Join Kainos
At Kainos, we’re problem solvers, innovators, and collaborators – driven by a shared mission to create real impact. We transform digital services for millions, deliver cutting‑edge Workday solutions, and push the boundaries of technology together.
Lead Data Engineer (Consultant) – Responsibilities
* Take responsibility for the development of whole components or subsystems within a team, including design, code, testing and defect resolution.
* Focus on hands‑on design and development using open‑source and commercial platforms.
* Define and enforce development best practice, coaching team members to ensure consistency.
* Work with project architects on the non‑functional needs of ETL/ELT data‑processing pipelines such as robustness and performance.
* Take responsibility for standards and execution of unit and integration testing performed within the team.
* Manage software product due diligence and integration.
* Lead troubleshooting and tuning of activities.
* Collaborate with Operations teams to ensure the application software is operationally ready.
* Collaborate with Security Architects and accreditors to ensure compliance with relevant legal and security requirements.
* Advises customers, managers and team members on the estimated effort and technical implications of user stories and user journeys.
* Contribute to technical proposals as part of the sales process.
* Manage, coach and develop a small number of staff, focusing on performance and career development while guiding the team to solve problems together.
Minimum (essential) Requirements
* Experience leading a team of engineers in the implementation of data‑intensive system components.
* Experience applying standards for design (patterns), development (style guides) and operational readiness (automation, deployment).
* Proficient software development experience in Java, Scala or Python.
* Experience with data‑processing platforms from vendors such as Informatica, Azure Databricks or equivalent ETL tools.
* Expertise in SQL or SQL extensions for analytical use cases.
* Expert understanding of distributed data stores and data processing frameworks.
* Ability to communicate technical design clearly, both written and verbally.
* Proficiency in designing analytical and operational data models.
* Interest in AI technologies.
Desirable Skills
* Comfortable with Data Warehouse methods and techniques.
* Actively shares thoughts and views on data practices.
* AWS, Azure or GCP certification in Data Services.
* Expertise in continuous improvement and data best practice.
* Participation in development and/or technology communities.
* Practical experience with AI technologies, tools, processes and delivery.
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