Data Engineer

Vivid Resourcing

Leuven, Belgium

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Compensation

€72,000.0

Working hours

Regular working hours

Languages

English

Job source

www.adzuna.be

Tech stack

Application Programming Interfaces (APIs) Airflow Amazon Web Services Data Analysis Microsoft Azure Cloud Computing Cloud Database Databases Continuous Integration Data Infrastructure Extract Transform Load (ETL) Data Warehousing

+11 more

Python (Programming Language) Standard Sql Enterprise Software Applications Snowflake Apache Spark Git Microsoft Fabric Kubernetes Data Pipelines Docker Databricks

Job description

Design, develop, and maintain scalable ETL/ELT pipelines.
Build and optimise cloud-based data lakes, data warehouses, and modern data platforms.
Integrate data from APIs, databases, IoT devices, and enterprise systems.
Develop reliable data models supporting analytics, forecasting, and business intelligence.
Ensure data quality, monitoring, governance, and orchestration best practices.
Contribute to cloud-native development, CI/CD, automation, and infrastructure improvements.

Requirements

2-5 years of experience as a Data Engineer or in a similar role.
Strong Python and SQL skills.
Experience building production ETL/ELT pipelines.
Hands-on experience with Databricks, Snowflake, dbt, Airflow, Microsoft Fabric, or similar technologies.
Experience with Azure, AWS, or GCP.
Knowledge of Apache Spark and modern data platform architectures.
Experience with Docker, Git, CI/CD, and Kubernetes is an advantage.
Experience with energy, IoT, industrial, or time-series data is a plus.
Excellent communication skills and a collaborative mindset.
Fluent in English.

Benefits & conditions

Salary up to €6,000 per month, depending on experience.
Company car or mobility budget.
Hybrid working model based in Leuven.
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.
Opportunity to work on real-world energy and sustainability challenges in a growing technology environment.