Senior Data Engineer

4 weeks ago

York, York City, United Kingdom BJSS Full time
About BJSS

We're an award-winning innovative tech consultancy that's been finding better, more sustainable ways to solve complex technology problems for some of the world's leading organisations since 1993.

Our Approach

We're DataOps advocates and use software engineering best practices to build scalable and re-usable data solutions that help clients use their data to gain insights, drive decisions and deliver business value.

What We're Looking For

We're seeking an experienced Data Engineer to join our team. As a Data Engineer at BJSS, you'll help our clients deploy data pipelines and processes in a production-safe manner, using the latest technologies and with a DataOps approach.

You'll work in a fast-moving, agile environment, within multi-disciplinary teams of highly skilled consultants, delivering modern data platforms into large organisations.

Your Responsibilities
  • Design, build, and maintain data applications, systems, and services
  • Work with clients to understand their data needs and develop solutions to meet those needs
  • Collaborate with cross-functional teams to deliver data-driven solutions
  • Stay up-to-date with the latest data technologies and trends
What We Offer

We offer a range of benefits, including:

  • Flexible benefits allowance – you choose how to spend your allowance (additional pension contributions, healthcare, dental and more)
  • Industry-leading health and wellbeing plan – we partner with several wellbeing support functions to cater to each individual's need
  • 25 days annual leave plus bank holidays
  • Hybrid working – our roles are not fully remote, but we offer plenty of flexibility and you can split your time between the office, clients, and utility brands
  • An industry-leading referral scheme with no limits on the number of referrals
  • Flexible holiday buy and sell policy
  • Opportunities to grow and develop your skills
Requirements

To be successful in this role, you'll need:

  • A good understanding of coding best practices and design patterns
  • Experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and testing
  • Experience in writing well-tested object-oriented Python
  • A good understanding of design choices for data storage and data processing, with a particular focus on cloud data
  • Experience in programmatically deploying, scheduling and monitoring components
  • Experience in writing complex queries against relational and non-relational data stores
What's Next?

If you're passionate about data engineering and want to join a team that's passionate about delivering exceptional results, we'd love to hear from you.

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