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Kainos

Enterprise digital solutions and Workday deployments

Lead Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • Experience leading a team of engineers in implementing data-intensive system components.
  • Experience applying standards for design patterns, development style guides, and operational readiness, including automation and deployment.
  • Proficient software development experience in Java, Scala, or Python.
  • Software development experience with data-processing platforms from vendors including Informatica, Azure Databricks, or relevant extract, transform, and load 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 designs simply and clearly, both in writing and verbally.
  • Proficiency in designing analytical and operational data models.
  • A keen interest in artificial intelligence technologies.

Responsibilities

  • Take responsibility for the development of whole components or subsystems within a team, including design, coding, testing, and defect resolution.
  • Focus on hands-on design and development using open-source and commercial platforms.
  • Define and enforce development best practices and coach team members to ensure consistency.
  • Work with project architects and take responsibility for non-functional needs of extract, transform, and load/extract, load, and transform data-processing pipelines, such as robustness and performance.
  • Take responsibility for standards and execution of unit and integration testing within the team.
  • Take responsibility for software product due diligence and integration.
  • Lead troubleshooting and tuning activities.
  • Work with Operations teams to ensure application software is operationally ready.
  • Work with Security Architects and accreditors to ensure compliance with relevant legal and security requirements.
  • Advise customers, managers, and team members on 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 employee performance and career development, and provide direction for the team.

Desired Qualifications

  • Comfort with data warehouse methods and techniques.
  • Active sharing of thoughts and views on data practices.
  • Certification in data services from AWS, Azure, or Google Cloud Platform.
  • Expertise in continuous improvement and sharing input on data best practices.
  • Participation in development and technology communities.
  • Practical experience with artificial intelligence technologies, tools, processes, and delivery.

About the Company

Kainos

Enterprise digital solutions and Workday deployments

Kainos provides digital technology solutions and Workday deployments for enterprise clients, helping organizations optimize HR and operational processes. Their approach centers on delivering Workday implementations, digital transformation, and cloud migration through consulting and partnerships, with emphasis on collaboration, security, and on-time delivery. Kainos differentiates itself by combining deep HR-focused expertise with strong customer relationships, a positive culture, and a commitment to diversity and community initiatives, aiming to help clients grow and operate more efficiently. Its goal is to help enterprises navigate modern business challenges by implementing reliable digital solutions that improve efficiency and enable sustained growth.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Belfast, United Kingdom
Founded
1986

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