At a Glance
- Tasks: Lead the design and development of data processing software for large-scale solutions.
- Company: Join Kainos, a forward-thinking tech company with a collaborative spirit.
- Benefits: Enjoy competitive pay, health perks, remote work options, and growth opportunities.
- Other info: Dynamic environment with a focus on AI technologies and career development.
- Why this job: Make a real impact in data engineering while leading innovative projects.
- Qualifications: Experience in leading teams and proficiency in Java, Scala, or Python required.
The predicted salary is between 70000 - 90000 £ per year.
As a Lead Data Engineer (Consultant) at Kainos you will be responsible for designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Lead Data Engineers provide strong development leadership for team members and take responsibility for the quality of the codebase as well as the match to user needs.
Responsibilities
- Taking responsibility for the development of whole components or subsystems within a team. Development incorporates design, code, test and defect resolution.
- Focusing on hands‑on design and development, using open source and commercial platforms.
- Defining and enforcing development best practice and coaching team members to ensure consistency.
- Working with project architects, taking responsibility for non‑functional needs of ETL/ELT data processing pipelines such as robustness and performance.
- Taking responsibility for standards and execution of unit and integration testing done within the team.
- Taking responsibility for software product due diligence and integration.
- Leading troubleshooting and tuning of activities.
- Working with Operations teams to ensure the application software is operationally ready.
- Working with Security Architects and accreditors to ensure compliance with relevant legal and security requirements.
- Advising customers and managers and other team members of the estimated effort and technical implications of user stories and user journeys.
- Contributing to technical proposals as part of the sales process.
- Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development. You’ll also provide direction for your team as you solve problems together.
Essential Requirements
- Experience of leading a team of engineers in the implementation of data‑intensive system components.
- Experience of applying standards for design (patterns), development (style guides) and operational readiness (automation, deployment).
- Proficient software development experience in one of Java, Scala, or Python.
- Software development experience with data‑processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools.
- Expert in SQL or SQL extensions for analytical use case.
- Expert understanding of distributed data stores and data processing frameworks.
- Ability to simply and clearly communicate technical design both written and verbally.
- Proficient in designing analytical and operational data models.
- A keen interest in AI technologies.
Desirable
- Comfortable with Data Warehouse methods and techniques.
- Actively shares their thoughts and views on data practices.
- AWS/Azure/GCP Certified in Data Services.
- Expertise in continuous improvement and sharing input on data best practice.
- Participation in development and/or technology communities.
- Practical experience with AI technologies, tools, processes and delivery.
