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For Companies At a Glance
- Tasks: Lead the design and maintenance of data pipelines to drive analytics and business decisions.
- Company: YourParkingSpace, a dynamic company in London with a focus on data-driven solutions.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
- Why this job: Make a real impact by shaping data strategies that influence key business outcomes.
- Qualifications: 5+ years in BI/Data engineering, strong Python and SQL skills, and leadership experience.
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'll 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’ve 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 hybrid, based in London (SE1), with 3 days in the office per week and 2 days working from home.
Lead BI Engineer employer: Arrive
Contact Detail:
Arrive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead BI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Lead BI Engineer role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the business side of things. We recommend practising common BI engineering scenarios and being ready to discuss how your experience aligns with the data strategy at YourParkingSpace.
✨Tip Number 3
Showcase your projects! Whether it’s through a portfolio or GitHub, let us see your hands-on experience with data pipelines and analytics. Highlighting your past work can really set you apart from other candidates.
✨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 about their job search!
We think you need these skills to ace Lead BI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead BI Engineer role. Highlight your experience with data pipelines, Python, and SQL, and don’t forget to showcase any leadership roles you've had. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions that drive business value.
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 the role. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Arrive
✨Know Your Data Inside Out
As a Lead BI Engineer, you'll need to demonstrate your deep understanding of data pipelines and analytics. Brush up on your experience with ELT/ETL processes and be ready to discuss specific projects where you've built or optimised data pipelines. This will show that you can not only talk the talk but also walk the walk.
✨Communicate Like a Pro
You'll be acting as a bridge between technical delivery and business outcomes, so practice explaining complex technical concepts in simple terms. Prepare examples of how you've successfully communicated with non-technical stakeholders in the past. This will highlight your ability to align data capabilities with commercial priorities.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss challenges you've faced in previous roles, particularly around data quality and pipeline health. Think of specific instances where you identified issues and implemented solutions. This will demonstrate your proactive approach and ability to maintain high data trust and uptime.
✨Align with Business Needs
Understand the commercial aspects of the role by researching YourParkingSpace and its data strategy. Be ready to discuss how you would prioritise BI engineering work based on business needs. This shows that you're not just technically skilled but also commercially minded, which is crucial for this position.