Senior Data Engineer – ETL

Qualco Technology

. Support the migration of legacy data collection and database systems to modern cloud-based data management platforms .

Posted 10/16/2026contractRemote • GreeceSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data management and software development, with advanced skills in Python programming, ETL/ELT solutions, and SQL. Proven ability to migrate legacy systems to cloud-based platforms while ensuring compliance with regulatory requirements.

Highest-signal resume keywords

Advanced Python ProgrammingETL/ELT Solution DesignSQL and Relational DatabasesData Migration to Cloud PlatformsSAS Programming and Modernization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Integration SolutionsData Validation and TransformationDatabase ManagementData Pipeline Lifecycle ManagementAutomated TestingCI/CD PipelinesDevOps PracticesData ExtractionData Quality AssuranceAnalytical Workloads

Soft Skills

Analytical SkillsTroubleshooting SkillsProblem-Solving SkillsCollaborationKnowledge Sharing

Tools & Technologies

Azure Data ServicesPySparkApache SparkDatabricksVersion Control Systems (Git)

Industry Keywords

Cloud-Based Data ManagementRegulatory ComplianceAnti-Bribery and Corruption PolicyInternational EnvironmentsMulticultural Environments

Tech Stack

Tools & technologies

ApacheAzureCloudETLPySparkPythonSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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)