Data Engineer

Position Overview

• Location Type: Multiple Locations (Global)
• Employment Type: Not Specified (Likely Full-Time)
• Salary: Not Specified

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’ve 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!

About the Role

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. The role and responsibilities will be tailored to your experience level and our organisational needs.

We are Software Engineers who use SDLC 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 solutions to deliver business value.

You can expect to get involved in a variety of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to work with Snowflake, Databricks, BigQuery, and Fabric. We work with near real-time/streaming data, geospatial data, and using modern AI-tooling to accelerate development.

Requirements

• Good understanding of coding best practices and design patterns.
• Experience with code and data versioning, dependency management, code quality, and optimisation.
• Experience with error handling, logging, monitoring, validation, and alerting.
• Experience in writing complex queries against relational and non-relational data stores.
• Strong proficiency in Python programming, with a solid understanding of object-oriented programming (OOP) principles, best practices, and a commitment to writing clean, maintainable code.

Responsibilities

• Build, optimise, and maintain data applications, systems, and services.
• Contribute to the design and development of scalable, re-usable data solutions.
• Work with clients to deliver business value through data insights.
• Get involved in a variety of projects in the cloud (AWS, Azure, GCP).
• Gain opportunities to work with Snowflake, Databricks, BigQuery, and Fabric.
• Work with near real-time/streaming data and geospatial data.
• Utilize modern AI-tooling to accelerate development.