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Senior Engineer, Data Engineering

Posted a month ago

  • Nottingham, Nottinghamshire
  • Any
  • External
  • Expires In 2 months
About Us
We’re an award-winning innovative tech consultancy - a team of creative problem solvers. Since 1993 we’ve been finding better, more sustainable ways to solve complex technology problems for some of the world’s leading organisations and delivered solutions that millions of people use every day. In the last 30 years we won several awards, including a prestigious Queen’s Award for Enterprise in the Innovation category for our Enterprise Agile delivery approach.
Our Approach
Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We are DataOps advocates and use software engineering best practices to build scalable and re-usable data solutions to help clients use their data to gain insights, drive decisions and deliver business value.
Role Overview
Clients don’t engage BJSS to do the straightforward things, they ask us to help on their biggest challenges which means we get to work with a wide range of tools and technologies and there are always new things to learn. BJSS data engineers are specialist software engineers that build, optimise and maintain data applications, systems and services. This role combines the discipline of software engineering with the knowledge and experience of building data solutions in order to deliver business value. As a BJSS data engineer you’ll help our clients deploy data pipelines and processes in a production-safe manner, using the latest technologies and with a DataOps culture. You’ll work in a fast moving, agile environment, within multi-disciplinary teams of highly skilled consultants, delivering modern data platforms into large organisations.
Key Responsibilities
Deploy data pipelines and processes in a production-safe manner
Work with a variety of tools and technologies in the cloud (AWS, Azure, GCP)
Build reliable, efficient data applications, systems, services, and platforms
Write well-tested object-oriented Python
Design choices for data storage and data processing, with a focus on cloud data services
Write complex queries against relational and non-relational data stores
Benefits
Flexible benefits allowance, industry-leading health and wellbeing plan, life assurance, 25 days annual leave plus bank holidays, hybrid working, discounts, referral scheme, training opportunities, squad support, social calendar, GymFlex gym membership programme.
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