Description
- London (Hybrid – 3 days in office)
- Up to £85,000 dependent on experience
- Ref: J13073
We’re working with a fast-growing AI SaaS business where data sits at the core of everything they build.
They’re looking for a Senior Data Engineer to take ownership of the pipelines that power their platform.
You’ll be working with real-world, messy data and shaping it into reliable, decision-ready datasets used across product, analytics, and machine learning.
Python/PySpark and SQL are central to the role.
The Role:
- You’ll design and maintain data pipelines, handle edge cases, and ensure data quality as the platform scales.
- The environment is modern and cloud-based, using tools such as AWS, GCP or Azure, alongside Spark, Snowflake or BigQuery.
- You’ll also play a key role in supporting and mentoring other engineers through code reviews and collaboration.
- You’ll be joining a supportive team that values different perspectives, encourages thoughtful problem solving, and gives engineers the space to contribute in their own way.
What we’re looking for:
- Strong Python and SQL experience in production
- Experience with Spark, Snowflake, BigQuery or similar
- Cloud experience (AWS, GCP or Azure)
- Comfortable working with complex, messy data
- Experience owning pipelines end-to-end
- Collaborative mindset with mentoring experience
If you enjoy building the data foundations behind AI products, this could be a great fit. Get in touch today to find out more
Right to work in the UK required (no sponsorship available)
If you have a friend or colleague who may be interested, referrals are welcome. For each successful placement, you will be eligible for our general gift or voucher scheme.
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