Senior Data Engineer

Solita Oy; Belgique; Sur place; EUR 55 000 - 75 000; Plein temps

Avantages offerts par ce poste

Meal vouchers

Flexible mobility budget

Health insurance

Training and development programs

Résumé du poste

Solita Oy is searching for a Senior Data Engineer to join their team in Belgium. In this role, you will design and implement scalable data pipelines and platforms that support analytics and data products, utilizing technologies like Databricks and various cloud services.

The successful candidate will have considerable experience in data engineering and a solid understanding of cloud platforms. This position offers flexibility in working arrangements and opportunities for professional development.

Qualifications

• Several years of experience designing and building production-grade data pipelines.
• Strong experience with a major cloud platform (Azure, AWS, GCP).
• Experience with data modeling techniques.

Responsabilités

• Design and build scalable data platforms and pipelines.
• Implement data pipelines on cloud platforms.
• Consult with customers on data architecture.

Connaissances

Cloud data engineering

Data pipeline design

CI/CD processes

Python

SQL

Outils

Databricks

Terraform

Docker

Description du poste

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.

• Structured learning path for Databricks (self‑study material, internal trainings, certifications)
• Hands‑on learning in projects together with experienced Databricks engineers
• Support from our Databricks community and peers across countries
• Possibility to deepen into topics like Lakehouse architectures, Delta Lake, and Spark optimization over time

If you already have Databricks experience, that’s a strong plus – but it’s absolutely not a blocker if you don’t.

What helps you succeed in this role

• Several years of hands‑on experience designing and building production‑grade data pipelines and cloud data platforms
• Strong experience with at least one major cloud platform (Azure / AWS / GCP)
• Experience building data infrastructure using IaC tools (e.g., Terraform, Bicep, CloudFormation)

Data technologies

• Hands‑on experience with modern data platforms and tools such as Databricks, Snowflake, Spark, Delta Lake, or cloud‑native data services
• If you don’t yet have Databricks experience, you bring strong skills in similar technologies (e.g., Spark, data warehouses, cloud data services) and are motivated to learn Databricks with our support
• Proficiency in Python and SQL
• Experience with Scala, Java, or C# is beneficial
• Experience with data modeling techniques (e.g., dimensional modeling, Data Vault, wide tables, or similar)
• Understanding of data architecture principles and best practices

DevOps & ways of working

• Familiarity with CI/CD processes, Infrastructure‑as‑Code, and DevOps ways of working (e.g., Docker, Kubernetes, Git, automated testing)

Consultative approach

• Ability to listen, discuss, and translate business requirements into robust data solutions
• Comfortable working in a customer‑facing, collaborative environment

Languages

• Fluent in French or Dutch, and English

Experience with AI/ML workloads

Experience with AI/ML workloads (feature pipelines, model‑serving data, MLOps) is a plus, but not required. Curiosity about how data platforms enable AI is more important than being an AI specialist yourself.

What we offer

• Challenging, meaningful and impactful projects with a wide variety of clients
• A diverse community of 400+ data and integration professionals who love to learn, challenge and support each other. You won’t be left alone.
• A relaxed, caring and trust‑based culture where you can be yourself.
• A workplace with both freedom and responsibility. That’s what our employees see as one of the biggest benefits at Solita.
• Mentoring, coaching, and cross‑unit learning opportunities to grow your expertise through Solita’s multidisciplinary collaboration, long‑term client work, or domain specialization (e.g., Retail, Industrial, Health).
• A clear path to grow your Databricks and cloud data platform expertise, including access to trainings and certifications.
• Flexible Mobility: Choose between a company car or a flexible mobility budget to suit your lifestyle.
• Daily Perks: Benefit from meal vouchers and a representation allowance.
• Comprehensive Health & Security: We provide robust group insurance and hospitalization insurance (Alan), offering peace of mind with access to online medical consultations whenever you need them.
• Well‑being Support: Our dedicated Auntie well‑being platform is there for you, offering support during challenging times.
• Modern Work Tools: Get set up for success with your choice of a Mac or Lenovo laptop and a mobile phone budget.
• Time Off: Enjoy 20 official holidays plus an additional 12 days (40 hour week), giving you well‑deserved time to recharge.
• Flexible Work: We embrace modern work styles, offering homeworking possibilities in alignment with customer needs, allowing you to achieve a great work‑life balance.

By submitting application, I understand that my personal data will be used by Solita Group to manage the recruitment process and evaluate my suitability for employment.

Read more about Solita’s data protection practices in recruitment context.

At Solita, we are committed to equality, diversity, and non‑discrimination. We aim to create a workplace where everyone feels welcome, valued and respected. In our recruitment processes, we evaluate candidates based on competence, skills and potential.