Trainee Technologist (Gdansk) - July 2026 Start Date at Kainos

Gdańsk, Pomeranian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

19 Apr, 26

Salary

8000.0

Posted On

19 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Programming, Software Development, Quality Assurance, Data, AI, Low Code, Cloud Platforms, DevOps, Automation, Agile, Communication, Problem Solving, Teamwork, Adaptability, Curiosity, Learning

Industry

IT Services and IT Consulting

Description

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. SALARY: 8000 PLN gross / month ROLE: Trainee Technologist JOB PROFILE DESCRIPTION MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS As a Trainee Technologist with Kainos, you’ll work on projects that make a real difference to people’s lives – including the lives of people you know. You’ll start your journey with our 8-week AI-first Technologist Academy, where you’ll build strong foundations in modern engineering practices, cloud platforms, quality assurance, low-code development, and data & AI. After the academy, you’ll join our Early Careers Programme where you’ll gain hands-on experience across different roles, supported by experienced mentors and real project work. You will also continue to develop your technical, professional and business skills during this time. At Kainos, we operate in a fast-moving, dynamic environment, so adaptability, curiosity, and a willingness to learn are key. You’ll have the opportunity to work across different teams, projects, and business units, developing the skills to become one of our future technical leaders. What You’ll Experience Software Engineering You’ll learn to design, build, and maintain high-quality software solutions using modern programming languages and frameworks. Expect to work on scalable, secure applications that deliver real value to users. Test / QA Engineering You’ll develop skills in automated and manual testing, ensuring the quality and reliability of our solutions. You’ll learn how to embed quality into every stage of the development lifecycle. Data & AI You’ll explore how data and AI can transform services, from building data pipelines to applying machine learning and generative AI to solve real-world problems. Low Code You’ll use low-code platforms to rapidly deliver business solutions, learning how to combine speed with maintainability and integration best practices. Platforms You’ll gain experience in cloud infrastructure, DevOps, and automation, ensuring our solutions are secure, scalable, and performant. Upon Completion You’ll graduate from the Early Careers Programme with a broad technical foundation and the skills to shape our future. Many of our leaders started their careers this way – in fact, 11 of our 17 leadership team members are Early Careers alumni! You Will Be: Developing high-quality solutions that impact users worldwide Working as part of a team to solve problems and deliver innovative software Learning new technologies and approaches with support from talented colleagues Contributing to real projects, from design through to deployment Working in Agile teams to deliver value iteratively and collaboratively Building excellent technical, teamwork, and communication skills MINIMUM (ESSENTIAL) REQUIREMENTS: Currently studying on 3rd (last) year of bachelor's degree or already graduated Familiarity with at least one programming language Understanding of the software development lifecycle from studies or experience Ability to make effective decisions with team support in a fast-paced environment We all work in teams here in Kainos – so a proven ability of strong team skills, including taking direction from others, is crucial English language knowledge – at least B2 level Strong communication and problem-solving skills A collaborative mindset and willingness to learn Demonstrated willingness to learn generative technologies (such as Generative AI tools) to drive innovation, streamline processes, or deliver impactful results within the role DESIRABLE: Exposure to cloud platforms, test automation, or data tools Experience working on projects (academic or personal) that demonstrate curiosity and initiative THINGS TO KNOW BEFORE APPLYING: Working Arrangements: Upon joining, you will be expected to work in your contracted office for 5 days per week for the duration of the 8 week AI-First Technologist Academy. After which, you can work hybrid in agreement with your People Manager. Ensuring you are available to attend the office or client sites when required to do so. Travel expectations: At Kainos, we work with a diverse range of clients and some of our projects require travel. If travel were required, we will endeavour to keep this to a minimum and ensure sufficient notice is provided. Popularity of scheme: We’re looking forward to receiving and reviewing your application. We strongly encourage you to apply early. If a high number of applications are received, this role may close earlier than the advertised deadline. In cases where a large volume of applications is received, the recruitment team will apply enhanced criteria to refine the shortlisting process. Completing your application: We recommend avoiding the LinkedIn quick apply function, as it may alter the format of your CV and exclude important details. Instead, please apply directly via the Kainos Careers website: Your Kainos story starts here Please note that the application process is two parts, completing a questionnaire and uploading your CV. It is important that you complete the questionnaire in full, to the best of your ability. Once the role closes, the Job Description will no longer be accessible. We recommend saving a copy in advance. We expect virtual assessments to take place in March 2026. The start date is 27 July 2026. *Dates are subject to change due to business needs If you have any questions, please get in touch with the Kainos Early Careers Talent Acquisition Team: earlycareers@kainos.com 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. 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. Our people love the exciting work, the cutting-edge technologies and the benefits we offer. That’s why we’ve been ranked in the Sunday Times Top 100 Best Companies on numerous occasions. For more information, see kainos.com.

Responsibilities

As a Trainee Technologist, you will work on projects that impact people's lives and participate in an 8-week AI-first Technologist Academy to build foundational skills. You will gain hands-on experience across different roles and continue to develop your technical and professional skills.