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EasyPark

Senior BI Engineer

London
Posted about 2 months ago
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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

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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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.

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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.

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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.

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Skills

Python
SQL
Data Engineering
ETL
ELT
Data Pipelines
Data Quality
Data Architecture
Business Intelligence
Stakeholder Management
Data Modelling
Analytics
Communication
Cloud Data Warehouses
Orchestration Tools

Location

London, England, United Kingdom

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