Data Engineer - Scalable ETL/ELT & API Integration

Infocura; Antwerpen; Hybride; EUR 60 000 - 100 000; Plein temps

Avantages offerts par ce poste

Team events

Weekend getaway

Hybrid work

Competitive pay

Résumé du poste

Infocura is seeking a Data Engineer to design and implement scalable data solutions across client projects in Belgium. You will define ETL/ELT flows, automate data transformations, and ensure high-performance data movement for BI and analytics.

You will collaborate with data architects and analysts to deliver robust pipelines, leveraging Python, SQL, Java, and cloud platforms like AWS, Azure, and IBM Cloud.

Qualifications

• Strong background in data engineering, including ETL/ELT, data modeling, and transformation scripting.
• Proficiency in Python, SQL, Java, or similar languages, with experience in cloud platforms (AWS, Azure, IBM Cloud) and API integrations.
• Knowledge of data architecture best practices, including security, performance optimization, and governance.
• Problem-solving mindset and strong communication skills in Dutch, with a collaborative, growth-oriented attitude.

Responsabilités

• Design and optimize data pipelines, ETL/ELT workflows, and data models for integration, transformation, and querying.
• Develop and manage API calls and data ingestion pipelines for seamless cross-platform connectivity.
• Work with cloud and on-prem solutions to store, process, and secure data effectively.
• Collaborate with teams to translate business needs into scalable data solutions and stay updated on industry advancements.

Connaissances

ETL/ELT

Data modeling

Transformation scripting

Python

SQL

Java

Cloud platforms

APIs

Data governance

Dutch language proficiency

Outils

AWS

Azure

IBM Cloud

Description du poste

Infocura is seeking a Data Engineer to design and implement scalable data solutions across client projects in Belgium. You will define ETL/ELT flows, automate data transformations, and ensure high-performance data movement for BI and analytics.

You will collaborate with data architects and analysts to deliver robust pipelines, leveraging Python, SQL, Java, and cloud platforms like AWS, Azure, and IBM Cloud.