Top Tech Jobs & Startup Jobs

Specialist software engineer role at an award-winning tech consultancy, responsible for building, optimizing, and maintaining data applications, systems, and services. Deploy data pipelines using latest technologies in a production-safe manner. Work in agile environment on modern data platforms using cloud services like AWS, Azure, GCP, Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, and Cloud Data Fusion. Strong coding skills, CI/CD expertise, and experience in data storage and processing.

As a Data Engineer at BJSS, you will build, optimize, and maintain data applications and systems. This role requires deploying data pipelines and processes, using cloud technologies, and ensuring best practices in software engineering and DataOps methodologies.

As a Data Architect, you will lead teams in delivering data solutions, focusing on data warehousing, analytics, and machine learning. You'll serve as a technical authority, mentoring team members while engaging with clients to derive value from data and advocating for Agile practices.

As a Data Engineer at BJSS, you will design, build, and maintain scalable data solutions using a variety of cloud technologies and data services. You'll implement data pipelines and processes, ensuring production safety and reliability while working in agile teams to deliver data platforms for large organizations.

As a Data Engineer, you will build, optimize, and maintain data applications and services, deploying data pipelines in production. You'll work with cloud technologies and data services to drive insights for clients while adhering to software engineering best practices.

The Data Engineer will build, optimise, and maintain data applications and systems while deploying data pipelines for clients. This role requires proficiency in cloud technologies and software engineering best practices within a DataOps culture for delivering modern data platforms.

The Data Architect role involves leading delivery teams, mentoring staff, and engaging with clients to deliver data solutions using modern data warehousing, cloud services, and machine learning. The role focuses on deriving business value from data through Agile methodologies and DataOps culture, ensuring high-quality solutions that meet customer needs.