At a Glance
- Tasks: Enhance a secure, scalable data platform for a high-profile government programme.
- Company: Sanderson Government & Defence, a leader in innovative data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment that values ownership and problem-solving.
- Why this job: Join a mission-driven team and make a real impact on government projects.
- Qualifications: Experience in building data pipelines, strong data modelling skills, and Python proficiency.
The predicted salary is between 60000 - 80000 £ per year.
Sanderson Government & Defence is seeking a Lead Data Engineer to enhance a secure, scalable data platform for a high-profile government programme. You will work with batch and real-time data using modern cloud technologies.
The ideal candidate will have experience in building data pipelines, strong data modeling skills, and proficiency in Python. The role involves collaborating with teams and fostering a culture of ownership and problem-solving.
Lead Data Engineer - Cloud Data Platform employer: Sanderson Government & Defence
At Sanderson Government & Defence, we pride ourselves on being an exceptional employer, offering a dynamic work environment that champions innovation and collaboration. Our commitment to employee growth is reflected in our comprehensive training programmes and opportunities to work on high-impact projects within the government sector. Located in a vibrant area, we foster a culture of ownership and problem-solving, ensuring that our team members feel valued and empowered in their roles.
Contact Details:
Sanderson Government & Defence Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - Cloud Data Platform
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We think you need these skills to ace Lead Data Engineer - Cloud Data Platform
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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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