Senior Data Engineer – ETL

This is a fully remote position, open to applicants in Greece.

📋 Description

• Assist in the transition of legacy data collection and database systems to contemporary cloud-based data management solutions.

• Design, create, and maintain ETL/ELT and data integration frameworks.

• Develop and enhance Python scripts for data extraction, validation, transformation, and migration.

• Aid in the modernization of current SAS-based data processing and reporting procedures.

• Merge and unify data from various sources into consolidated and reusable datasets and databases.

• Design and refine database architectures to support analytical and operational tasks.

• Perform testing and quality assurance for both new and existing solutions.

• Assist in the deployment, upkeep, and life cycle management of data pipelines.

• Work collaboratively with business stakeholders, data engineers, architects, and platform experts.

• Contribute to technical documentation, knowledge dissemination, and continuous improvement efforts.

• Ensure all activities and responsibilities adhere fully to regulatory standards and support the implementation of the Group Anti-Bribery and Corruption Policy.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, or a similar discipline.

• At least six (6) years of professional experience, following the completion of university education, in data management and software development.

• Strong expertise in software development and/or data engineering.

• Advanced skills in Python programming, with experience in designing and implementing ETL/ELT solutions.

• In-depth knowledge of SQL and relational databases.

• Practical experience in database management and data integration tasks.

• Proven capability in developing solutions for data validation, transformation, and migration.

• Demonstrated involvement in migration projects transitioning from legacy systems to cloud-based platforms.

• Familiarity with version control systems like Git.

• Strong analytical, troubleshooting, and problem-solving abilities.

• Proficiency in English at C1 level or higher according to the CEFR (Common European Framework of Reference for Languages).

• Knowledge of PySpark, Apache Spark, and Databricks.

• Familiarity with Azure data services and cloud-based data environments.

• Understanding of the SAS programming language and SAS-based data processing frameworks, including the modernization or migration of SAS workloads to Azure-based platforms.

• Familiarity with automated testing, CI/CD pipelines, and DevOps methodologies.

• Experience in international, multicultural, or regulated settings.

🏝️ Benefits

• This position is to be carried out remotely under a B2B contract.

• Commitment to equal opportunity regardless of race, gender identity and expression, age, ethnicity, or disability.

• Personal data processed in compliance with the EU General Data Protection Regulation (GDPR).