Salary: £55,000 - 75,000 per year
Requirements
- Strong Python and advanced SQL in production environments
- Experience delivering end-to-end data engineering solutions
- Exposure to Spark, Snowflake, BigQuery or similar
- Cloud experience across AWS, GCP, or Azure
- Comfortable working with messy, large-scale datasets
- Strong ownership from design through to deployment
- Right to work in the UK; sponsorship is not available
Responsibilities
- Build and maintain scalable, production-grade data pipelines
- Own end-to-end data workflows from source to production
- Write and optimise advanced SQL transformations at scale
- Work with complex, imperfect, high-volume datasets
- Improve data quality, reliability, and performanceli>
- Collaborate with product, analytics, and ML teams
- Contribute to engineering best practices
Technologies
- AI
- AWS
- Azure
- BigQuery
- Backbone
- Cloud
- GCP
- Machine Learning
- Python
- SQL
- Snowflake
- Spark
More
We are a fast-growing AI SaaS company building the data backbone behind our analytics and machine learning products. We offer a modern, cloud‑first engineering environment with exposure to Spark, Snowflake, and BigQuery across AWS, GCP, and Azure. This is a hybrid role based in London, with four days in the office each week (Monday to Wednesday included), and an opportunity to shape the data foundations behind our AI products in a high‑growth setting where SQL is central to success.
Senior Data Engineer employer: Datatech
Datatech is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of London. With a strong emphasis on employee growth, you will have ample opportunities to mentor and lead a talented team while working on innovative data solutions. The hybrid work model not only promotes flexibility but also encourages a balanced work-life integration, making it an ideal place for those seeking meaningful and rewarding employment.
