At a Glance
- Tasks: Design and develop large-scale data processing software while mentoring team members.
- Company: Join Kainos, a leading AI and data business with a people-first culture.
- Benefits: Competitive salary, 35 days holiday, private healthcare, and a company share scheme.
- Other info: Enjoy a 6-week training programme and excellent career growth opportunities.
- Why this job: Be part of an innovative team transforming digital services and making a real impact.
- Qualifications: Experience in Java, Scala, or Python; knowledge of data processing platforms.
The predicted salary is between 30000 - 40000 £ per year.
As a Senior Data Engineer, you will design and develop large-scale data processing software, manage technical components, and mentor team members, while ensuring code quality and operational readiness.
Top Skills: AWS, Azure, Databricks, ETL, GCP, Java, Kafka, Python, Scala, SQL
Kainos is recognised as one of the leading AI and data businesses, with a decade-long track record of delivering impactful, production-grade AI solutions for clients across government, healthcare, defence and commercial sectors. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150+ strong AI and Data capability brings together deep expertise in machine learning, generative AI, agentic AI and data. We are an award-winning practice and pioneers in Responsible AI, and we partner with leading organisations to ensure AI is deployed responsibly and with measurable business value.
We are launching the latest edition of our Data & AI Academy. As a Data Engineer (Associate) in Kainos, you will work within a multi-skilled agile team to design and develop large-scale data processing software to meet user needs in demanding production environments.
WHAT TO EXPECT AS A DATA ENGINEER JOINING THE ACADEMY:
- 6-week training program internal and external on, but not limited to the following:
- Cloud concepts
- Databases
- ETL Flows monitoring
- Data visualisation
- Queueing Systems
- AI/ ML
- Agentic AI
- Data monitoring
MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS:
Working as part of a team, you will work alongside colleagues in engineering, testing, consulting, product management, and security capabilities to build, test and deploy software of the highest quality. You will assist in using the latest technologies to extract maximum user and business benefit. You will work with and learn from your colleagues fostering an open and inclusive culture. As your confidence grows, you will increasingly be contributing your views to ensure that services are scalable, secure, reliable, and performant. Getting services into production is just the beginning; the fun truly starts when real users begin interacting with the service you have built. You will assist in ensuring services are available, secure and performant as you actively make recommendations for continuous improvement.
Working to develop data processing software primarily for deployment in Big Data technologies, the role encompasses the full software lifecycle including design, code, test and defect resolution. Collaborating with colleagues to resolve implementation challenges and ensure code quality and maintainability remains high. Working with operations teams to ensure operational readiness. Working with other team members to advise on the estimated effort and possible technical implications of user stories and user journeys. You will develop effective habits for using modern engineering tools, including AI, to support learning, problem-solving, and day-to-day delivery tasks.
EXPERIENCE & PRACTICAL KNOWLEDGE:
Candidates are expected to demonstrate proven experience in some of the following areas, with practical working knowledge across others. A proven ability of strong team skills, including taking direction from others, is crucial.
- Software development experience in at least one of the following: Java, Scala, or Python.
- Software development experience with data-processing platforms, such as Azure, GCP, Databricks and AWS.
- Experience in SQL and SQL extensions for analytical queries.
- Experience in developing ETL/ELT data processing pipelines.
- Experience of working with data in various formats such as JSON and XML.
- Experience of working with contemporary data stores such as object stores, document stores, key-value store, search, RDBMS, graph.
- Experience in writing quality, testable code and automated testing.
- Experience with Continuous Integration and Continuous Deployment techniques.
DESIRABLE:
- Experience of performance tuning.
- Experience of data visualisation and complex data transformations.
- Understanding of data redaction implementations.
- Participation in development and/or technology communities.
WHAT WE OFFER:
- Competitive salary
- 6 weeks of training
- Company share scheme plan
- 35 days holiday (inclusive of bank holidays)
- Private healthcare (medical and dental cover)
- Refer-a-friend scheme (£3000)
- Home office set up cover - (£150 desk, £175 office chair)
- Access to further online training
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.
ABOUT US:
At Kainos, we use technology to solve real problems for our customers, overcome big challenges for businesses, and make people's lives easier. We build strong relationships with our customers and go beyond to change the way they work today and the impact they have tomorrow. Our two specialist practices, Digital Services and Workday, work globally for clients across healthcare, commercial and the public sector to make the world a little bit better, day by day.
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.
Data Engineer - Data Academy - Belfast employer: Hi Bob
Kainos is an exceptional employer that prioritises a people-first culture, fostering an environment where your ideas are valued and your professional growth is actively supported. With a competitive salary, extensive training opportunities, and a commitment to diversity and inclusion, Kainos offers a unique chance to work on cutting-edge AI and data solutions in the vibrant tech scene of Belfast, making a real impact on people's lives.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Data Academy - Belfast
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you to someone at Kainos.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data processing or cloud technologies. This is your chance to demonstrate what you can bring to the table, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding Kainos' values. Be ready to discuss how your experience aligns with their mission and how you can contribute to their innovative projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Kainos team and being part of something bigger.
We think you need these skills to ace Data Engineer - Data Academy - Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with AWS, Python, and ETL processes. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data and AI, and explain why you want to join our team at Kainos. Let us know how you can contribute to our mission.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from a previous job, we love seeing practical examples of your skills in action.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at Hi Bob
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like AWS, Azure, and Python. Brush up on your knowledge of ETL processes and data processing platforms, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects and how you overcame them. Kainos values problem solvers, so be ready to demonstrate your analytical thinking and creativity in tackling complex issues.
✨Emphasise Team Collaboration
Since the role involves working within a multi-skilled agile team, highlight your experience in collaborative environments. Share examples of how you’ve worked with others to achieve common goals and how you’ve mentored or supported teammates.
✨Ask Insightful Questions
Prepare thoughtful questions about the company culture, the Data Academy training programme, and the types of projects you might work on. This shows your genuine interest in the role and helps you assess if Kainos is the right fit for you.
