At a Glance
- Tasks: Support data needs by managing automated pipelines and executing data retrieval tasks.
- Company: Join a leading water utility with a focus on innovation and teamwork.
- Benefits: Enjoy hybrid working, generous leave, pension scheme, and exclusive discounts.
- Other info: Great career growth opportunities and ongoing training available.
- Why this job: Make a real impact in data engineering while developing your skills in a supportive environment.
- Qualifications: Experience with FME, SQL, and Python; familiarity with GIS and SCADA is a plus.
The predicted salary is between 30000 - 40000 € per year.
Location: Exeter. Join the Data and Modelling team to support operational and regulatory data needs across the business.
About the role
This role sits within the Data and Modelling team, supporting operational and regulatory data needs across the business. The team maintains a large estate of automated data pipelines and provides data engineering support to internal teams.
What you'll be doing
- Daily retrieval of data (pressure and flow) via Python scripts from a third party analytics platform.
- Weekly execution of FME alarm pipelines, including outflow volume and service trigger alarms – some of which require manual initiation from SCADA-generated notifications.
- Promptly actioning DMA boundary requests to ensure network definitions remain accurate and up-to-date.
- Weekly defect‑fixing for an operational management application – tackling bugs that affect live operations.
- Early‑stage scoping and development of FME workspaces for an asset data migration project.
- Ongoing data engineering support for IT‑led systems integration programme.
- Data extraction and file management tasks to support the team.
- Ad‑hoc data requests from the business using SQL, SME and Python.
- Ongoing documentation of the FME workspace estate.
What we're looking for
- Solid working knowledge of FME server and FME desktop – able to build, maintain and troubleshoot workspaces independently.
- SQL server skills for ad‑hoc data queries and extracts.
- Python scripting for data retrieval, processing and automation.
- Methodical approach to operational monitoring – comfortable owning a live pipeline estate and responding to failures.
- Ability to read and understand existing code and processes.
- Familiarity with Esri/GIS platforms.
- Familiarity with SCADA or operational telemetry data (desirable).
- Experience working in a water utility or regulated infrastructure environment (desirable).
What's in it for you
- Hybrid working arrangements for flexibility.
- Generous annual leave entitlement, plus Bank Holidays and the ability to buy and sell holiday.
- Competitive company pension scheme.
- Access to thousands of discounts and savings through Pennon Perks.
- Cycle to Work Scheme.
- 24/7 support through the Employee Assistance Programme.
- Ongoing development and training.
The successful candidate will be subject to a mandatory DBS check as part of the onboarding process.
Data Engineer in Exeter employer: Bristol Water plc
As a Data Engineer at our Exeter location, you'll be part of a dynamic Data and Modelling team that values innovation and collaboration. We offer a supportive work culture with hybrid working arrangements, generous annual leave, and a competitive pension scheme, ensuring you have the flexibility and resources to thrive. With ongoing development opportunities and access to employee perks, we are committed to fostering your growth in a meaningful and rewarding environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Exeter
✨Tip Number 1
Network like a pro! Reach out to current employees in the Data and Modelling team on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your Python scripts and SQL queries. This hands-on evidence of your abilities can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data engineering, especially around FME and operational monitoring. Mock interviews with friends can help you nail it.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer in Exeter
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with FME, SQL, and Python, as these are key skills we're looking for. We want to see how your background fits with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our Data and Modelling team. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building automated data pipelines or troubleshooting FME workspaces, we love to see practical examples of your skills in action.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Don’t miss out!
How to prepare for a job interview at Bristol Water plc
✨Know Your Tech
Make sure you brush up on your FME server and desktop skills. Be ready to discuss how you've built, maintained, or troubleshot workspaces in the past. Having specific examples at hand will show that you’re not just familiar with the tools but can use them effectively.
✨Showcase Your Python Skills
Since you'll be using Python for data retrieval and automation, prepare to talk about your experience with scripting. Maybe even bring a small project or code snippet to demonstrate your capabilities. This will help you stand out as someone who can hit the ground running.
✨Understand the Business Context
Familiarise yourself with the operational and regulatory data needs of the business. Knowing how your role as a Data Engineer fits into the bigger picture will impress the interviewers and show that you're genuinely interested in contributing to their goals.
✨Prepare for Problem-Solving Questions
Expect questions that assess your methodical approach to monitoring and troubleshooting live pipelines. Think of scenarios where you’ve had to respond to failures or bugs, and be ready to explain your thought process and the steps you took to resolve issues.
