Senior Data Engineer – ETL

Job not on LinkedIn

🔥 14 hours ago

🇬🇷 Greece – Remote

⏳ Contract/Temporary

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 11%

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Logo of Qualco Technology

Qualco Technology

201 - 500 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Qualco Technology is the technology arm of Qualco Group that delivers AI-driven, end-to-end software for credit, lending and collections management. With 25+ years of experience and clients in 30+ countries, it provides SaaS platforms for loan origination and management, collections & recoveries, supply chain finance, analytics, and business automation. Qualco focuses on helping banks, creditors and financial institutions automate workflows, ensure compliance and optimise the full credit lifecycle to drive growth.

📋 Description

• 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 optimise Python-based scripts for data extraction, validation, transformation, and migration • Support the modernization of existing SAS-based data processing and reporting workflows • Integrate and consolidate data from multiple sources into unified and reusable datasets and databases • Design and optimise database structures supporting analytical and operational workloads • Conduct testing and quality assurance activities 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 • Ensure all activities and duties comply fully with regulatory requirements and support implementation of the Group Anti-Bribery and Corruption Policy

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, or a related field • Minimum six (6) years of professional practice, following completion of university studies, in data management and software development • Strong background in software development and/or data engineering • Advanced Python programming skills, including the design and implementation of 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 migration initiatives 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 (Common European Framework of Reference for Languages) • Knowledge of PySpark, Apache Spark, and Databricks • Familiarity with Azure data services and cloud-based data platforms • Knowledge of the SAS programming language 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

🏖️ Benefits

• This role is to be performed offsite under a B2B contract • Equal opportunity regardless of race, gender identity and expression, age, ethnicity, or disability • Personal data processed in accordance with the EU General Data Protection Regulation (GDPR)

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