Consultant - Data Engineer (Azure & AWS)

You design and build the data platforms that everything else depends on: reliable pipelines, clean models, and data that arrives in the right place at the right time. Working closely with architects, analysts and business stakeholders, you turn raw, heterogeneous data into trusted, high-value datasets.

You take ownership of ingestion, transformation and data quality end-to-end, applying cloud engineering and automation best practices to deliver solutions that are scalable, secure and resilient, whether the platform runs on Azure, AWS, or both.

What will you do?

Solution Design & Delivery

• Translate business requirements into scalable cloud data solutions on Azure and/or AWS.
• Design, build and maintain ETL/ELT pipelines using Databricks and Spark.
• Model and manage data in Snowflake, applying performance and cost-optimisation best practices.

Platform & Data Engineering

• Build lakehouse and warehouse architectures that support reporting and advanced analytics.
• Integrate structured and semi-structured data from multiple sources.
• Ensure pipelines are reliable, secure and monitored, with data quality controls throughout.
• Automate and orchestrate workflows (CI/CD, scheduling, monitoring).

Collaboration & Improvement

• Work alongside data scientists, engineers and architects to deliver end-to-end solutions.
• Contribute to internal data standards, governance and technical best practices at Exsolvæ., * Meaningful, high-impact data projects with real business stakes.
• A €2,000 annual Knowledge & Networking budget for certifications and conferences.
• A secure GenAI workspace through our OpenAI partnership, plus expert-led sessions and current tooling from day one.
• A community of data professionals to learn from and grow with, including our internal Cerebro Sessions.
• A hybrid, flexible working model.

We are currently looking for an experienced Data Engineer with strong hands-on expertise in Databricks and Snowflake across both Azure and AWS environments., * 4+ years of hands-on experience in data engineering roles.

• Strong expertise in Databricks and Spark for distributed data processing.
• Solid hands-on experience with Snowflake, including modelling and performance tuning.
• Experience delivering on Azure and/or AWS cloud infrastructure.
• Advanced SQL and Python, with a focus on efficient, maintainable, production-ready code.
• Experience with data warehousing, dimensional modelling and lakehouse architecture.
• Experience with workflow orchestration and CI/CD (e.g. Airflow, dbt, Azure Data Factory).
• Strong communication skills and the ability to work effectively in client-facing, cross-functional teams.

Preferred Skills

• Experience across both Azure and AWS in the same delivery.
• Familiarity with streaming or event-driven architectures (e.g. Event Hubs, Kafka, Kinesis).
• Experience with Power BI or similar reporting tools.
• Databricks, Snowflake or cloud certifications (Azure/AWS).

Languages

Professional proficiency in English is required, along with fluency in Dutch or French.

Exsolvæ is a Brussels-based consultancy specialised in Data, Analytics and Artificial Intelligence. We support organisations through advisory services, technical audits and end-to-end solution delivery, helping them modernise and scale their data capabilities. Our activity is structured around three areas: Data Foundations, Data Science & AI, and BI & Analytics. Our consultants, known as Solvers, combine technical excellence with a strong learning mindset. We invest heavily in innovation, collaboration and knowledge sharing to consistently deliver meaningful, sustainable impact for Belgian enterprises across finance, insurance, pharma, retail and energy.