At a Glance
- Tasks: Design and build a cloud-based data warehouse and develop scalable data pipelines.
- Company: Join a growing organisation in the construction industry focused on enhancing its data platform.
- Benefits: Salary range of £70,000–£80,000 with hybrid working options.
- Other info: Typically requires 1 day per week in the office, more during major projects.
- Why this job: Be a key player in shaping a new data platform during an exciting growth phase.
- Qualifications: Strong experience in data engineering and hands-on experience with Google Cloud Platform (GCP).
The predicted salary is between 70000 - 80000 £ per year.
We’re working with a growing organisation within the construction industry that’s investing heavily in its data platform and looking to hire a Senior Data Engineer. This role will play a key part in building a greenfield data warehouse, helping the business bring together data from newly acquired companies and integrating multiple systems into a scalable data platform. You’ll be joining at an exciting stage where data engineering is central to enabling better insights and decision-making across the organisation.
The Role
- Design and build a new cloud-based data warehouse
- Develop scalable data pipelines and data models
- Integrate data from newly acquired businesses and systems
- Work closely with analytics and business teams to enable data-driven decision making
- Support the evolution of the organisation’s modern data platform
What They’re Looking For
- Strong experience in data engineering
- Strong hands-on experience with Google Cloud Platform (GCP)
- Experience building and developing modern data warehouses
- Strong understanding of data integration and pipeline development
- Experience working with complex data environments and system integrations
- Ability to operate within a growing business undergoing significant change and acquisition activity
Details
- Salary: £70,000–£80,000
- Location: North West or Yorkshire
- Hybrid working: Typically 1 day per week in the office (more during major projects)
- Interview process: 3 stages - Introductory chat, Technical interview, Final meeting with senior leadership
This is a fantastic opportunity to join a business investing heavily in its data capabilities, where you'll play a key role in shaping a new data platform and integrating data across a growing group of businesses.
Senior Data Engineer – £70,000–£80,000 – Hybrid (North West / Yorkshire) employer: Vaerdi Recruitment Limited
This organisation is heavily investing in its data capabilities within the construction sector, located in North West or Yorkshire. You'll work closely with analytics teams to drive data-driven decision-making across a growing group of businesses.
Contact Details:
Vaerdi Recruitment Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer – £70,000–£80,000 – Hybrid (North West / Yorkshire)
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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!
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How to prepare for a job interview at Vaerdi Recruitment Limited
✨Brush Up on Your Statistics
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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!
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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.
