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Senior BI Engineer – Join Arrive & Shape Urban Mobility’s Future
As Arrive, we guide customers and communities towards brighter futures and more livable cities. This isn’t a challenge just anyone could take on—but luckily, our people and values make it happen.
At Arrive, we embrace curiosity, focus, and teamwork. Our global team is transforming urban mobility, and we believe in growing better—together.
We’re looking for a talented, driven Senior BI Engineer to take on a hybrid working opportunity at our YourParkingSpace business in London (SE1).
About the Role
As a Senior BI Engineer, you’ll shape and drive the data strategy that powers our analytics, products, and decision-making. This is a hands-on, lead-level role where you’ll bridge technical delivery and business outcomes, ensuring data capabilities align with commercial priorities—so stakeholders can confidently use data for decisions.
You’ll own data pipelines end-to-end, from ingesting raw data to delivering high-quality, analytics-ready datasets. You’ll also collaborate on the data roadmap, understanding business needs, prioritising high-impact work, and communicating outcomes clearly.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Design, build, and maintain end-to-end data pipelines, covering ingestion, transformation, and delivery to analytics/reporting layers.
- Oversee existing pipelines to ensure reliability, performance, and scalability, diagnosing and fixing issues proactively.
- Set up new pipelines for internal/external data sources, selecting the right tools and patterns.
- Monitor data quality, accuracy, and pipeline health, ensuring high trust and uptime.
- Implement best practices in BI engineering, including testing, documentation, version control, and observability.
- Continuously improve data architecture and workflows to support growth and evolving needs.
- Partner with commercial, product, and operational teams to translate business questions into BI solutions.
- Shape and prioritise the BI engineering backlog, balancing technical improvements with business impact.
- Define and communicate the data scope for new projects, assessing feasibility, effort, and expected value.


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What We’re Looking For
- 5+ years’ experience in BI/Data Engineering, including 2+ years in a lead/senior role, influencing priorities beyond your immediate team.
- Strong Python skills, with experience building ELT/ETL pipelines.
- Proficiency in SQL, with experience optimising complex transformations.
- Knowledge of modern data stack tools (ELT/ETL frameworks, cloud data warehouses, orchestration tools).
- A degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent work experience.
- Deep understanding of data modelling and analytics-ready schemas.
- Proven ability to manage business stakeholder relationships, scoping requirements, and delivering commercial value.
- Commercially minded—you understand how data impacts revenue, operations, and strategy.
- Excellent communication skills, able to explain technical concepts to non-technical audiences.
The role is a hybrid opportunity, based in London (SE1) with 3 days in the office, 2 days remote.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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