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 our most recent inclusion in the Forbes World's Best Management Consulting Firms report.
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.
Our story in Portugal started in 2020 with a small office in Lisbon. The team is now over 100 across Lisbon and Porto, and we are the perfect blend of national and international collaboration and reputation.
We want to continue to grow and need people just like you!
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. 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.
You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc.