When you join Kainos, you get to think beyond limitations to make an immediate and positive impact – like transforming digital services for millions of citizens or helping Fortune 500 companies get live and thrive on Workday.

You’ll be part of a people-first culture that is growing around the world. We’re a creative, committed, and diverse group of individuals who succeed as a team.

At Kainos your ideas are heard and valued and you’ll leave a legacy that you can feel proud of.  Join us and discover how our people write our story.

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.

MINIMUM (ESSENTIAL) REQUIREMENTS:

• Strong software development experience in one of Java, Scala, or Python

• Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.

• Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment 

• Proficient in SQL and SQL extensions for analytical queries

• Solid understanding of ETL/ELT data processing pipelines and design patterns

• Aware of key features and pitfalls of distributed data processing frameworks, data stores and data serialisation formats

• Able to write quality, testable code and has experience of automated testing

• Experience with Continuous Integration and Continuous Deployment techniques

DESIRABLE REQUIREMENTS:

• Experience of performance tuning

• Experience of data visualisation and complex data transformations

• Experience with steaming and event-processing architectures including technologies such as Kafka and change-data-capture (CDC) products

• Expertise in continuous improvement and sharing input on data best practice