At a Glance
- Tasks: Design and maintain data pipelines to drive analytics and business decisions.
- Company: Join Arrive, a forward-thinking company transforming urban mobility.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Make a real impact on communities while working with cutting-edge data technologies.
- Qualifications: 5+ years in BI/Data engineering, strong Python and SQL skills required.
The predicted salary is between 60000 - 75000 £ per year.
We’ve signed up to an ambitious journey. Join us! As Arrive, we guide customers and communities towards brighter futures and more livable cities. Our people and our values help us make it happen. We Arrive Curious, Focused and Together. Our values guide us and help us be at our best for our customers, the cities and communities we serve, and for ourselves. As a global team, we are transforming urban mobility. Let’s grow better, together.
An exciting hybrid working opportunity has arisen for a talented and driven Senior BI Engineer based in our YourParkingSpace business in London (SE1).
The Role
As a Senior 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 have an important role in contributing 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 optimizing 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 role based in London (SE1), 3 days in the office per week, 2 days from home.
Senior BI Engineer in London employer: Parkopedia
At Arrive, we are committed to fostering a dynamic and inclusive work environment where our values of curiosity, focus, and collaboration drive our mission to transform urban mobility. As a Senior BI Engineer in our London (SE1) office, you will benefit from a hybrid working model that promotes work-life balance, alongside opportunities for professional growth and development within a global team dedicated to making a positive impact on communities. Join us to be part of an ambitious journey that not only enhances your career but also contributes to creating more livable cities.
StudySmarter Expert Advice🤫
We think this is how you could land Senior BI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Arrive on LinkedIn or other platforms. Ask them about their experiences and the company culture. This not only gives you insider info but also shows your genuine interest in the role.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you'll be working with data pipelines, make sure you can confidently discuss your experience with Python and SQL. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 3
Showcase your problem-solving skills! Be ready to discuss specific challenges you've faced in previous roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows that you're proactive and genuinely interested in joining our team at Arrive.
We think you need these skills to ace Senior BI Engineer in London
Some tips for your application 🫡
Show Your Curiosity:When writing your application, let your curiosity shine through! Share examples of how you've explored new data technologies or tackled complex problems. We love seeing candidates who are eager to learn and grow with us.
Be Clear and Concise:Keep your application straightforward and to the point. Highlight your relevant experience and skills without fluff. We appreciate clarity, especially when it comes to your technical expertise and how it aligns with our needs.
Tailor Your Application:Make sure to customise your application for the Senior BI Engineer role. Use keywords from the job description and relate your past experiences to the responsibilities listed. This shows us that you understand what we're looking for!
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 makes the process smoother for everyone involved!
How to prepare for a job interview at Parkopedia
✨Know Your Data Inside Out
As a Senior BI Engineer, you'll be expected to have a solid grasp of data pipelines and analytics. Brush up on your Python and SQL skills, and be ready to discuss specific projects where you've built or optimised data pipelines. Prepare examples that showcase your ability to translate complex data into actionable insights.
✨Understand the Business Context
It's crucial to demonstrate how your technical skills align with commercial priorities. Research Arrive's mission and values, and think about how your experience can contribute to their goals. Be prepared to discuss how you've previously partnered with stakeholders to understand their data needs and deliver impactful solutions.
✨Showcase Your Problem-Solving Skills
In this role, you'll need to proactively identify and resolve data issues. Think of specific challenges you've faced in past roles and how you overcame them. Be ready to explain your thought process and the impact of your solutions on the business outcomes.
✨Communicate Clearly and Confidently
Strong communication skills are key for this position. Practice explaining technical concepts in simple terms, as you'll need to convey complex ideas to non-technical stakeholders. During the interview, focus on clarity and confidence to ensure your points resonate well with the interviewers.
