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About the Role
As a Senior Analytics Engineer, you will play a critical role in shaping and driving the data strategy that powers our analytics, products, and commercial decision-making. You will own data pipelines end to end, from ingesting raw data to delivering high-quality, analytics-ready datasets, and contribute to the data roadmap by partnering with stakeholders to understand needs and prioritize work.
Responsibilities
- 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 levels of data trust and uptime.
- Implement analytics engineering best practices, including testing, documentation, version control and observability.
- Continuously improve data architecture, modelling and workflows to support growing data volumes and evolving business needs.
- Partner with commercial, product and operational stakeholders to understand their data needs and translate business questions into well-scoped analytics engineering solutions.
- Help shape and prioritise the analytics engineering backlog, balancing technical improvements with high-impact business requirements.
- Define and communicate the data scope for new initiatives, providing clear assessments of feasibility, effort and expected value.
Requirements
- 5+ years' experience in Analytics Engineering, BI Engineering or Data Engineering, with experience operating at Senior or Lead level.
- Strong SQL and Python skills, including hands-on experience building and optimising production ELT/ETL pipelines and complex data transformations.
- Experience designing, building and maintaining end-to-end data pipelines using modern data stack technologies.
- Strong understanding of data modelling and analytics-ready datasets, with a focus on data quality, reliability and scalability.
- Experience partnering with commercial, product or operational stakeholders, translating business requirements into effective data solutions and helping prioritise work based on business value.
- Strong communication skills, with the ability to take ownership, influence priorities and explain technical concepts and trade-offs to both technical and non-technical stakeholders.
Skills
- SQL
- Python
- ELT/ETL pipeline development
- Data transformation
- Data modelling
- Analytics-ready datasets
- Data quality
- Data reliability
- Scalability
- Communication
- Ownership
- Prioritization
- Technical concept explanation
Location
- London (SE1)
Work Type
- Hybrid
Experience Level
- Senior
- Lead
About the Company
- Arrive, including brands like EasyPark, Flowbird, RingGo, ParkMobile and Parkopedia, is a leading global mobility platform.
- Present in over 90 countries and 20,000 cities, the company helps people and decision-makers make smarter decisions about urban mobility and ease the experience of travel worldwide.
- Arrive delivers a unique combination of the core ingredients to make cities more livable: from smart payments and optimized car parks to data-driven traffic reduction and support for reinvestment in public transport and green space.
- It’s about more than function, it’s about saving time and simplifying the experience of travel for everyone.
- Travel is more than a journey, it’s how you Arrive.