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Data Academy

Data Academy

Introduction

Are you passionate about data and do you want to make it your career? If so, we are looking for highly-motivated developers with at least one-year experience using Python in a professional environment. We are running a data academy this Summer where you will join a diverse group of data enthusiasts, and learn about some of the latest data and cloud technologies.

BJSS’ training will help you learn how to design, develop, and optimise end-to-end data platforms (including processing, storage, security, and monitoring) and prepare for the Data Engineering on Microsoft Azure certification.

Following the hands-on training, you will then get to work on some of the most exciting data projects in the UK. You will be building leading-edge data platforms together with experienced data engineers as part of cross-functional teams. You will be provided with individual support and a tailored learning path throughout your career at BJSS.

Data Academy Introduction

Who is BJSS?

BJSS is 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.

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.

Why BJSS?

About the role

As a BJSS Data Engineer, you’ll get to work with some of the brightest and best in the industry on some of the most exciting digital programmes around. You’ll work in a fast-moving, Agile environment, within multidisciplinary teams, delivering modern data platforms into large organisations.

You’ll help our clients deploy data pipelines and processes in a production-safe manner, using the latest technologies and with a DataOps culture. Here is an overview of some of the technologies you can expect to use:

  • Python.
  • AWS or Azure data services (e.g. Data Factory, Synapse, Redshift, Glue, Athena).
  • Databricks or Apache Spark.
  • Distributed NoSQL databases (e.g. HBase, Cassandra).
  • Stream processing technologies such as Kafka, Kinesis etc.
  • Hadoop ecosystem exposure.
About the role