At a Glance
- Tasks: Lead data engineering initiatives and set standards for the Common Data Service portfolio.
- Company: DFTO, a forward-thinking organisation in the heart of London.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team focused on driving DataOps and scalable architectures.
- Why this job: Make a significant impact on the GB rail ecosystem with innovative data solutions.
- Qualifications: Experience in data engineering, leadership skills, and knowledge of multi-cloud environments.
The predicted salary is between 75600 - 92400 £ per year.
DFTO in London is seeking a Principal Analytics Engineer to lead data engineering across the Common Data Service portfolio. You will set standards, own the approach, and supervise central analytics engineers while collaborating with TOCs, NR, and RDG to deliver reusable data products for the GB rail ecosystem.
The role combines hands-on delivery with leadership across initiatives, driving DataOps, multi-cloud patterns (AWS/Azure), and scalable data architectures.
#J-18808-LjbffrPrincipal Data Engineer: Cross-Portfolio Analytics Leader employer: DfT Operator
The DfT Operator is an excellent employer, offering a dynamic work environment that fosters innovation and collaboration in the rail sector. With a strong focus on employee growth, generous annual leave, and a robust pension scheme, team members are supported in achieving both personal and professional goals while contributing to the significant transition to Great British Railways. The hybrid working model allows for flexibility, making it an attractive opportunity for those seeking meaningful and rewarding employment in London.
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We think this is how you could land Principal Data Engineer: Cross-Portfolio Analytics Leader
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Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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