At a Glance
- Tasks: Design and maintain ETL workflows for seamless data integration.
- Company: Leading transport service provider with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on BI adoption.
- Why this job: Join a dynamic team and make an impact in the world of data analytics.
- Qualifications: Experience with AWS, SQL, and proficiency in Python required.
The predicted salary is between 50000 - 65000 € per year.
A leading transport service provider is seeking a BI Engineer to join their BI Product Team on a full-time basis. The role offers a hybrid work model with a base in either Sunderland or London.
You will design and maintain ETL workflows, ensuring data quality and performance. Key qualifications include experience with AWS and SQL, along with proficiency in Python.
Responsibilities involve collaborating cross-functionally to ensure seamless data integration and BI adoption.
BI Data Engineer — Pipelines & Self-Serve Analytics in London employer: Arriva Plc
As a leading transport service provider, we pride ourselves on fostering a dynamic work culture that values innovation and collaboration. Our hybrid work model allows for flexibility, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills in a supportive environment. Join us in Sunderland or London, where you can make a meaningful impact in the world of data engineering and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land BI Data Engineer — Pipelines & Self-Serve Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in the BI and data engineering space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL workflows or any cool projects you've done with AWS, SQL, or Python. It’s a great way to stand out!
✨Tip Number 3
Prepare for those interviews! Brush up on common BI scenarios and be ready to discuss how you’ve tackled data quality issues in the past. We want to see your problem-solving skills in action!
✨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 are proactive!
We think you need these skills to ace BI Data Engineer — Pipelines & Self-Serve Analytics in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS, SQL, and Python. We want to see how your skills align with the BI Data Engineer role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our BI Product Team. We love seeing genuine enthusiasm and a bit of personality!
Showcase Your Collaboration Skills:Since this role involves working cross-functionally, highlight any past experiences where you’ve successfully collaborated with others. We’re looking for team players who can help us ensure seamless data integration.
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. Plus, it’s super easy!
How to prepare for a job interview at Arriva Plc
✨Know Your Tech Inside Out
Make sure you brush up on your AWS, SQL, and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Business Context
Research the transport service provider and their BI Product Team. Knowing their business model and how data plays a role in their operations will help you tailor your answers and show that you're genuinely interested in the role.
✨Prepare for Collaboration Questions
Since the role involves cross-functional collaboration, think of examples where you've worked with different teams. Be ready to explain how you ensured seamless data integration and promoted BI adoption in those scenarios.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you approach designing and maintaining ETL workflows. Think of specific instances where you improved data quality or performance, and be ready to share your thought process during the interview.
