Senior Data Engineer: ML & AI Platform (London Hybrid)

Datatech Analytics; Greater London; Hybrid; GBP 70,000 - 80,000; Full time

Job summary

An innovative AI SaaS company is seeking a Senior Data Engineer to build and maintain scalable data and machine learning pipelines. The role involves working closely with product, engineering, and data science teams to implement robust data transformations and modeling. Ideal candidates will have strong hands-on experience with Python and PySpark, solid SQL skills, and a passion for engineering excellence. This position offers hybrid working in London, with a competitive salary ranging from £70,000 to £80,000 depending on experience.

Qualifications

• Strong hands-on experience with Python and PySpark, particularly for complex data modelling and transformation.
• Strong SQL skills with experience in building complex queries.

Responsibilities

• Building, shaping, and owning cloud-native data and machine learning pipelines end to end.
• Designing and implementing robust data transformations and modelling logic using Python, PySpark and SQL.
• Developing scalable data structures that support analytics, ML, and downstream product use cases.
• Strengthening CI/CD pipelines, deployments, monitoring, and overall platform reliability.
• Partnering closely with product, engineering, and data science teams.
• Helping define engineering standards and reusable patterns.

Skills

Python

PySpark

SQL

Job description

An innovative AI SaaS company is seeking a Senior Data Engineer to build and maintain scalable data and machine learning pipelines. The role involves working closely with product, engineering, and data science teams to implement robust data transformations and modeling. Ideal candidates will have strong hands-on experience with Python and PySpark, solid SQL skills, and a passion for engineering excellence. This position offers hybrid working in London, with a competitive salary ranging from £70,000 to £80,000 depending on experience.