As a Data Engineer within an innovative SaaS company, you will design, build, and maintain scalable data infrastructure that powers product analytics and data-driven decision-making.Responsibilities- Build and optimize ETL/ELT workflows for large-scale structured and unstructured application, customer, product, and operational datasets.- Integrate and manage data from multiple sources, including SaaS applications, product databases, customer platforms, APIs, third-party services, and internal systems.- Ensure data quality, consistency, and reliability across data platforms through validation, monitoring, testing, and governance processes.- Develop scalable data models, warehouse structures, and semantic layers to support analytics, reporting, experimentation, and machine learning initiatives.- Support both real-time and batch data processing pipelines using modern data engineering tools and cloud-native technologies.- Design and maintain data infrastructure that enables self-service analytics and efficient data consumption across technical and business teams.- Contribute to cloud-based data architecture and platform development using AWS, Azure, or GCP.Your Profile- 2–5+ years of experience in Data Engineering, Analytics Engineering, Data Platform Engineering, or a related field.- Strong programming skills in Python and/or Scala/Java for data processing and automation.- Solid experience with SQL and designing scalable, high-performance data models.- Hands-on experience building ETL/ELT pipelines and working with large-scale datasets in cloud environments.- Experience with modern data warehousing solutions such as Snowflake, BigQuery, Redshift, or Databricks.- Familiarity with cloud platforms such as AWS, Azure, or GCP.- Experience with tools such as Airflow, Spark, Kafka, dbt, Databricks, or similar technologies is a strong advantage.- Understanding of SaaS business models, product analytics, customer data, subscription metrics, or application telemetry is highly beneficial.- Experience supporting data-driven product development and analytics initiatives is considered a plus.The Offer- Hybrid working setup with offices located in Leuven.- Opportunity to contribute to a modern, data-driven SaaS platform serving a growing customer base.- Strong emphasis on technical development, modern data architecture, and scalable cloud-native systems.- Competitive salary package of up to €6,000 depending on experience and interview performance.- Company car or mobility budget included.- 13+ ADV days.- Clear pathways for progression into Senior Data Engineer, Data Architect, Staff Engineer, or Engineering Leadership positions.- Collaborative and high-performing team focused on building innovative software solutions through data.If this opportunity excites you, apply today or send your CV and a short cover letter to ryan.martin@vividresourcing.com.