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For Companies At a Glance
- Tasks: Build and maintain data pipelines, design scalable ETL solutions, and develop robust data products.
- Company: Leading UK multi-service provider simplifying household bills.
- Benefits: Up to £105k salary, performance bonuses, and remote work flexibility.
- Why this job: Join a mission-driven team and make an impact on modern data platforms.
- Qualifications: Strong SQL skills, experience with ETL/ELT, and proficiency in Python.
- Other info: Remote role with occasional London office visits and great career growth.
The predicted salary is between 105000 - 105000 £ per year.
OB has partnered with a leading UK-based multi-service provider on a mission to simplify everyday essentials by bringing household bills into one place. They’re now looking for a Data Engineer to play a key role in building and scaling their modern data platform.
What You’ll Be Doing
- Build and maintain production-ready data pipelines across the end-to-end lifecycle
- Design and implement scalable ETL/ELT solutions
- Contribute to data modelling and the development of robust data products
What They’re Looking For
- Strong SQL and solid experience with data modelling
- Hands-on experience building ETL/ELT pipelines
- Experience with BigQuery, Snowflake and GCP
- Proficiency in Python
- Familiarity with dbt or Dataform, and modern data stack tooling
- Understanding of engineering best practices (Git, IaC, CI/CD)
Competitive Salary + Performance-based bonus
Remote UK – Occasional London office visits
Data Engineer – Remote | BigQuery, SQL, Python, dbt – Up to £105k in London employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – Remote | BigQuery, SQL, Python, dbt – Up to £105k in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, ETL/ELT solutions, and any projects using BigQuery or Python. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling knowledge. Practice common technical questions and be ready to discuss your experience with tools like dbt and GCP.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you. Plus, it’s a great way to get noticed directly by hiring managers.
We think you need these skills to ace Data Engineer – Remote | BigQuery, SQL, Python, dbt – Up to £105k in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and data modelling. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our mission. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any cool data pipelines or ETL/ELT solutions, make sure to mention them! We’re keen to see real-world examples of your work, especially if they involve BigQuery or dbt.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in BigQuery, SQL, and Python. Brush up on your ETL/ELT pipeline knowledge and be ready to discuss how you've implemented these technologies in past projects. This will show that you can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Use examples that highlight your experience with data modelling and building production-ready data pipelines. This will demonstrate your practical skills and thought process.
✨Familiarise Yourself with dbt and Modern Tools
If you have experience with dbt or Dataform, make sure to highlight it. If not, take some time to learn the basics and understand how they fit into the modern data stack. Being able to speak about these tools will set you apart from other candidates.
✨Understand Engineering Best Practices
Be prepared to discuss your understanding of Git, Infrastructure as Code (IaC), and CI/CD processes. These are crucial for a Data Engineer role, and showing that you adhere to best practices will reflect positively on your candidacy.