Data Engineer

Vivid Resourcing Ltd; Antwerpen; Hybride; EUR 61 000 - 73 000; Plein temps

Résumé du poste

Vivid Resourcing Ltd is seeking a Data Engineer to design, develop, and maintain scalable ETL/ELT pipelines powering a growing B2B product and analytics platform.

You will work with Databricks, Snowflake, dbt, Airflow, and Fabric across Azure, AWS, or GCP, in a product-led, agile environment. Collaboration with software engineers and stakeholders is essential.

Qualifications

• 2–5 years of experience as a Data Engineer or similar role.
• Strong hands-on experience with Python and SQL.
• Production-grade ETL/ELT pipelines experience.
• Experience with Databricks, Snowflake, dbt, Airflow, Fabric or similar.
• Practical experience with Azure, AWS, or GCP.
• Understanding of Apache Spark and data platform architectures.
• Experience with Docker, Git, CI/CD; Kubernetes is a plus.
• Comfortable in a product-led, agile environment.
• Experience with B2B products, SaaS, IoT or time-series data is a plus.

Responsabilités

• Design, develop, and maintain scalable ETL/ELT pipelines powering B2B products, analytics, and operations.
• Build and optimise cloud-based data lakes, data warehouses, and modern data platforms.
• Integrate data from APIs, databases, SaaS, IoT, and other enterprise systems.
• Develop data models and transformation layers supporting analytics, reporting, and BI.
• Ensure high standards of data quality, reliability, monitoring, governance, and orchestration.

Connaissances

Strong communication

Collaborative mindset

2–5 years of experience

Python

SQL

Outils

Databricks

Snowflake

dbt

Airflow

Microsoft Fabric

Azure

AWS

GCP

Docker

Git

CI/CD

Kubernetes

Spark

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.

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.