Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Candidates should possess a Bachelor’s degree in Computer Science or a related field, and have at least 5 years of experience in data engineering, with a strong understanding of coding best practices and design patterns. Experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation, and alerting is required, as well as proficiency in Python programming and a solid understanding of object-oriented programming (OOP) principles.
The Lead Data Engineer will be responsible for building, optimizing, and maintaining data applications, systems, and services, working with clients on complex challenges and delivering scalable, reusable data solutions. They will gain opportunities to work with a variety of tools and technologies including cloud platforms (AWS, Azure, GCP), Snowflake, Databricks, BigQuery, and Fabric, while also working with near real-time/streaming data and geospatial data, and utilizing modern AI-tooling to accelerate development.
Technology consultancy for digital transformation
BJSS provides technology and engineering consultancy services focused on digital transformation for various sectors, including healthcare, finance, retail, and the public sector. The company helps organizations improve their operational efficiency and customer experiences by offering services such as strategy development, software engineering, cloud computing, data analytics, artificial intelligence, and automation. BJSS's unique Enterprise Agile approach combines agile methodologies with enterprise-level project management, allowing for efficient project delivery and adaptability to client needs. Unlike many competitors, BJSS tailors its consultancy services to meet the specific requirements of each client, generating revenue through project fees, ongoing support contracts, and subscription models. The goal of BJSS is to be a trusted partner for organizations navigating the complexities of digital transformation, delivering technology solutions that drive innovation and efficiency.