Data Engineer

Fincons Group is an IT business consulting company that has been designing the digital future of leading companies on international markets for 40 years. Fincons Group built its reputation on foreseeing and interpreting new business models and the rapid evolution of IT systems by building a complete range of services: from research and consulting to design and development, from system integration of leading vendor software solutions right up to application management, supporting clients step by step along their digital transformation journey. Fincons is a multinational with over 2,600 people and several offices worldwide (in Italy, Switzerland, Germany, France, the United Kingdom, Belgium and the USA), but above all a Family Company where the founders play a strategic role with commitment and passion, grounding the company in the same principles of a united and caring family.

We firmly believe in the value of cooperation and in the contribution that every idea and intuition can bring. We believe that everyone's effort can make a difference. Transforming knowledge into a strategic resource is our company mission, and we pursue it with the help of our most strategic asset: our people.

Fincons is looking for a DATA ENGINEER

TASKS

• Develop, deploy, and maintain scalable data pipelines from REST APIs using Python, SQL, and ETL tools (Azure Synapse) to ingest, transform, and prepare data.

• Process and transform complex JSON and GIS data into structured datasets optimized for analysis and reporting. This includes parsing, transforming, and validating JSON data to ensure data quality and consistency.

• Load and organize processed data into cloud-based Azure Data Lake storage ensuring accessibility and performance.

• Document ETL processes, metadata definitions, data lineage, and technical specifications to ensure transparency and reusability.

• Collaborate with data analysts, BI developers, and business stakeholders to understand data requirements and deliver reliable, well-documented datasets aligned with organizational needs.

• Implement data quality checks, logging, and monitoring within data pipelines to support maintainability and troubleshooting.

REQUIRED KNOWLEDGE AND EXPERIENCE

Following skills and knowledge are required for the performance of the above listed tasks:

• Excellent knowledge of data engineering tools such as Python and Azure Synapse Analytics

• Excellent knowledge of working with REST APIs, including ingestion and parsing of JSON and GIS data

• Excellent knowledge of Azure data lake storage and Oracle database

• Ability to implement robust data quality checks, logging, and monitoring in ETL processes

• Ability to document ETL workflows, metadata, and technical specifications clearly and consistently

• Familiarity with DevOps and version control best practices. Experience with CI/CD pipelines

• Analysis and problem solving skills

• Ability to participate in technical meetings and good communication skills

SPECIFIC EXPERTISE

• at least 5 years of excellent knowledge in Azure data lake storage and Oracle databases

• at least 5 years of excellent expertise in developing data pipelines from REST APIs and on integration (such as Python, Azure Synapse, SQL)

• at least 5 years of excellent expertise in processing JSON and GIS data

English (C1) required

Office: Brussels

modality of work: near-site

If interested, please apply!

Our personnel search is addressed to candidates of all genders.

The data will be processed and stored exclusively for the purposes of this or future selections, in compliance with the Federal Data Protection Law (LPD) and guaranteeing the rights referred to in art. 13 Legislative Decree 196/03 and EU regulation 679/2016 (GDPR)