Data Engineer (Mid/Senior/Lead)

at  BJSS

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.
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 want to continue to grow our team with people just like you!

We’re building out our Data Engineering practice across multiple levels. Depending on your experience and aspirations, you could be contributing as a key team member, leading a dedicated team, or taking on principal engineer responsibilities across multiple teams and larger strategic projects. While the contractual job title will be Data Engineer, the role and responsibilities will be tailored to your experience level and our organisational needs.
We are DataOps advocates and use software engineering best practices to build scalable, re-usable data solutions to help clients use their data to gain insights, drive decisions, and deliver business value. Clients engage BJSS to take on their complex challenges, looking to us to help deliver results against their business-critical needs 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 can expect to get involved in a variety of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to learn about and use data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc.