Data Engineer

A growing AI SaaS business, where data sits at the centre of everything they build, is looking for a Senior Data Engineer to take ownership of the pipelines that power their platform.
This is an opportunity to work with real world, complex data and turn it into reliable, decision ready datasets used across product, analytics and machine learning.
Python and SQL sit at the heart of the role.

The Opportunity
·You will design, build and maintain scalable data pipelines that support a fast moving AI platform. You will work closely with product, analytics and machine learning teams to ensure data is accurate, accessible and trusted.
·The business works with large volumes of imperfect and inconsistent data, so you will need to be comfortable handling edge cases, improving data quality and solving complex data challenges.
·The environment is modern and cloud based, with exposure to technologies such as Spark, Snowflake and BigQuery across AWS, GCP and Azure.
·You will also have the opportunity to support and mentor other engineers through collaboration, code reviews and sharing best practice.
·The team is supportive, highly collaborative and values different perspectives.
·Engineers are given the space to contribute ideas, challenge thinking and have a genuine impact on the direction of the platform., ·Design, build and maintain scalable data pipelines
·Own data pipelines from source through to production
·Work with messy, incomplete and complex datasets to create clean, reliable outputs
·Improve data quality, performance and reliability as the platform scales
·Collaborate closely with product, analytics and machine learning teams
·Contribute to code reviews, engineering standards and best practice
·Support and mentor other engineers within the team

·Strong Python and SQL expertise gained within large scale production environments
·Experience delivering complex data transformation projects end to end
·Experience with Spark, Snowflake, BigQuery or similar technologies
·Exposure to cloud environments such as AWS, GCP or Azure
·Comfortable working with large, messy and evolving datasets
·Experience taking ownership of pipelines and data engineering solutions from design through to deployment
·A collaborative approach with experience mentoring or supporting other engineers

If you enjoy building the data foundations behind AI products and want to join a business where you can have real impact, this could be an excellent fit.
To find out more, please get in touch.

Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity.

Datatech is one of the UK's leading recruitment agencies specialising in Data, Analytics, AI and Technology recruitment, and is the host of the Women in Data event.