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Senior Data Engineer
Bio*** · London, ENG, United Kingdom
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London, ENG, United KingdomHybrid
Remuneration
Not specified
Location
London, ENG, United Kingdom
Visa sponsorship
Sponsors visa
Job summary
At Bionic, we’re on a mission to make it radically easier to run a small business. As the UK’s leading business comparison and switching service, we help thousands of small and medium-sized businesses save time and money on essentials like energy, broadband, insurance, and finance.
Benefits
We know that our employees are what sets us aside from our competitors; ourAre just part of the way we say thanks.Enhance your health & wellbeingPrivate healthcare coverEmployee Assistance Programme, including a virtual GP service, priority physio &Eyecare schemeTaking time away from work ️25 days annual leave plus the 8 UK bank holidays, increasing with tenure1 paid family/religious day of leave per year - following successful probation p1 paid charity volunteering day per yearOption to buy/sell up to an additional 3 days leave per yearFamily matters: for the special moments
Qualifications
- and translate them into scalable technical solutions.
- Drive continuous improvement of data engineering practices, including CI/CD, observability, testing frameworks, and documentation standards.
- Provide technical leadership through mentoring, code reviews, and guidance to junior team members, fostering engineering excellence.
- Ensure compliance with security, governance, and data privacy
- embedding best practices in all solutions.
- Contribute to strategic data platform decisions, including tooling, architecture, and long-term roadmap planning.
- Essential
- into structured technical solutions.
- Strong communication
Responsibilities
- As a Senior Data Engineer you’ll be responsible for designing, building, and scaling robust, high-quality data platforms that underpin critical business reporting and operational decision-making.
- You will drive the development of data pipelines, models, and architecture across our modern data stack (AWS, Snowflake, dbt) ensuring performance, reliability, and scalability.
- Working closely with Architecture, Data Analytics, and Salesforce teams, you will drive the evolution of our data platform, guide best practices, and play a key role in modernising legacy processes.
- You will act as a technical leader within the team, shaping design decisions, mentoring engineers, and ensuring delivery of resilient, well-governed data products.
- Design, build and optimise scalable data pipelines and data products across AWS, Snowflake and dbt, setting engineering standards and best practices.
- Lead the development of robust, testable dbt models and frameworks to ensure high data quality, consistency, and maintainability.
- Own data pipeline reliability, proactively monitoring, troubleshooting, and resolving complex data and performance issues with minimal disruption.
- Architect and evolve analytics-ready data models (e.g., star schemas, data marts), balancing performance, flexibility, and usability.
- Collaborate with senior stakeholders (Analytics, Salesforce, Architecture) to define
Skills
CommunicationLeadershipSalesforce
Degrees
Associate
Industry
AutomotiveBankingEnergyHealthcareInsuranceLogisticsMedia
Company size
Smb
Contract length
2 years