Data Science Engineer...

London, United Kingdom | Posted on 01/07/2025

Our advanced, location-based technology is changing the way organisations safeguard their people and ensure operations continue, regardless of the situation, time and location.

Through a culture of innovation and collaboration, and a commitment to excellence, we are delivering solutions that have a tangible impact on people around the world.

We are passionate about creating an environment where everyone can learn and develop, with our staff having access to training, mentoring and educational resources to fuel their ongoing development.

Job Description

At Track24 we empower organisations to protect their people, in any context, in any location, at any time.

At Track24, we’re transforming the way organisations stay connected with their teams across the globe. Our flagship location intelligence platform, AtlasNXT, has launched us into an exciting phase of growth and are looking for passionate individuals to join our Engineering team.

What’s AtlasNXT?

It’s more than a product—it’s a mission. AtlasNXT empowers businesses to fulfil their duty of care by helping our customers make better decisions and stay ahead of risk, no matter where they are. As a Data Science Engineer, you’ll be at the forefront of this mission, helping us to build a scalable geo-location platform which helps keep people safe wherever they are in the world.

Track24 is looking for a skilled and adaptable Data Science Engineer, to take ownership over our ETL tools, pipelines, models and insights .

This role is central to the design, construction, and maintenance of the ETL pipelines and data infrastructure that enable timely and accurate delivery of insights across the business.

This is an excellent opportunity for someone who enjoys solving complex problems, thrives on cross-team collaboration, and wants to take ownership of impactful data science initiatives from discovery to deployment.

Key Responsibilities:

Lead the development of ETL pipelines and data tooling to consolidate business insights

Design and deploy statistical models that solve real business challenges

Work closely with stakeholders across Sales, Marketing, Product and Engineering

Integrate data science solutions into production environments and applications

Monitor, report and improve performance of data infrastructure and services

Contribute to system design and architectural planning alongside the Head of Engineering

Lead feasibility studies and measure key data KPIs to drive continuous improvement

Ensure reliability, availability and scalability of all data systems

Requirements

Significant experience as a Data Science Engineer (or similar senior data role)

Expertise in ETL tooling and pipeline development (e.g. dbt, Metabase)

Proficiency in Python or R for data modelling and analysis

Experience working with cloud platforms (AWS, GCP or Azure)

Track record of deploying and maintaining reliable data systems at scale

Excellent communication skills and ability to translate technical insights into business value

Experience and understanding of geolocation and time-series data is desirable but not essential!

We are looking to find an ambitious Data Science Engineer, who values challenging and collaborative work.

We are based in Farringdon, London, and would love to see you in the office at least onceper week!

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