Data Engineer

As a Data Engineer at Conclusion Intelligence, you build the foundations that make data-driven solutions possible. You design, develop, and operate scalable data platforms that enable analytics, AI, and software applications to perform reliably and efficiently.

You work in a dynamic, international, and client-facing environment. One day you collaborate closely with Data Scientists and Architects to design a new data pipeline; the next, you help a customer optimize performance, reliability, or data quality in their cloud platform. You understand how data flows through organizations and how ingestion, storage, transformation, governance, and security must work together.

Your focus is on creating robust, maintainable, and future-proof data solutions. You work with batch and streaming data, modern cloud platforms, and evolving architectures such as Lakehouse or event-driven designs. Quality is non-negotiable: you ensure solutions are observable, compliant (e.g. GDPR), cost-aware, and ready to scale.

As you grow, your role expands beyond implementation. You actively advise customers, contribute to architectural decisions, and help strengthen CI’s data engineering practices. You will join a team of experienced, international colleagues who value craftsmanship, collaboration, and clear communication. You report to the Service Line Manager, Decision Intelligence., We are looking for a Data Engineer with a strong technical foundation and a pragmatic, solution-driven mindset. You enjoy building reliable data platforms, working closely with different disciplines, and helping customers turn data into tangible business value.

• Have several years of experience as a Data Engineer or in a comparable role within complex environments
• Design, build, and maintain scalable cloud-based data platforms, primarily on Azure (experience with AWS or GCP is a plus)
• Develop and operate ETL/ELT pipelines, data models, and storage layers such as data lakes, warehouses, or lakehouses
• Work confidently with SQL and Python or Scala, and apply modern data engineering tools and frameworks (e.g. Databricks, Spark, Data Factory, Airflow, dbt)

• Embed quality by design: performance, reliability, security, observability, and GDPR-compliant data handling are standard in your work

• Collaborate effectively with Data Scientists, Architects, BI specialists, and business stakeholders, and communicate technical choices clearly
• Make pragmatic engineering decisions, balancing innovation with simplicity and long-term maintainability
• Communicate fluently in English and Dutch
• The ability to identify risks related to performance, security, scalability, and maintainability, and propose solid alternatives
• Hybrid working is part of the role; flexibility to work from the office and at client locations is required, and a valid driver’s license is essential

• At Conclusion Intelligence, you’ll be part of a multidisciplinary, international team, working on exciting and complex projects that challenge your talents and elevate your skills.
• You’ll collaborate with top experts in the field, continuously growing, not just as a professional, but as a person.
• As an international IT company, we combine a young, dynamic team culture with a rich history of excellence.
• You’ll develop smart solutions that create real value for our customers, using state-of-the-art technology every day.
• Fixed training budgets? Not here! You receive the training and certifications you need to be among the best in your field.
• Our clients range from startups to global multinationals, spanning various industries and countries.

• We believe in continuous learning, and you’ll have opportunities to develop and share knowledge-both internally and externally.

• As a Microsoft Solutions Partner, you’ll get access to the latest technologies, workshops, and certifications.
• Tailor-made employment policies - You choose what suits you best: more time, mobility, or cash.
• A modern, well-equipped, and inspiring office space that fuels creativity and collaboration.
• Hybrid working & flexible hours - Because we value work-life balance.
• We foster a culture of innovation, empowering our people to take ownership and drive excellence in everything they do, while embracing agility to adapt and grow-always with a commitment to being fair to our colleagues, customers, and partners.
• And last but not least… we know how to throw a great party!