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Our Data Engineers enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to the clients’ needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders.
Job Responsibility:
Enable public sector organisations to embrace a data-driven approach by providing data platforms and services
Develop, operate, and maintain data services
Provide maximum value to data consumers, including analysts, scientists, and business stakeholders
Play a hands-on role as a contributor to client projects
Deliver engineering work
Upskill members of the client team
Participate in hiring process and continued development of the team
Represent the company internally and publicly via presentations
Mentor teams
Share knowledge and skills with others
Requirements:
Working directly with clients and users
Strong hands-on Python experience
Designing and implementing efficient data transformation processes at scale, in either batch or streaming use cases
Contributing to the cloud infrastructure underpinning data systems through a DevOps approach
Basic understanding of the possible architectures involved in modern data system design (e.g. warehouses, lakes, and meshes)
Agile practices such as Scrum, XP, and/or Kanban
Showcasing and presentation skills
Evidence of self-development
Empathy and people skills
Eligibility for SC (security check) clearance
5 years' continuous UK residency
5 years' employment history (or back to full-time education)
Nice to have:
Working at a technology consultancy
Pair programming
Working with data scientists to productionise advanced data deliverables, such as machine learning models
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