At a Glance
- Tasks: Transform data pipelines and solve complex data challenges in a creative environment.
- Company: Join Future, a forward-thinking company leading in data-driven decision-making.
- Benefits: Enjoy uncapped leave, profit-sharing bonuses, and wellbeing support.
- Other info: Hybrid role with excellent career growth opportunities and a supportive team.
- Why this job: Make a real impact on data processes and enhance business performance.
- Qualifications: Experience with Python, SQL, and data management principles is essential.
The predicted salary is between 45000 - 50000 £ per year.
Are you ready to contribute to the evolution of our data pipelines for our B2B and Go.Compare divisions? At Future, we are transforming our data-driven decision-making processes and we are looking for a passionate and experienced Data Engineer to join us. This is an exciting opportunity for someone who grows in a creative environment and enjoys solving complex data challenges. You'll report into the Lead Data Engineer for this position and sit within the wider Data Engineer team. The Data & Business Intelligence team guides our organisation to become more data-driven. Our to market changes give us a competitive edge. By ensuring visibility of objective performance data, we empower our teams to make rapid, informed decisions that enhance overall performance.
Important Responsibilities
- Maintain new/current features of the data platform.
- Responsible for delivery of development projects.
- Utilise established software engineering practices and principles.
- Take ownership of BAU processes, develop area specific domain mastery.
- Ensure compliance matters are followed.
- Utilise CI/CD and infrastructure as code (Terraform) for rapid deployment of changes.
Experience that will put you ahead of the curve
- Experience using Python on Google Cloud Platform for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure.
- SQL development skills.
- Demonstrated strength in data modelling, ETL development, and data warehousing.
- Knowledge of data management fundamentals and data storage principles.
- Familiarity with statistical models or data mining algorithms and practical experience applying these to business problems.
What's in it for you
The expected range for this role is £45,000 - £50,000. This is a Hybrid role from our Bath Office, working three days from the office, two from home. Plus more great perks, which include:
- Uncapped leave, because we trust you to manage your workload and time.
- When we hit our targets, enjoy a share of our profits with a bonus.
- Refer a friend and get rewarded when they join Future.
- Wellbeing support with access to our Colleague Assistant Programmes.
- Opportunity to purchase shares in Future, with our Share Incentive Plan.
Please let us know if you need any reasonable adjustments made so we can give you the best experience!
Data Engineer in Bath employer: gamigo AG
At Future, we pride ourselves on fostering a creative and collaborative work environment where data-driven decision-making thrives. As a Data Engineer in our Bath office, you'll enjoy the flexibility of a hybrid working model, uncapped leave, and a profit-sharing bonus scheme, all while contributing to innovative projects that shape our B2B and Go.Compare divisions. With ample opportunities for professional growth and a strong commitment to employee wellbeing, Future is an exceptional place to build a rewarding career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Bath
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and Google Cloud Platform. We want to see your problem-solving abilities in action, so make sure to highlight your best work.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. We recommend practising common data engineering questions and scenarios. The more confident you are, the better you’ll perform when it comes to discussing your experience.
✨Tip Number 4
Don’t forget to 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 take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer in Bath
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, Google Cloud Platform, and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our B2B and Go.Compare divisions. Let us know why you're excited about this opportunity at Future.
Showcase Your Problem-Solving Skills:In your application, don’t forget to mention specific examples of complex data challenges you've tackled. We love seeing how you approach problems and what solutions you've implemented in the past.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you into our system quickly. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at gamigo AG
✨Know Your Data Tools
Make sure you brush up on your experience with Python, Google Cloud Platform, and the specific tools mentioned in the job description like BigQuery and DataFlow. Be ready to discuss how you've used these technologies in past projects and how they can be applied to the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data challenges you've faced and how you solved them. This will demonstrate your ability to think critically and creatively, which is key for a Data Engineer. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Understand the Business Impact
Familiarise yourself with how data-driven decision-making impacts business performance. Be ready to discuss how your work as a Data Engineer can empower teams to make informed decisions and enhance overall performance, aligning with the company's goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current projects, and the company’s vision for data management. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
