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Join Kainos and Shape the Future
At Kainos, were problem solvers, innovators, and collaborators – driven by a shared mission to create real impact. Whether were transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.
We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, youll be part of a diverse, ambitious team that celebrates creativity and collaboration.
Ready to make your mark? Join us and be part of something bigger.
MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS:
As a Senior Data Engineer (Senior Associate) at Kainos, you will be responsible or designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Senior Data Engineers provide strong development leadership and take responsibility for significant technical components of data systems. You will work within a multi-skilled agile team to design and develop large-scale data processing software to meet user needs in demanding production environments.
Your responsibilities will include:
Working to develop data processing software primarily for deployment in Big Data technologies. The role encompasses the full software lifecycle including design, code, test and defect resolution.
Working with Architects and Lead Engineers to ensure the software supports non-functional needs.
Collaborating with colleagues to resolve implementation challenges and ensure code quality and maintainability remains high. Leads by example in code quality.
Working with operations teams to ensure operational readiness
Advising customers and managers on the estimated effort and technical implications of user stories and user journeys.
Coaching and mentoring team members. xwwtmva
MINIMUM (ESSENTIAL) REQUIREMENTS:
Strong software development experience in one of Java, Scala, or Python
Software development experience withdata-processing platforms from vendors such as AWS, Azure, GCP, Databricks.
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