LEAD ANALYTICS ENGINEER
6-month initial contract | London based but could be fully remote UK |
ASAP Start
We’re looking for a Lead Analytics Engineer to join a major CRM migration programme and help shape the future of a growing modern data function.
This is not a people management role — we need a true technical leader. Someone who can come in, raise engineering standards, implement best practices, and show the existing team what “good” looks like in a modern data environment.
You’ll be joining at a genuinely exciting stage: the business is investing heavily in new technology and modernizing its data platform from the ground up. Rather than inheriting years of technical debt, you’ll have the opportunity to influence architecture, standards, and ways of working from the beginning.
Tech Stack:
- Snowflake
- dbt
- Python
- AWS
- Power BI
Responsibilities:
• Designing, developing, and evolving scalable Data Warehouse and ELT solutions
• Driving modern DataOps practices including CI/CD, GitOps, testing, and automation
• Implementing robust, observable, and high-quality data pipelines
• Leading by example within engineering teams and elevating technical standards
• Supporting the move toward cross-functional product squads
• Working closely with governance and analytics teams to build mature, scalable solutions
What we’re looking for:
• Proven Lead-level Data/Analytics Engineering experience
• Strong expertise with Snowflake, dbt, Python, and AWS
• Deep understanding of software engineering best practices within data environments
• Experience implementing CI/CD pipelines and DataOps principles (GitHub Actions etc.)
• Strong experience with Data Observability and Data Quality frameworks
• Excellent communication skills and the ability to inspire confidence across teams
• Experience working in modern, mature data environments
Nice to Have:
• Exposure to data products
• Experience with data cataloguing/discovery tools
• Strong Agile and continuous improvement mindset
This is an ideal opportunity for someone who enjoys building modern data platforms the right way — influencing engineering culture, tooling, and delivery standards at a critical stage of growth.
If interested, drop me a message or apply directly.