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2 часа назад

Data Engineer (Python)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Greece
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (Python) (ETL/Data Integration): Building data ingestion and preprocessing pipelines, SQL transformations, reconciliation controls, and reusable Python processing components with an accent on enterprise data integration, validation, and database performance. Focus on implementing idempotent incremental processing, matching and discrepancy logic, schema structures, and reliable pipeline execution.

Location: Athens, Attica, Greece; hybrid workplace

Company

Quento Technologies S.A. is the ICT arm of hirify.global, delivering AI, digital engineering, cloud, and cybersecurity solutions for business digital transformation.

What you will do

  • Develop and configure source ingestion and preprocessing pipelines.
  • Implement SQL transformations, reconciliation rules, validation logic, and persistence of reconciliation results.
  • Build reusable data processing components and Python scripts for file handling, transformation, validation, and automation.
  • Design source-to-target mappings, data standardization, matching algorithms, and discrepancy identification.
  • Optimize database queries and pipeline execution, including incremental loading, error handling, restartability, and idempotent processing.
  • Support integration testing, defect investigation, reconciliation accuracy validation, and regulatory compliance activities.

Requirements

  • University degree in Computer Science, Engineering, or a related field.
  • 4+ years of professional experience in Data Engineering, ETL/ELT Development, or Database Development, including at least 2–3 years of hands-on experience in comparable enterprise data integration, data processing, or reconciliation projects.
  • Advanced SQL development, including complex joins, CTEs, window functions, aggregations, and performance optimization.
  • Python development for file handling, data validation, transformation, and automation.
  • Hands-on experience with relational data modeling and database schema implementation, including staging tables, transformation models, reference data mappings, and reconciliation result structures.
  • Experience designing and implementing ETL/ELT pipelines and processing structured and semi-structured files, including CSV, delimited, fixed-width, and compressed formats.
  • Experience implementing reconciliation rules, matching algorithms, discrepancy identification, and results persistence.
  • Git-based development practices and automated testing.
  • Experience with PostgreSQL, Oracle, SQL Server, Python, dbt Core, Apache Airflow, Meltano/Singer, Informatica, Talend, SSIS, Apache NiFi, or equivalent ETL/ELT and database technologies.

Culture & Benefits

  • Flexible hybrid working model with home equipment benefits.
  • Competitive compensation, restaurant ticket card, and annual bonus programs.
  • Private health insurance, an onsite occupational doctor, and a workplace counselor.
  • IT equipment, mobile and data plan, modern facilities, indoor parking, and a company bus.
  • Mentoring, coaching, and a personalized annual learning and development plan.
  • Wellness facilities, onsite gym, employee referral bonus, and wellbeing, ESG, and volunteering activities.

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Python jobsSQL jobsGit jobs