Data Engineer
Updated on 11/15/2023
BJSS

1,001-5,000 employees

Technology and engineering consultancy with environmental focus
Company Overview
BJSS is an esteemed technology and engineering consultancy, recognized with a Queen’s Award for Enterprise, known for delivering impactful IT solutions to major global organizations. The company fosters a culture of environmental responsibility, demonstrated through their Green Field conservation programme, which aims to restore biodiversity in the Yorkshire Dales and achieve a zero-carbon future. This commitment to sustainability, combined with their industry leadership and technical prowess, makes BJSS a compelling workplace for those seeking to make a difference through technology.
Financial Services
Consulting
Government & Public Sector

Company Stage

N/A

Total Funding

N/A

Founded

1993

Headquarters

Leeds, United Kingdom

Growth & Insights
Headcount

6 month growth

5%

1 year growth

10%

2 year growth

21%
Locations
Exeter, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
AWS
BigQuery
Apache Kafka
Data Analysis
Google Cloud Platform
Microsoft Azure
Redshift
Python
CategoriesNew
Data & Analytics
Requirements
  • Good understanding of coding best practices and design patterns
  • Experience with code and data versioning, dependency management, code quality and optimization, error handling, logging, monitoring, validation, and alerting
  • Experience in writing well-tested object-oriented Python
  • Experience with using CI/CD tooling to analyze, build, test, and deploy code
  • Good understanding of design choices for data storage and data processing, with a focus on cloud data services
  • Experience in using parallel computing to process large datasets and optimize computationally intensive tasks
  • Experience in programmatically deploying, scheduling, and monitoring components in a workflow
  • Experience in writing complex queries against relational and non-relational data stores
Responsibilities
  • Build, optimize, and maintain data applications, systems, and services
  • Deploy data pipelines and processes in a production-safe manner
  • Work in a fast-moving, agile environment within multi-disciplinary teams
  • Deliver modern data platforms into large organizations
  • Learn and use data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion, etc.
Desired Qualifications
  • Experience with cloud platforms such as AWS, Azure, GCP
  • Experience with data services like Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion
  • Experience with parallel computing frameworks
  • Experience with workflow management tools
  • Experience with relational and non-relational data stores