Data Engineer
Il y a 2 jours
Antwerpen, Belgique
Vivid Resourcing Ltd
Temps plein
61 000 € - 73 000 € Contrat
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The company you’ll be joining is a fast-growing B2B product and technology organisation based in Mechelen, building data-driven solutions that help businesses operate more efficiently and make better decisions.
Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines powering B2B products, analytics, and operational processes.
- Build and optimise cloud-based data lakes, data warehouses, and modern data platforms.
- Integrate data from APIs, databases, SaaS platforms, IoT devices, and other enterprise systems.
- Develop robust data models and transformation layers that support product analytics, reporting, forecasting, and business intelligence.
- Ensure high standards of data quality, reliability, monitoring, governance, and orchestration across the data platform.
Your Profile
- 2–5 years of experience as a Data Engineer or in a similar data-focused engineering role.
- Strong hands‑on experience with Python and SQL.
- Proven experience building and maintaining production‑grade ETL/ELT pipelines.
- Experience with modern data technologies such as Databricks, Snowflake, dbt, Airflow, Microsoft Fabric, or similar.
- Practical experience with Azure, AWS, or GCP.
- Good understanding of Apache Spark and modern data platform architectures.
- Experience with Docker, Git, CI/CD, and ideally Kubernetes.
- Comfortable working in a product-led, agile environment and collaborating with software engineers, product teams, and business stakeholders.
- Experience with B2B products, SaaS, IoT, industrial, energy, or time‑series data is a plus.
- Strong communication skills and a collaborative, pragmatic mindset.
What's on Offer
- Salary of up to €6,000 gross per month, depending on experience.
- Company car or mobility budget.
- Hybrid working model with a modern office environment in Mechelen.
- Meal vouchers, group insurance, and hospitalisation insurance.
- Ongoing technical training and certification opportunities.
- Clear career progression towards Senior Data Engineer, Data Architect, or Tech Lead.
- Opportunity to work with modern technologies including Databricks, Snowflake, Microsoft Fabric, Azure, AWS, GCP, dbt, Airflow, and Spark.
- A chance to have a direct impact on the development of a growing B2B technology product and data platform.
- An opportunity to work in a collaborative, technically ambitious environment where data is central to the product and business strategy.