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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 with their biggest challenges, which means we get to work with a wide range of tools and technologies, always learning new things.
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 help our clients deploy data pipelines and processes in a production-safe manner, using the latest technologies within 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 organizations.
You can expect to be involved 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, etc.
About You
* You're an engineer at heart and enjoy 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 in writing well-tested, object-oriented Python.
* You are familiar with using CI/CD tools to analyze, build, test, and deploy code.
* You understand design choices for data storage and processing, especially in cloud data services.
* You have experience in parallel computing for processing large datasets and optimizing computationally intensive tasks.
* You have experience deploying, scheduling, and monitoring workflow components programmatically.
* You are skilled in 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 and mental health support
* 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 professional certification support, including unlimited access to O’Reilly
* Opportunities to get involved in diversity initiatives and community partnerships
* Supportive team environment with growth opportunities
* Active social calendar including town halls, team outings, and family-friendly events
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