Senior Data Engineer

{"lang": "en","role": ["Data, AI & Analytics"],"country": ["Belgium"], "image": "https://www.solita.fi/wp-content/uploads/2025/05/Open-positions-Belgium-2025-5.jpg","intro": "Looking for Senior Data Experts to become a data champion together with us"}

In Solita’s AI, Analytics & Agents community, we support our customers throughout their data journey, from building robust data foundations to enabling data-driven decision-making across the organization. We believe that impactful data solutions are created through multidisciplinary collaboration, combining solid data engineering practices, modern cloud technologies, and scalable architectures.

Our data platforms increasingly run on Databricks and modern Lakehouse patterns. You don’t need to be a Databricks expert yet, if you bring strong cloud data engineering skills, we’ll help you grow into a Databricks specialist through a clear learning path and hands-on project work.

We take a holistic approach to our customers’ challenges and help them build sustainable, production-ready data solutions that enable analytics, insights, and – where relevant – AI capabilities.

Your role in a nutshell

As a Data Engineer, you will design and build scalable data platforms and pipelines that power analytics and data products – and increasingly, Databricks-based Lakehouse solutions. Your work will include developing robust data architectures, implementing data pipelines, and building the foundations that other teams (analytics, data science, AI) can rely on.

You will be involved in all phases of projects: from understanding data requirements and architecture design to production deployment and continuous improvement.

In practice, your work will include:

• Designing and implementing scalable, production-grade data pipelines (batch and/or streaming) on cloud platforms (Azure, AWS, GCP)
• Building and maintaining modern cloud data platforms using technologies such as Databricks (or, depending on the customer, Snowflake, Azure Synapse, or AWS data services)
• Implementing data modeling approaches (e.g., Data Vault 2.0, dimensional modeling, or schema-on-read patterns)
• Ensuring data quality, governance, security, and performance optimization across the data platform
• Consulting and providing technical guidance to customers on data architecture and platform strategy
• Working as part of a team of experienced data engineers, architects, and data professionals

Solutions are built collaboratively, but in this role you will have the opportunity to take ownership and influence data architecture and solution design from the very beginning.

Your Databricks growth path at Solita

You are not required to know Databricks on day one. What matters most is solid data engineering experience and willingness to learn.