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Women in Data®

Senior Data Engineer – Python and SQL

CompanyWomen in Data®
LocationLondon Area, United Kingdom
Posted At3/9/2026

UK Visa Sponsorship Analytics

Occupation Type
IT business analysts, architects and systems designers
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,900 (£28.15 per hour)
Occupation rate applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Women in Data®. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

Description

Location: London with hybrid working Monday to Wednesday in the office

Salary: £70,000 to £85,000 depending on experience

Ref: J13026


We are working with a fast growing AI driven SaaS Platform Company where data underpins intelligent products used at scale. Large volumes of first party data flow through the platform and are shaped into trusted inputs for analytics, product features, and machine learning.

They are looking for a Senior Data Engineer to take ownership of the core data pipelines that make this platform work in practice.


This role is about working with real world data that directly feeds AI driven products. Data arrives incomplete, inconsistent, and sometimes ambiguous. Your role is to shape it into clear, reliable, decision ready datasets that product, analytics, and machine learning teams can confidently rely on.


Python and SQL are fundamental to the work.

You will design and maintain transformation logic, think carefully about data quality and edge cases, and ensure downstream behaviour remains reliable as data volumes and AI capabilities grow.


The work sits within a modern cloud data stack. You will work with technologies such as AWS, GCP or Azure, distributed processing frameworks like Spark, and modern data stores and warehouses such as Snowflake or BigQuery. The emphasis is on building robust, well structured data logic that scales alongside the platform.


You will be part of a collaborative and supportive engineering team where quality, clarity, and long term thinking are valued. Different perspectives are encouraged, and engineers are trusted to contribute in their own way. Alongside the hands on work, you will mentor and support other data engineers through code reviews, shared problem solving, and thoughtful technical guidance.


What we are looking for

  • Strong, hands on experience using Python and SQL in production environments
  • Experience building and maintaining data pipelines using technologies such as Spark, Snowflake, BigQuery, or similar
  • Experience working in cloud environments such as AWS, GCP or Azure, with an understanding of data processing at scale
  • Confidence working with messy, real world data and improving it through careful transformation and validation
  • A track record of taking ownership of important systems and seeing work through from design to long term support
  • A collaborative approach with experience mentoring and supporting other engineers through code review, shared problem solving, and knowledge sharing

  • If this role aligns with your experience using Python and SQL and you enjoy building the data foundations that power AI driven products while supporting other engineers to do their best work, we would like to hear from you.


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


    Apply to find out more!

    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.

    Datatech is one of the UK’s leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit www.datatech.org.uk.


    We are proud supporters of Women in Data®. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.

    Stay connected! Follow us on LinkedIn for updates on career opportunities and more.