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- Tasks: Design and maintain data systems while delivering impactful business intelligence solutions.
- Company: Leading mobility solutions provider in the UK with a focus on innovation.
- Benefits: Enjoy a hybrid work model for better work-life balance and competitive perks.
- Why this job: Join a dynamic team driving data-driven decisions and shaping the future of mobility.
- Qualifications: Expertise in data warehousing, ETL processes, SQL, and Power BI required.
- Other info: Collaborate across teams in an Agile environment with great career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading mobility solutions provider in the UK is looking for a Data Engineer to design and maintain data systems, deliver business intelligence solutions, and drive a culture of data-driven decision making. This role requires expertise in building data warehouses, ETL processes, and strong skills in SQL and Power BI.
The candidate will support teams in creating reportable data and must be adept at collaborating across multiple teams within an Agile framework. A hybrid work model is offered, enhancing work-life balance.
Hybrid Data Engineer — Data Warehouse in Bristol employer: Motability Operations Limited
Contact Detail:
Motability Operations Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineer — Data Warehouse in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving data warehouses and ETL processes. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on SQL and Power BI. Practice common interview questions related to data engineering and be ready to discuss how you've collaborated in Agile teams.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Hybrid Data Engineer — Data Warehouse in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data warehouses, ETL processes, and SQL. We want to see how your skills align with the 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 passionate about data engineering and how you can contribute to our culture of data-driven decision making. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since this role involves working across multiple teams, make sure to mention any experience you have in collaborative environments, especially within Agile frameworks. We love seeing how you’ve worked with others to achieve common goals!
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 – just follow the prompts!
How to prepare for a job interview at Motability Operations Limited
✨Know Your Data Warehousing Basics
Make sure you brush up on your data warehousing concepts. Be ready to discuss your experience with ETL processes and how you've designed data systems in the past. This will show that you understand the core responsibilities of the role.
✨Show Off Your SQL Skills
Prepare to demonstrate your SQL expertise during the interview. You might be asked to solve a problem or write a query on the spot, so practice common SQL scenarios beforehand. This will help you stand out as a strong candidate.
✨Familiarise Yourself with Power BI
Since the role involves delivering business intelligence solutions, make sure you're comfortable discussing Power BI. Bring examples of reports or dashboards you've created, and be ready to explain how they helped drive data-driven decisions.
✨Emphasise Collaboration in Agile Teams
Highlight your experience working in Agile environments. Be prepared to share examples of how you've collaborated with different teams to create reportable data. This will demonstrate your ability to thrive in a hybrid work model and contribute to a culture of teamwork.
