At a Glance
- Tasks: Design and build scalable data pipelines and enhance Power BI capabilities.
- Company: Flannery Plant Hire, a leading plant hire service provider in the UK.
- Benefits: Competitive salary, 24 days leave, training, and a supportive team environment.
- Other info: Dynamic role with opportunities for professional growth and modern equipment.
- Why this job: Join us to make a real impact on data solutions and sustainability.
- Qualifications: 5+ years as a data engineer with strong SQL and programming skills.
The predicted salary is between 43200 - 72000 £ per year.
Flannery Plant Hire is one of the UK’s leading providers of operated and self‑drive plant hire services, supporting major infrastructure and construction projects nationwide. We’re investing in data to improve operational efficiency, sustainability, and customer experience.
The Opportunity
We’re looking for a Senior Data Engineer who pairs solid engineering fundamentals with an analytical mindset. You’ll build reliable data foundations, enable high‑quality reporting and self‑serve analytics, and help us take our Power BI capability to the next level. We care more about attitude, work ethic, and proven delivery than formal qualifications.
What you’ll do
- Design, build, and maintain scalable data pipelines and ELT/ETL processes across telematics, ERP, IoT, CRM, and finance systems.
- Model and deliver robust data products (lakehouse/warehouse, marts, semantic models) that power BI, analytics, and data science.
- Lead our use of Microsoft Fabric for ingestion, transformation, and analytics, including Lakehouse, Warehouse, Pipelines, Notebooks, Dataflows Gen2, and OneLake.
- Build and optimise Power BI datasets and semantic models (including Direct Lake and incremental refresh) in partnership with analysts.
- Implement data governance, quality, lineage, and security‑by‑design; drive documentation, testing, and version control standards.
- Tune performance across SQL, storage, and BI layers; manage cost and reliability in the cloud (Azure preferred).
- Enable streaming and near‑real‑time use cases where needed (e.g., telematics/IoT) using appropriate services.
- Champion modern DataOps practices (CI/CD, environment management, automation) and mentor junior team members.
- Collaborate closely with stakeholders to translate business needs into well‑designed data solutions and clear metrics.
What you’ll bring (essential)
- Proven experience (5+ years) as a data engineer delivering production‑grade data solutions.
- Strong SQL and proficiency in at least one programming language (Python preferred; Scala/Java also valuable).
- Hands‑on experience building and operating ETL/ELT pipelines and data models (Kimball, Data Vault, or similar).
- Cloud data experience (Azure preferred), including storage, compute, and security fundamentals.
- Practical Power BI experience as a data engineer: shaping data models, optimising for performance, and collaborating with analysts.
- Solid grasp of data governance, privacy, and security best practices; comfortable with Git and documentation.
- Bias to action, ownership, and continuous improvement; capable of balancing speed with quality.
Nice to have
- Microsoft Fabric: creating and managing a Fabric Warehouse or Lakehouse (and underlying “database” objects), building Pipelines/Notebooks, using OneLake, and enabling Direct Lake for Power BI.
- Experience with telematics, IoT, logistics, or construction data.
- Streaming platforms and APIs (e.g., Kafka, Event Hubs) and batch orchestration.
- DataOps/CI‑CD for data (Azure DevOps/GitHub Actions), dbt, unit/integration testing for data.
- DAX fundamentals and Power BI performance tuning at scale.
- Formal qualifications or certifications (e.g., Azure DP‑203, Microsoft Fabric Analytics Engineer) are welcome but not required.
What success looks like in 6–12 months
- Reliable, well‑documented pipelines feeding a governed lakehouse/warehouse.
- Faster, more trusted Power BI reporting backed by high‑quality semantic models.
- Clear data standards adopted across the team, with CI/CD and automated testing in place.
- Demonstrable cost, performance, and data quality improvements on key domains (e.g., telematics, operations, finance).
- Competitive salary and package.
- 24 days plus bank holiday annual leave, plus personal leave.
- Training and professional development tailored to you.
- Employee Assistance Programme.
- Strong safety and sustainability culture.
- Modern equipment and supportive, team‑oriented environment.
If you’re a hands‑on engineer who loves building practical, scalable data solutions and wants to grow an organisation’s Power BI and Microsoft Fabric capability, we’d like to hear from you.
Location: London, England, United Kingdom
Senior Data Engineer in Wembley employer: Flannery Plant Hire
Flannery Plant Hire is an exceptional employer, offering a dynamic work environment in Wembley where your recruitment skills can truly shine. With a commitment to employee growth, competitive salaries, and generous leave, we foster a supportive culture that values proactive problem-solving and effective communication. Join us to be part of a team that not only meets operational needs but also invests in your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Wembley
✨Tip Number 1
Network like a pro! Reach out to current employees at Flannery Plant Hire 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 case study that highlights your experience with data pipelines and Power BI. Bring it along to interviews to demonstrate your hands-on expertise.
✨Tip Number 3
Be ready to discuss your approach to problem-solving. Flannery values attitude and work ethic, so share examples of how you've tackled challenges in past projects.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team.
We think you need these skills to ace Senior Data Engineer in Wembley
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with data pipelines, Power BI, and any relevant cloud technologies like Azure.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how your background aligns with our mission at Flannery Plant Hire. Be genuine and let your personality shine through!
Showcase Your Projects:If you've worked on any interesting data projects, don’t hesitate to mention them! We love seeing real-world applications of your skills, especially if they involve ETL processes or Power BI.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Flannery Plant Hire
✨Know Your Data Fundamentals
Brush up on your data engineering fundamentals, especially around ETL/ELT processes and data modelling. Be ready to discuss your experience with SQL and any programming languages you've used, particularly Python, as this will show your technical prowess.
✨Showcase Your Power BI Skills
Prepare to talk about your hands-on experience with Power BI. Bring examples of how you've optimised datasets and collaborated with analysts to create impactful reports. If you can demonstrate your understanding of semantic models and performance tuning, you'll definitely stand out.
✨Emphasise Your Problem-Solving Mindset
Flannery Plant Hire values attitude and work ethic, so be sure to highlight your bias towards action and continuous improvement. Share specific examples where you've tackled challenges in data governance or quality, and how you’ve implemented solutions that made a difference.
✨Be Ready for Technical Questions
Expect some technical questions related to Microsoft Fabric and cloud data experience, especially with Azure. Familiarise yourself with the latest features and best practices, and be prepared to discuss how you've applied these in real-world scenarios.
