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For Companies At a Glance
- Tasks: Lead the design and maintenance of data pipelines that drive analytics and business decisions.
- Company: Join a dynamic team at YourParkingSpace in London, embracing hybrid work culture.
- Benefits: Enjoy a competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by shaping data strategies that influence key business outcomes.
- Qualifications: 5+ years in BI/Data engineering with strong Python and SQL skills.
The predicted salary is between 70000 - 90000 ÂŁ per year.
An exciting hybrid working opportunity has arisen for a talented and driven Lead BI Engineer based in our YourParkingSpace business in London (SE1).
The Role
As a Lead BI Engineer, you'll play a critical role in shaping and driving the data strategy that powers our analytics, products, and commercial decision‑making. Beyond building and maintaining robust data infrastructure, you will act as the bridge between technical delivery and business outcomes, ensuring that our data capabilities are aligned with commercial priorities and that stakeholders across the business can confidently rely on data to inform their decisions. This is a hands‑on lead level role where you’ll own data pipelines end to end, from ingesting raw data from multiple sources to transforming and delivering high‑quality, analytics‑ready datasets. You’ll also contribute to the data roadmap, working closely with business stakeholders to understand their needs, prioritise work that drives the most value, and communicate progress and trade‑offs clearly.
How to make an impact
- Design, build, and maintain end‑to‑end data pipelines, including ingestion, transformation, and delivery of data to analytics and reporting layers.
- Own and improve existing data pipelines, ensuring high reliability, performance, and scalability.
- Set up new pipelines for internal and external data sources, selecting appropriate tools and patterns.
- Monitor data quality, accuracy, and pipeline health, proactively identifying and resolving issues to ensure high data trust and uptime.
- Implement best practices for BI engineering, including testing, documentation, version control, and observability.
- Continuously improve data architecture and workflows to support growing data volumes and evolving business needs.
- Partner with commercial, product, and operational stakeholders to understand their data needs, translating business questions into well‑scoped BI engineering work.
- Help shape and prioritise the BI engineering backlog, balancing technical improvements with high‑impact business requests.
- Define and communicate the data scope for new initiatives, providing clear assessments of feasibility, effort, and expected value.
Your background
- 5+ years’ experience in a BI/Data engineering role, with at least 2 years operating in a lead or senior capacity where you influenced priorities beyond your immediate team.
- Strong Python skills, with experience building ELT/ETL pipelines.
- Strong SQL skills, with experience building and optimising complex transformations.
- Experience developing data pipelines using modern data stack tools (e.g. ELT/ETL frameworks, cloud data warehouses, orchestration tools).
- A degree in Computer Science, Engineering, Mathematics, Statistics, Economics or another quantitative field (or equivalent work experience).
- Solid understanding of data modelling concepts and analytics‑ready schemas.
- Demonstrated experience managing relationships with business stakeholders, including scoping data requirements, setting expectations, and delivering against commercial priorities.
- Commercially minded: you understand how data supports revenue, operations, and strategic goals, and you use that understanding to guide where you invest your effort.
- Strong communication skills, with the ability to explain technical concepts and trade‑offs to non‑technical audiences.
This role is a hybrid role based in London (SE1), with three days in the office per week and two days from home.
Lead BI Engineer (Hybrid, London, UK) 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 (Hybrid, London, UK)
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio or GitHub repository with examples of your work, especially those data pipelines you've built. This gives potential employers a tangible sense of what you can do.
✨Ace the Interview
Prepare for interviews by practising common BI engineering questions and scenarios. Be ready to discuss how you've tackled challenges in the past and how your skills align with the company's needs. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at YourParkingSpace.
We think you need these skills to ace Lead BI Engineer (Hybrid, London, UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead BI Engineer role. Highlight your experience with data pipelines, Python, and SQL, and don’t forget to mention any leadership roles you've had!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re the perfect fit for this role. Share specific examples of how you've influenced data strategies or improved data infrastructure in previous positions.
Showcase Your Technical Skills: We want to see your technical prowess! Include details about the tools and frameworks you’ve used for building ELT/ETL pipelines and any relevant projects that demonstrate your capabilities.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at StudySmarter.
How to prepare for a job interview at Parking Network BV
✨Know Your Data Inside Out
As a Lead BI Engineer, you'll need to demonstrate your expertise in data pipelines and analytics. Brush up on your knowledge of ELT/ETL processes, SQL, and Python. Be ready to discuss specific projects where you've built or optimised data pipelines, and how those experiences align with the company's needs.
✨Understand the Business Context
It's crucial to show that you grasp how data impacts commercial decisions. Research YourParkingSpace and think about how your role can drive value for them. Prepare examples of how you've translated business questions into actionable data solutions in the past.
✨Communicate Clearly and Confidently
You'll be acting as a bridge between technical and non-technical stakeholders, so practice explaining complex concepts in simple terms. During the interview, focus on your ability to convey technical trade-offs and project updates clearly, ensuring everyone is on the same page.
✨Showcase Your Leadership Skills
Since this is a lead role, be prepared to discuss your experience in guiding teams and influencing priorities. Share examples of how you've managed relationships with stakeholders, prioritised work, and balanced technical improvements with business requests to achieve successful outcomes.