Senior Data Engineer (ML and AI Platform)

Datatech; Greater London; Hybrid; GBP 65,000 - 80,000; Full time

Job summary

A leading AI-focused SaaS company is seeking a Senior Data Engineer to join their collaborative data and engineering team. The role involves designing and delivering cloud-based data and machine learning pipelines while working with Python, PySpark, and SQL. Ideal candidates will have experience in data transformation and SQL, along with familiarity with cloud data platforms. The company promotes a supportive culture and emphasizes professional development, offering a hybrid work model.

Benefits

Supportive and inclusive culture

Clear progression opportunities

Environment valuing collaboration and learning

Qualifications

• Experience using Python for data transformation, ideally alongside PySpark.
• Confidence working with SQL and production data models.
• Experience working with cloud data platforms such as GCP, AWS, Azure, Snowflake, or Databricks.

Responsibilities

• Contributing to the design and delivery of cloud-based data and machine learning pipelines.
• Working with Python, PySpark and SQL to build clear and maintainable data transformations.
• Helping shape scalable data models that support analytics, machine learning, and product features.

Skills

Python for data transformation

SQL and production data models

PySpark

Collaborative mindset

Cloud data platforms (GCP, AWS, Azure, Snowflake, Databricks)

Job description

Senior Data Engineer (ML and AI Platform)

Location: London with hybrid working Monday to Wednesday in the office
Salary: £65,000 to £80,000 depending on experience
Reference: J13026

We are partnering with an AI first SaaS business that turns complex first party data into trusted, decision ready insight at scale.

You will join a collaborative data and engineering team building a modern, cloud agnostic data and AI platforms.

This role is well suited to an experienced data engineer who enjoys working thoughtfully with real world data, contributing to reliable production systems, and developing clear and well-structured Python and SQL.

Why join:

• Supportive and inclusive culture where people are encouraged to contribute and be heard
• Clear progression with space to develop your skills at a sustainable pace
• An environment where collaboration, learning, and thoughtful engineering are genuinely valued

What you will be doing:

• Contributing to the design and delivery of cloud-based data and machine learning pipelines
• Working with Python, PySpark and SQL to build clear and maintainable data transformations
• Helping shape scalable data models that support analytics, machine learning, and product features
• Collaborating closely with Product, Engineering, and Data Science teams to deliver meaningful production outcomes

What we are looking for:

• Experience using Python for data transformation, ideally alongside PySpark
• Confidence working with SQL and production data models
• Experience working with at least one modern cloud data platform such as GCP, AWS, Azure, Snowflake, or Databricks
• Experience contributing to data pipelines that run reliably in production environments
• A collaborative mindset with clear and thoughtful communication

Right to work in the UK is required. Sponsorship is not available now or in the future.

Apply to learn more and see if this could be the next step for you.

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.