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- Tasks: Design and build data pipelines, maintain data models, and create visualisations for key teams.
- Company: Join One Utility Bill, a fast-growing tech company simplifying household bill management.
- Benefits: Enjoy 25 days holiday, learning budgets, private GP access, and vibrant team socials.
- Why this job: Shape the future of data in a dynamic environment while making a real impact.
- Qualifications: Advanced SQL skills, experience with BigQuery, and proficiency in Python or R required.
- Other info: Applications from under-represented groups are particularly welcomed.
The predicted salary is between 28800 - 48000 £ per year.
Blair West have been retained to support One Utility Bill in a search for a Data Engineer. This fast-growing tech business is transforming the way households manage their bills, bundling them into a single monthly payment for ease and simplicity. As part of their ongoing expansion, this newly created role will sit within the Development team and work closely across the business, including with Growth, Finance, and Operations, to elevate their data capability and self-service insights. Applications from under-represented groups are particularly welcomed.
The opportunity:
- Design, build and own robust data pipelines, ingesting data from production systems and APIs into BigQuery.
- Maintain and evolve the company’s data models to support dashboards, reports, and operational tools.
- Build data visualisations and reports for business-critical teams, including Finance, Growth, and Operations.
- Handle ad hoc data analysis requests and contribute to cross-functional data projects.
- Implement and advocate for best practices in documentation, data governance, and version control.
- Shape the Data function for the business, simplifying complexity, working through ambiguity, and striving for excellence at all times.
- Explore and recommend new tools, technologies, and approaches to enhance the organisation's data capabilities.
- Partner with DevOps and Engineering to ensure the infrastructure is secure, scalable, and reliable.
You’ll be the ideal candidate for this position if you have:
- Advanced SQL skills with strong experience using relational databases.
- Hands-on experience with BigQuery or a similar large-scale analytics platform.
- Proficiency in Python or R, including libraries like Pandas.
- Experience working with BI tools such as Looker, Tableau, Power BI, or Mode.
- Confidence working in Jupyter or similar notebook environments.
- A solid grasp of ETL processes and associated best practices.
- Familiarity with Git, Agile workflows, and DevOps tooling is advantageous.
- Exposure to customer/product analytics (e.g., churn, cohorts, LTV) is a bonus.
- Experience in a data-focused role for 2+ years, ideally within a tech environment.
The benefits included with this opportunity:
- Annual salary uplift in recognition of your contributions.
- 25 days holiday (with the option to buy or sell up to 5 extra days).
- Up to £1,500 annually for learning and development tailored to your career goals.
- Access to Magpie – an employee discount platform.
- Paid volunteering day to support causes close to your heart.
- Private GP and counselling access via Simply Health.
- Corporate travel savings or Cycle to Work scheme for your commute.
- Enhanced pension contributions after 3 years of service.
- Free independent mortgage advice from a trusted provider.
- Vibrant team culture with regular socials, charity events, and more – including paint-and-sip nights, table tennis competitions.
Our commitment
Blair West is an equal-opportunity employer. We embrace diversity and inclusion at every stage of the recruitment process. We are committed to fairness, equality, and ongoing diversity training for our team to give our candidates and clients a feeling of belonging during their experience with us. Please speak to their consultant if you require reasonable adjustments at any stage during their experience with us.
Contact Detail:
Blair West Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with BigQuery and its functionalities. Since this role involves building data pipelines into BigQuery, having hands-on experience or even completing a few projects using this platform can really set you apart from other candidates.
✨Tip Number 2
Brush up on your SQL skills, especially advanced queries. Being able to demonstrate your ability to manipulate and extract data efficiently will be crucial in showcasing your fit for the Data Engineer position.
✨Tip Number 3
Get comfortable with Python or R, particularly with libraries like Pandas. You might want to work on some personal projects or contribute to open-source ones to show your practical experience with these tools.
✨Tip Number 4
Network with professionals in the data engineering field. Attend meetups or webinars related to data analytics and engineering to connect with others and learn about the latest trends and tools that could enhance your application.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced SQL skills, experience with BigQuery, and proficiency in Python or R. Use specific examples from your previous roles to demonstrate your expertise in data engineering.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their mission of transforming household bill management and how you can contribute to their data capabilities.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving data pipelines, visualisations, or analytics, be sure to include them in your application. This will help illustrate your hands-on experience and problem-solving skills.
Highlight Soft Skills: In addition to technical skills, emphasise your ability to work collaboratively across teams, handle ambiguity, and advocate for best practices in data governance. These soft skills are crucial for the role and should be evident in your application.
How to prepare for a job interview at Blair West
✨Showcase Your SQL Skills
As a Data Engineer, advanced SQL skills are crucial. Be prepared to discuss your experience with relational databases and provide examples of complex queries you've written. This will demonstrate your technical proficiency and problem-solving abilities.
✨Familiarise Yourself with BigQuery
Since the role involves working with BigQuery, make sure you understand its features and functionalities. If possible, share specific projects where you've used BigQuery or similar platforms, highlighting how you built data pipelines or managed data models.
✨Prepare for Technical Questions
Expect technical questions related to ETL processes, data governance, and version control. Brush up on best practices in these areas and be ready to discuss how you've implemented them in previous roles. This shows your commitment to quality and excellence.
✨Demonstrate Cross-Functional Collaboration
This role requires working closely with various teams like Finance and Operations. Prepare examples of how you've successfully collaborated with different departments in the past, focusing on how you contributed to data-driven decision-making and insights.
