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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 who 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 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 be involved in a 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.
About You
* You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications, systems, services, and platforms.
* You have a good understanding of coding best practices and design patterns, with experience in code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation, and alerting.
* You have experience in writing well-tested object-oriented Python code.
* You are familiar with using CI/CD tooling to analyze, build, test, and deploy your code.
* You have a good understanding of design choices for data storage and processing, especially in cloud data services.
* You have experience in using parallel computing to process large datasets and optimise computationally intensive tasks.
* You have experience in programmatically deploying, scheduling, and monitoring components in workflows.
* You are skilled in writing complex queries against relational and non-relational data stores.
Some of the Perks
* Flexible benefits allowance – you choose how to spend your allowance (additional pension contributions, healthcare, dental, and more)
* Industry-leading health and wellbeing plan - including 24/7 GP services, mental health support, and other services
* Life Assurance (4 x annual salary)
* 25 days annual leave plus bank holidays
* Hybrid working – flexibility to split your time between the office, client site, and WFH, while maintaining our close-knit community
* Discounts from various retail, lifestyle, and utility brands
* Referral scheme with unlimited referrals
* Holiday buy/sell options
* Electric vehicle scheme
* Training and professional certification opportunities, including unlimited access to O’Reilly
* Opportunities to get involved in initiatives supporting diversity in tech
* Supportive teams across different areas of the business for your growth
* A vibrant social calendar including town halls, squad nights out, family-friendly events, and office get-togethers
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