Senior Data Engineer

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

Job summary

A forward-thinking data analytics firm is looking for a Senior Data Engineer to design and deliver cloud-based data and machine learning pipelines. In this hybrid role based in London, you will collaborate with cross-functional teams while working with Python, PySpark, and SQL. Ideal candidates will have experience with modern cloud platforms like GCP, AWS, Azure, Snowflake, or Databricks and a strong background in developing reliable data transformations. Join a supportive culture with clear progression opportunities.

Benefits

Supportive and inclusive culture

Clear progression opportunities

Collaborative environment

Qualifications

• Experience using Python for data transformation, ideally alongside PySpark.
• Confidence working with SQL and production data models.
• Experience with modern 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 data transformations.
• Collaborating closely with Product, Engineering, and Data Science teams.

Skills

Python for data transformation

PySpark experience

SQL proficiency

Cloud data platform experience

Collaborative mindset

Tools

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.