10 months ago
Birmingham, United Kingdom or London, United KingdomStaff+
Responsibilities
- Design and develop data-processing and data-persistence software components for systems handling data at scale.
- Own development of complete components or subsystems, including design, coding, testing, defect resolution, integration, and due diligence.
- Design, implement, and optimize ETL/ELT data-processing pipelines with attention to robustness, performance, and operational readiness.
- Define and enforce development standards, style guides, automation, deployment practices, and testing approaches.
- Lead troubleshooting, tuning, unit testing, and integration testing activities.
- Work with architects, Operations teams, Security Architects, accreditors, customers, managers, and other engineers on technical and operational requirements.
- Estimate effort and explain technical implications for user stories and user journeys.
- Contribute to technical proposals as part of the sales process.
- Manage, coach, and develop a small number of staff, including performance management and career development.
Requirements
- Experience leading a team of engineers implementing data-intensive system components.
- Experience applying design, development, and operational-readiness standards, including patterns, style guides, automation, and deployment.
- Proficiency in software development with Java, Scala, or Python.
- Experience with data-processing platforms such as Informatica, Azure Databricks, or other relevant ETL tools.
- Expertise in SQL or SQL extensions for analytical use cases.
- Expert understanding of distributed data stores and data-processing frameworks.
- Proficiency designing analytical and operational data models.
- Ability to communicate technical designs clearly in writing and verbally.
- A keen interest in AI technologies.
- Desirable experience with data warehouse methods and techniques.
- Desirable AWS, Azure, or GCP certification in data services.
- Desirable practical experience with AI technologies, tools, processes, and delivery.
- Experience contributing to continuous improvement, data best practices, and development or technology communities.
Benefits
- People-first culture with support for professional growth and development.
- Inclusive workplace committed to diversity, equity, inclusion, accessibility, and recruitment accommodations.
Categories
Data Engineering
About Kainos
Kainos is a Belfast-headquartered, publicly listed IT services company that designs and delivers digital services and Workday solutions for public, healthcare and commercial clients. Its business includes agile software engineering, cloud and data platforms, systems integration, and a Workday implementation and testing practice (including the Smart automated testing product). Founded in 1986 and listed on the London Stock Exchange, Kainos operates across the UK, Europe and North America.