About the Company
Our client is a fast-growing company specialised in SaaS and CRM solutions, supporting international clients with data-driven platforms and scalable cloud architectures. To strengthen their data team, they are looking for a skilled Data Engineer with strong AWS expertise and hands-on experience with Databricks.
Role & Responsibilities
As a Data Engineer, you will play a key role in designing, building, and maintaining scalable data platforms in the cloud.
Your responsibilities include:
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Design, build, and maintain data pipelines on AWS
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Develop and optimise ETL/ELT workflows using Databricks
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Work with large-scale, structured and unstructured datasets
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Ensure data quality, reliability, and performance
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Collaborate with data analysts, data scientists, and product teams
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Support data modelling and analytics use cases for SaaS & CRM products
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Participate in architecture discussions and continuous improvement initiatives
Required Skills & Experience
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Minimum 3 years of experience as a Data Engineer
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Strong hands-on experience with AWS (e.g. S3, Glue, Redshift, Lambda, EMR, etc.)
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Databricks experience is a must-have
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Proficiency in Python and/or SQL
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Experience building scalable data pipelines and cloud-based architectures
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Good understanding of data warehousing and data lake concepts
Nice to Have
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Knowledge of Apache Spark
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Understanding of data modelling concepts (star schema, snowflake, dimensional modelling)
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Experience with BI tools (e.g. Power BI, Tableau, Looker, or similar)
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Experience with CI/CD for data pipelines
Language & Work Environment
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English is the working language
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Hybrid work model with on-site presence in Brussels
