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- Tasks: Design and maintain data pipelines while ensuring data quality and alignment with business goals.
- Company: Progressive data-driven company in Greater London with a focus on innovation.
- Benefits: Flexible hybrid work environment, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on commercial success.
- Why this job: Shape data strategy and make a significant impact in a dynamic team.
- Qualifications: 5+ years in BI/Data engineering with strong Python and SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
A progressive data-driven company in Greater London is seeking a Lead BI Engineer to shape their data strategy. In this hybrid role, you'll design and maintain end-to-end data pipelines while collaborating with stakeholders to ensure data quality and alignment with commercial goals.
The ideal candidate has over 5 years of experience in BI/Data engineering, strong Python and SQL skills, and is commercially minded. This position offers a flexible work environment with three days in the office and two days from home.
Lead BI Engineer: Data Strategy & Pipelines (Hybrid, London) employer: Parking Network BV
Contact Detail:
Parking Network BV Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead BI Engineer: Data Strategy & Pipelines (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the lookout for opportunities. You never know who might have a lead on that perfect Lead BI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects. This will give potential employers a taste of what you can bring to the table, especially when it comes to shaping their data strategy.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you've tackled data quality issues in the past. We want to see how you align data strategies with commercial goals.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead BI Engineer: Data Strategy & Pipelines (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in BI and data engineering. We want to see how your skills in Python and SQL align with the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data strategy and how your commercial mindset can contribute to our goals. Keep it engaging and personal.
Showcase Your Collaboration Skills: Since this role involves working closely with stakeholders, we’d love to see examples of how you’ve successfully collaborated in the past. Highlight any experiences where you ensured data quality and alignment with business objectives.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Parking Network BV
✨Know Your Data Inside Out
Make sure you’re well-versed in data strategies and pipelines. Brush up on your Python and SQL skills, as you’ll likely be asked to demonstrate your technical knowledge. Prepare examples of how you've successfully designed and maintained data pipelines in the past.
✨Understand the Business Goals
Since the role is commercially minded, take time to research the company’s commercial objectives. Think about how your work as a Lead BI Engineer can align with these goals. Be ready to discuss how data quality impacts business decisions and outcomes.
✨Prepare for Stakeholder Collaboration
This position involves working closely with various stakeholders. Prepare to talk about your experience in collaborating with different teams. Have examples ready that showcase your ability to communicate complex data concepts in a way that non-technical stakeholders can understand.
✨Showcase Your Flexibility
With a hybrid work model, it’s important to demonstrate your adaptability. Share experiences where you’ve successfully worked both in-office and remotely. Highlight how you manage your time and maintain productivity in different environments.