Data engineer - powered saas

Job Description:

Data Engineer | AI-Powered SaaS Scale-Up | London (Hybrid)

Salary - up to £45,000 PA Depending on Experience

London (Hybrid: Monday–Wednesday in office)

JOB REF : J13027

We’re working with a fast growing tech company that’s helping some of the best known brands in the UK turn first-party data into real business advantage.

To be clear.....This isn’t a maintenance role

It’s about building, learning, and being part of something that’s scaling fast. You’ll work alongside talented AI Engineers and Analysts, learning how to productionise data and machine learning at scale, and seeing how clean engineering directly shapes how businesses make decisions.

You’ll be hands on with Python, SQL, and cloud (Azure, AWS, or GCP), building structured pipelines, integrating ML outputs, and automating processes that keep data flowing securely and reliably.

This is an amazing opportunity for someone early in their data engineering career who craves exposure to AI, automation, and cloud-based delivery - Not just theory, but the real thing.

If that sounds like your kind of challenge, let’s have a chat.

Be brave - make the move

Must haves

• 1+ years in a Data Engineering / Platform role
• Demonstrable experience with DevOps workflows
• Excellent STEM degree (Mathematics, Statistics, Computer Science, Engineering, or similar)

No Sponsorship available . Role not available for post grad VISA holders

#DataEngineering #AI #MachineLearning #Python #DatatechAnalytics

Data Engineer | AI-Powered SaaS Scale-Up | London (Hybrid)

Salary - up to £45,000 PA Depending on Experience

London (Hybrid: Monday–Wednesday in office)

JOB REF : J13027

We’re working with a fast growing tech company that’s helping some of the best known brands in the UK turn first-party data into real business advantage.

To be clear.....This isn’t a maintenance role

It’s about building, learning, and being part of something that’s scaling fast. You’ll work alongside talented AI Engineers and Analysts, learning how to productionise data and machine learning at scale, and seeing how clean engineering directly shapes how businesses make decisions.

You’ll be hands on with Python, SQL, and cloud (Azure, AWS, or GCP), building structured pipelines, integrating ML outputs, and automating processes that keep data flowing securely and reliably.

This is an amazing opportunity for someone early in their data engineering career who craves exposure to AI, automation, and cloud-based delivery - Not just theory, but the real thing.

If that sounds like your kind of challenge, let’s have a chat.

Be brave - make the move

Must haves

• 1+ years in a Data Engineering / Platform role
• Demonstrable experience with DevOps workflows
• Excellent STEM degree (Mathematics, Statistics, Computer Science, Engineering, or similar)

No Sponsorship available . Role not available for post grad VISA holders

#DataEngineering #AI #MachineLearning #Python #DatatechAnalytics