement.
- Drive the delivery of valuable, high quality data products through iterative, outcome focused delivery.
- Guide technical decision making and support architectural trade offs across the data platform.
- Champion engineering best practices, platform reliability, observability and operational excellence.
- Continuously improve team processes using feedback and metrics to increase quality and delivery speed.
- Partner closely with Product Managers to shape roadmaps, prioritise work and balance short-term delivery with long term platform health.
- Collaborate with senior technology stakeholders to help define the future direction of the organisation's data estate.
What We're Looking For
- Proven experience leading and developing high performing Data Engineering teams.
- Strong background delivering data products within modern data platforms, including SQL Data Warehouses and Azure Databricks Lakehouse.
- Experience managing engineering delivery and driving measurable business outcomes.
- Strong understanding of modern data engineering principles, platform reliability and engineering best practices.
- Excellent communication and stakeholder management skills, with the ability to influence at all levels.
- A collaborative leadership style that combines empathy with high standards.
- A passion for delivering value through continuous improvement and iterative delivery.
What's on Offer?
- Occasional office attendance (approximately 1–2 times per month near Bristol)
- The opportunity to shape a modern enterprise data platform
- Clear career progression opportunities
- Ongoing learning and professional development
- Collaborative, supportive and values-driven culture
- Cycle to Work scheme
- Green Car Salary Sacrifice Scheme
- Flexible voluntary benefits package
- Discounted pet care
- Retail discounts and cashback across hundreds of brands
- #J-18808-Ljbffr
Data Engineering Manager in Bristol employer: Primus Connect
Join a dynamic and innovative company that prioritises collaboration and employee growth, making it an excellent employer for a Data Engineering Manager. With a strong focus on mentorship, you will have the opportunity to lead a growing team while working in a vibrant office environment in central London/Guildford, complete with a free onsite restaurant and gym. This role not only allows you to shape impactful data platforms but also fosters a culture of rapid delivery and teamwork, ensuring your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager in Bristol
✨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 Primus Connect!
✨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 Data Engineering Manager at Primus Connect.
✨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 Primus Connect.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineering Manager at Primus Connect, 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 Data Engineering Manager in Bristol
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 Primus Connect, 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 Primus Connect. 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 Primus Connect
✨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 Primus Connect!
✨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.
