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Tech Stack
Tools & technologiesAWSCloudPythonSQL
About the role
Key responsibilities & impact- 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 requirements 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 requirements, embedding best practices in all solutions.
- Contribute to strategic data platform decisions, including tooling, architecture, and long-term roadmap planning.
Requirements
What you’ll need- Proven experience designing, building and maintaining scalable data pipelines and cloud-based data platforms in production environments.
- Advanced SQL expertise, including query optimisation, performance tuning and complex data transformations.
- Strong Python skills for data engineering, automation and system integrations.
- Hands-on experience with Snowflake (or similar cloud data warehouse), including data modelling, optimisation and security/access controls.
- Strong experience with dbt, including modelling, testing and deployment best practices.
- Solid knowledge of AWS data services and cloud-native architectures (e.g. S3, Lambda, IAM, CloudWatch).
- Experience with modern software engineering practices, including Git, CI/CD and automated testing.
- Strong understanding of data modelling and data warehousing principles.
- Ability to solve complex problems, identify root causes and deliver scalable, reliable solutions.
- Experience leading technical delivery, influencing architectural decisions and collaborating across multiple stakeholders.
- Comfortable working in ambiguity, translating complex business requirements into structured technical solutions.
- Strong communication skills, with the ability to engage both technical and non-technical audiences.
Benefits
Comp & perks- Private healthcare cover
- Employee Assistance Programme, including a virtual GP service, priority physio & talking therapies
- Eyecare scheme
- 25 days annual leave plus the 8 UK bank holidays, increasing with tenure
- 1 paid family/religious day of leave per year - following successful probation period
- 1 paid charity volunteering day per year
- Option to buy/sell up to an additional 3 days leave per year
- Enhanced maternity, paternity or shared parental leave
- 2 days off for your wedding upon joining, and up to 5 days after 2 years' service
- Flexible working options & a hybrid work approach
- Auto-enrolled salary sacrifice pension scheme
- Life assurance
- Season ticket Loans, salary advances & loans to buy/rent a home – based on tenure
- Cycle to work scheme
- Highflyers incentive, a VIP experience for our high performers across Bionic group to celebrate success
- Company summer & Christmas party celebrations, business and local zonely & annual awards and recognition
- Long service awards
ATS Keywords
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Hard Skills & Tools
data pipelinesdata productsAWSSnowflakedbtSQLPythondata modellingCI/CDautomated testing
Soft Skills
problem solvingtechnical leadershipcollaborationcommunicationmentoringinfluencingadaptabilitystakeholder engagementcontinuous improvementengineering excellence