Data Engineer

Vivid Resourcing; Antwerpen; Hybride; EUR 40 000 - 67 000; Plein temps

Avantages offerts par ce poste

Company car or mobility budget

Hybrid work model

Meal vouchers

Group insurance

Hospitalisation insurance

Technical training opportunities

Career progression

Résumé du poste

Vivid Resourcing is partnering with a fast-growing B2B product and technology organisation based in Mechelen to hire a Data Engineer.

You will design, build, and maintain scalable ETL/ELT pipelines, data lakes, warehouses, and modern data platforms using Databricks, Snowflake, dbt, Airflow, and cloud providers.

In a product-led, agile environment, you’ll work with Python, SQL, Docker, Git, and CI/CD in a hybrid office setting, with opportunities to grow toward senior roles and data architecture.

Qualifications

• 2–5 years of experience as a Data Engineer or 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 Databricks, Snowflake, dbt, Airflow, Microsoft Fabric, or similar.
• Practical experience with Azure, AWS, or GCP.
• Good understanding of Apache Spark and modern data platforms.

Responsabilités

• 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 BI.
• Ensure high standards of data quality, reliability, monitoring, governance, and orchestration across the data platform.

Connaissances

Python

SQL

ETL/ELT pipelines

Databricks

Snowflake

dbt

Airflow

Microsoft Fabric

Azure

AWS

GCP

Apache Spark

Docker

Git

CI/CD

Kubernetes

English

Description du poste

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.
• Fluent in English.

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.