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We are DataOps advocates and use software engineering best practices to build scalable and re-usable data solutions that help clients utilize their data for insights, decision-making, and business value. Clients engage BJSS for complex challenges, allowing us to work with a wide range of tools and technologies, with always something new to learn.
BJSS data engineers are specialist software engineers who build, optimize, and maintain data applications, systems, and services. This role combines software engineering discipline with expertise in building data solutions to deliver business value.
As a BJSS data engineer, you’ll assist our clients in deploying data pipelines and processes in a production-safe manner, using the latest technologies and fostering a DataOps culture.
You’ll work in a fast-paced, agile environment within multi-disciplinary teams of highly skilled consultants, delivering modern data platforms into large organizations.
You can expect to engage in various projects in the cloud (AWS, Azure, GCP), utilizing data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion, and more.
About You
* You are an engineer at heart, enjoying the challenge of building reliable, efficient data applications, systems, services, and platforms.
* You understand coding best practices, design patterns, and have experience with code and data versioning, dependency management, code quality, optimization, error handling, logging, monitoring, validation, and alerting.
* You have experience writing well-tested object-oriented Python code.
* You are familiar with CI/CD tools for analyzing, building, testing, and deploying code.
* You understand data storage and processing design choices, especially in cloud data services.
* You have experience using parallel computing to process large datasets and optimize computationally intensive tasks.
* You can programmatically deploy, schedule, and monitor workflow components.
* You have experience writing complex queries against relational and non-relational data stores.
Some of the Perks
* Flexible benefits allowance – choose how to spend it (additional pension, healthcare, dental, etc.)
* Industry-leading health and wellbeing plan, including 24/7 GP services, mental health support, and more
* Life Assurance (4x annual salary)
* 25 days annual leave plus bank holidays
* Hybrid working – flexibility to split your time between the office, client site, and WFH
* Discounts with preferred rates from various retail, lifestyle, and utility brands
* Unlimited referral scheme
* Flexible holiday buy/sell options
* Electric vehicle scheme
* Training opportunities, including professional certifications and unlimited access to O’Reilly
* Opportunities to give back through partnerships for diversity in tech
* Supportive squad environment for growth
* Engaging social calendar including town halls, squad nights out, family-friendly events, and office gatherings
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