Junior Dev Ops Engineer

Grow your skills during the Early Career Program IT at Rabobank

Discover your potential during this program by working as a Junior AI Engineer at Tech4Developers and combining work with professional trainings.

This is what we offer you

• Gross monthly salary between €3,314 and €4,733 (scale 07)
• Thirteenth month's salary and 8% holiday allowance
• 10% Employee Benefit Budget
• EUR 1,400 development budget per year
• Hybrid working: balance between home and office work (possible for most roles)
• A pension, for which you can set the maximum amount of your personal contribution

You and your future

During the Early Career Program IT at Rabobank you work on your career by combining working in an IT department with training focused on soft- and hard skill development. For four days a week you will work as a Junior AI Engineer in the team: Tech4Developers. Next to this one day a week your focus will be on your own learning and development. Through both soft skill and technical trainings presented by professionals your start at Rabobank will be a success! After the 18-month program our goal is to continue working with you at Rabobank.

Tech4Dev is a dynamic area within Rabobank dedicated to pioneering technological advancements that drive innovation and operational excellence. As part of the Tech4Engineering tribe, Tech4Dev focuses on developing cutting-edge solutions that empower engineers and streamline workflows across the organization. Established in 2024, Squad Minerva is a specialized team within Tech4Dev that concentrates on delivering and promoting the adoption of Generative AI (GenAI) tools and services. Our mission is to empower engineers by enhancing their productivity and workplace satisfaction through innovative GenAI solutions.

We are looking for a passionate and motivated Junior AI Engineer to join our team. If you are eager to work and experiment with the latest GenAI technologies, we want to hear from you!

Responsibilities:

• Develop robust solutions for data wrangling and integration, ensuring they are maintainable and scalable to support evolving analytical needs.
• Processing and analyzing unstructured text data, including tasks such as data cleaning and assessing sensitivity levels.
• Apply foundational data science techniques and implement advanced solutions, including leveraging large language models (LLMs), Retrieval-Augmented Generation (RAG), Model-Centric Programming (MCP), and agentic systems, to enhance data-driven processes, generate insights, and support strategic decision-making.
• Collaborate on experiments involving Generative AI technologies, assisting in the exploration and validation of innovative solutions that push the boundaries of existing capabilities.
• Engage with stakeholders to translate complex data findings into compelling narratives. Collaborate in an agile environment with diverse professionals to develop effective solutions for their challenges.

Practical

• Length: Early Career Program IT, 18 months
• after which you will continue to work with us as Junior AI Engineer
• Starting date of the vacancy: September

Your development as a young professional

Within this program, you will have the opportunity to get to know yourself, the field, and Rabobank. The program lasts a total of 18 months. You will start the program in a junior position within one team, participate in workshops and training modules with other juniors, and quickly gain practical experience.

Together with others, there is room for creativity and initiative to organize events, training sessions, and knowledge-sharing sessions. This way, we continuously improve the program and ourselves! You will easily build a large and valuable network within the bank.

Your development as a starter

In the Rabobank Early Career Program IT, you will work on your personal development for 18 months. This includes personal leadership, relevant skills, and various themes such as sustainability, as well as learning how a bank operates. In addition to personal development, you will choose one of the IT tracks that suits you. In these tracks, you will focus more on the content of your role.

You will meet fellow starters from different departments weekly, and on other days you will work within your own team. Through business challenges and assignments, you will get to know a large part of the bank.

Learning from each other

Development is our top priority. Because the best way to learn is by doing, through mistakes and successes. At Rabobank we offer you the right balance between freedom and supervision. To develop talents you never thought you possessed. To specialize in a professional field or explore the things you're good at and enjoy doing. During your Early Career Program IT you can count on us for excellent supervision. You'll work with experienced colleagues and have lots of contact with young professionals.

“To advance the delivery and adoption of GenAI tools and services that will empower engineers, improving their productivity and workplace happiness” - Minerva Squad Motto

Work on your own development & shape the world around you

For us, your development and that of society go hand in hand. That's why we want to invest in you and work together towards a better world. We summarize this in one sentence: "At Rabobank, you work on yourself and the world around you at the same time."

This is reflected in your personal development budget, and a good balance between your work and home life. You can work on banking matters for our private and business clients, but also on societal issues such as food and energy transitions.

You and your talent:

Technical Skills

• You have a minimum of 1-2 years of work experience with at least one major cloud platform (e.g., AWS, Azure, or Google Cloud Platform).
• You have hands-on experience working with structured and/or unstructured data, including cleaning, transforming, and preparing datasets for analysis and model development.
• You are proficient in SQL for data extraction and manipulation, and experienced in using Python to build data pipelines, conduct analysis, and develop ai-native application.
• You have a track record of participating in or contributing to end-to-end data science projects, including data preparation, feature engineering, modeling, visualization and evaluation.
• You are familiar with applied machine learning, deep learning, and natural language processing (NLP) techniques in practical or research settings.
• You understand Generative AI concepts, with hands-on experience using LLM toolkits and libraries (such as Hugging Face Transformers, LangChain, or LlamaIndex).

Ways of Working

• You are familiar with agile development practices and tools/services for collaboration and automation, including Git, CI/CD workflows, and DevOps platforms.
• You are prepared to tackle technical challenges, including troubleshooting and debugging, and are comfortable navigating ambiguity and difficult problems.
• You are eager to learn and quick to adapt to new tools, changing project goals, and evolving technical directions.
• You are able clearly and effectively explain advanced technical concepts to both technical and non-technical audiences, using storytelling to make complex ideas understandable and relevant.