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 adaptableData 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!
Benefits
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 once per week!
