Senior Data Engineer (ETL)

Qualco Group

13h•Remote

About The Position

Quento Technologies, the ICT arm of the Qualco Group, is seeking a Senior Data Engineer (ETL) to support data modernization and engineering initiatives. Quento delivers solutions across AI, Digital Engineering, Cloud, and Cybersecurity, and operates in Greece, Luxembourg, and Belgium. The role supports the migration of legacy data systems to modern cloud platforms and the design, development, maintenance, and deployment of data integration pipelines. It also contributes to modernizing SAS-based workflows, consolidating data from multiple sources, and maintaining database structures for analytical and operational use. The position is performed offsite under a B2B contract.

Requirements

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, or a related field.
At least six years of professional practice in data management and software development following completion of university studies.
Strong background in software development and/or data engineering.
Advanced Python programming skills, including designing and implementing ETL/ELT solutions.
Strong knowledge of SQL and relational databases.
Hands-on involvement in database management and data integration activities.
Proven ability to develop data validation, transformation, and migration solutions.
Demonstrated contribution to migrations from legacy systems to cloud-based platforms.
Familiarity with version control systems such as Git.
Strong analytical, troubleshooting, and problem-solving skills.
Fluency in English at C1 level or higher according to the CEFR.

Nice To Haves

Knowledge of PySpark, Apache Spark, and Databricks.
Familiarity with Azure data services and cloud-based data platforms.
Knowledge of SAS and SAS-based data processing environments, including modernization or migration of SAS workloads to Azure-based platforms.
Familiarity with automated testing, CI/CD pipelines, and DevOps practices.
Exposure to international, multicultural, or regulated environments.

Responsibilities

Support the migration of legacy data collection and database systems to modern cloud-based data management platforms.
Design, develop, and maintain ETL/ELT and data integration solutions.
Develop and optimize Python scripts for data extraction, validation, transformation, and migration.
Support modernization of existing SAS-based data processing and reporting workflows.
Integrate and consolidate data from multiple sources into unified, reusable datasets and databases.
Design and optimize database structures that support analytical and operational workloads.
Conduct testing and quality assurance for new and existing solutions.
Support deployment, maintenance, and lifecycle management of data pipelines.
Collaborate with business stakeholders, data engineers, architects, and platform specialists.
Contribute to technical documentation, knowledge sharing, and continuous improvement initiatives.
Carry out activities in compliance with regulatory requirements and support implementation of the Group Anti-Bribery and Corruption Policy.