At a Glance
- Tasks: Lead two teams in data integration and high-volume processing for a cutting-edge SaaS platform.
- Company: Dynamic SaaS company revolutionising the energy retail sector across the UK and Europe.
- Benefits: Up to £110,000 salary, 25% bonus, and fully remote work options.
- Other info: Opportunity to work in a collaborative environment with a focus on continuous improvement.
- Why this job: Play a central role in evolving data functions and drive impactful change.
- Qualifications: Proven leadership in data engineering with hands-on experience in Databricks, Spark, and Python.
The predicted salary is between 63000 - 77000 £ per year.
Our client is a SaaS platform for the energy retail sector, delivering cloud-native billing, customer management, and financial insight to energy suppliers across the UK and Europe. Following a recent acquisition, the business is expanding its AI product roadmap, with data engineering central to that ambition.
The role involves owning two teams totalling around 12-13 people: one focused on new data source integration, governance frameworks, and testing/deployment maturity, and one on high-volume, time-critical processing with daily client-facing deadlines around financial reporting. This is a hands-on technical leadership role, not a pure people-management position. You'll be close enough to the architecture and technical direction to hold a credible conversation with senior engineers, spot why a pipeline isn't working, and guide the team toward a fix, without needing to write the code yourself.
What we're looking for:
- A genuine track record of improving how a team delivers: process maturity, delivery metrics, continuous improvement, not just managing what's already working.
- Specific, evidenced examples of turning around underperforming teams or systems, not general leadership philosophy.
- Deep, hands-on experience with Databricks, Spark, Python, and SQL.
- Comfort with AWS, Azure, or GCP (AWS preferred, others fully considered).
- Experience building or maturing data governance frameworks: access control, retention policies, data quality.
- Proven leadership of teams of 8+, ideally across more than one function.
- A background in regulated or sensitive data environments is a plus.
What's on offer:
- Up to £110,000 base salary.
- Discretionary bonus of up to 25%.
- Fully remote, anywhere in the UK (occasional visits to a local office).
- A genuinely central role in how the business's data function evolves, not a siloed back-office function.
Data Engineering Manager in Bristol employer: Wave Group
Wave Group is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Employees benefit from competitive salaries, flexible hybrid working arrangements, and opportunities for professional growth while contributing to impactful projects that modernize policing through advanced AI solutions.
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We think this is how you could land Data Engineering Manager in Bristol
✨Get Involved in Data Science Meetups
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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 Wave Group, 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 Wave Group. 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 Wave Group
✨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 Wave Group!
✨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.
