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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 engage BJSS not for straightforward tasks but for their biggest challenges, allowing us to work with a wide range of tools and technologies and continuously learn new skills.
BJSS data engineers are specialist software engineers who build, optimize, and maintain data applications, systems, and services. This role combines software engineering discipline with experience in 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 within a DataOps culture.
You will work in a fast-moving, agile environment within multi-disciplinary teams of highly skilled consultants, delivering modern data platforms into large organizations.
Projects involve cloud technologies (AWS, Azure, GCP) and 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, passionate about building reliable, efficient data applications, systems, services, and platforms.
* You have a good understanding of coding best practices, design patterns, and experience with code and data versioning, dependency management, code quality, optimization, error handling, logging, monitoring, validation, and alerting.
* You have experience in writing well-tested object-oriented Python.
* You are familiar with CI/CD tools for analyzing, building, testing, and deploying code.
* You understand design choices for data storage and processing, especially in cloud data services.
* You have experience with parallel computing to process large datasets and optimize computational 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 time between office, client site, and WFH
* Discounts from various retail, lifestyle, and utility brands
* Referral scheme with unlimited referrals
* Holiday buy/sell options
* Electric vehicle scheme
* Training and certification opportunities, including access to O’Reilly
* Involvement in initiatives promoting diversity in tech
* Supportive team environment for professional growth
* Active social calendar including town halls, team nights out, family events, and office gatherings
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