Lead Data Engineer

Kainos
Dartford
4 days ago
Create job alert
Join Kainos and Shape the Future

At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.


We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.


Ready to make your mark? Join us and be part of something bigger.


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.


Your responsibilities will include:



  • 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.

Minimum (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 J ava, Scala, or Python
  • Software development experience withdata‑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

Who you are

Our vision is to enable outstanding people to create digital solutions that have a positive impact on people’s lives. Our values aren't abstract; they are the behaviours we expect from each other every day, and underpin everything that we do. We expect everyone to display our values by being determined in how obstacles are overcome; honest when dealing with others; respectful of how you treat others; creative to find solutions to complex problems and cooperative by sharing information, knowledge and experience.


These values, applied collectively, help to produce an outstanding Kainos person, team and culture.


About us

Kainos is a high‑growth IT services company providing digital technology solutions and agile software development to enterprise customers. Across our 30‑year history, we have worked on transformational projects across government, NHS and a myriad of private sector clients.


Embracing our differences

At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field.


Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out.


We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.



#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer / Architect – Databricks Active - SC Cleared

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.