Senior Data Engineer
London, England, United Kingdom
Motorway
The more money way to sell your car. 5,000+ dealers compete to give you their best price. It's fast, easy and 100% free.About us:
Motorway is the UK’s fastest-growing used car marketplace – our award-winning, online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal. Founded in 2017, our technology-led approach has redefined the experience of selling a car, generating thousands of monthly car sales and helping us to grow to a team of more than 400 people across our London and Brighton offices.
About the role
Our Data Engineering team is looking for a Senior Data Engineer to join them!
As our new Senior Data Engineer, you'll play a pivotal role in bridging engineering best practices with our data domain.
Our team is committed to transforming data into actionable insights, aiding decision-making processes and enhancing our products. Your expertise will drive advancements in our data engineering practices, leading the development of new data products with a focus on data backends, infrastructure, and DataOps.
If you thrive on enhancing infrastructure scalability, and designing sophisticated data architectures, then this role is perfect for you!
During your first 12 months, you will:
- Build and Launch our new event-driven data operational architecture.
- Successfully enhance the reliability and scalability of the data platform infrastructure.
- Strengthen the data privacy and data retention foundations, ensuring compliance with the latest regulations.
- Achieve measurable improvements in platform cost efficiency and scalability.
What you'll do
Design Data Architecture: Spearhead the development of an event-driven operational data architecture.
Optimise Infrastructure: Ensure the scalability and reliability of our data pipelines and infrastructure. Advance Data Privacy: Strengthen our data privacy and retention frameworks, ensuring compliance and security. Platform Optimisation: Streamline our data platform for enhanced cost efficiency and scalability.
Requirements
We encourage you to apply, even if you don't consider you have all the skills required!
- Proven experience with cloud data infrastructure on GCP or AWS, preferably GCP.
- Expertise in event-driven data integrations and click-stream ingestion.
- Proven ability in stakeholder management and project leadership
- Proficiency in SQL, Python, PySpark
- Solid background in data pipeline orchestration, data access, and retention tooling.
- Demonstrable impact on infrastructure scalability and data privacy initiatives.
- A collaborative spirit, innovative problem-solving skills, and excellent communication abilities.
Benefits
- A competitive salary
- Annual learning budget - with your learning budget, you can pay for learning experiences to support your progression.
- BUPA health insurance
- Discounted dental through BUPA
- Discounted gym membership through BUPA
- OnHand volunteering membership and one paid volunteering day per year
- Hybrid working from home (approximately 1-2 days in the office a week)
- Pension scheme
- Motorway car leasing scheme - lease a zero-emissions electric vehicle at a significant discount
- Enhanced parental leave - We offer enhanced maternity pay (26 weeks of full pay) and enhanced paternity pay (4 weeks of full pay) to eligible employees.
- Workplace nursery scheme
- Top spec MacBook Pro and peripherals
- Regular social events
- Cycle to work scheme
Equal opportunities statement
We are committed to equality of opportunity for all employees. We work to provide a supportive and inclusive environment where people can maximise their full potential. We believe our workforce should reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.
We welcome applications from all individuals regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.
#LI-Hybrid
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS DataOps Data pipelines Engineering GCP Pipelines Privacy PySpark Python Security SQL
Perks/benefits: Career development Competitive pay Fitness / gym Gear Health care Insurance Parental leave Team events
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