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- Tasks: Develop ETL pipelines and data tooling to deliver business insights.
- Company: Track24 empowers organisations to protect their people globally with innovative location intelligence.
- Benefits: Enjoy a collaborative work environment and the chance to work in London at least once a week.
- Why this job: Be part of a mission-driven team that values problem-solving and impactful data science initiatives.
- Qualifications: Experience in data science, ETL tools, Python or R, and cloud platforms is essential.
- Other info: This role offers a mid-senior level position in a growing company focused on safety and innovation.
The predicted salary is between 48000 - 72000 £ per year.
Join to apply for the Data Science Engineer role at Track24
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Join to apply for the Data Science Engineer role at Track24
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!
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!
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
-
Industries
Security and Investigations
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Data Science Engineer employer: Track24
Contact Detail:
Track24 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Engineer
✨Tip Number 1
Familiarise yourself with the specific ETL tools mentioned in the job description, like dbt and Metabase. Having hands-on experience or even a project showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Brush up on your Python or R skills, especially in the context of data modelling and analysis. Consider working on a personal project that involves building a data pipeline or statistical model to demonstrate your capabilities.
✨Tip Number 3
Network with current or former employees of Track24 on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 4
Stay updated on trends in geolocation and time-series data, even if it's not a strict requirement. Showing a genuine interest in these areas during your discussions can highlight your enthusiasm for the role and the company's mission.
We think you need these skills to ace Data Science Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Science Engineer position at Track24. Familiarise yourself with their flagship product, AtlasNXT, and how it relates to the role.
Tailor Your CV: Customise your CV to highlight relevant experience in ETL tooling, data modelling, and cloud platforms. Emphasise any previous work that aligns with the key responsibilities mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of Track24's mission. Mention specific projects or experiences that demonstrate your ability to solve complex problems and collaborate across teams.
Showcase Technical Skills: In your application, clearly outline your proficiency in Python or R, as well as your experience with ETL tools like dbt or Metabase. If you have worked with geolocation or time-series data, be sure to include that as well.
How to prepare for a job interview at Track24
✨Showcase Your ETL Expertise
Be prepared to discuss your experience with ETL tools and pipeline development. Highlight specific projects where you've successfully designed and implemented ETL processes, as this is a key responsibility for the role.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your ability to solve complex data challenges. Prepare examples of how you've approached difficult problems in the past, particularly those that required collaboration across teams.
✨Communicate Technical Insights Effectively
Since excellent communication skills are essential, practice explaining technical concepts in simple terms. Be ready to illustrate how your data insights have driven business value in previous roles.
✨Familiarise Yourself with Geolocation Data
While not essential, having a basic understanding of geolocation and time-series data can set you apart. Research how these data types are used in real-world applications, especially in relation to safety and risk management.
