Senior Data Engineer (ETL)

Employers from Greece; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Quento Technologies, an ICT arm of Qualco Group, seeks a Senior Data Engineer (ETL) to design, develop, and optimize ETL/ELT solutions. You will migrate legacy data systems to modern cloud platforms, build data pipelines, and collaborate with stakeholders to ensure scalable data management across regulatory environments.

Strong Python and SQL skills are essential. Ideal candidates will have 6+ years of data engineering experience, SAS knowledge, and familiarity with PySpark and Azure data

Qualifications

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

Responsibilities

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

Skills

Python

SQL

ETL/ELT

Data integration

Data migration

Analytical thinking

Problem-solving

Git

English proficiency

CI/CD

Education

Bachelor's degree in CS/Engineering/Data Science/Info Systems/Math

Tools

SAS

PySpark

Azure data services

Databricks

Git

Job description

at Qualco Group

At Quento, the ICT arm of the Qualco Group, we deliver comprehensive and innovative solutions across AI, Digital Engineering, Cloud, and Cybersecurity, helping businesses accelerate digital transformation. With a presence in Greece, Luxembourg, and Belgium, and backed by the expertise of the Qualco Group, we combine deep technical knowledge with strategic partnerships to support business growth.

At Quento, we empower our people to innovate and lead in delivering transformative ICT solutions to our clients worldwide. Our high-performing, dynamic, and collaborative environment f osters professional growth at every stage.

Quento Technologies seeks a highly motivated Senior Data Engineer (ETL):

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 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
• Ensuring that all activities and duties are carried out in full compliance with regulatory requirements and supporting the continued 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)

Advantageous:

• 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

Your race, gender identity and expression, age ethnicity or disability make no difference in Quento we want to attract, develop, promote, and retain the best people based only on their ability and behavior.