Data Engineer

PRODYNA

Data Engineer working on enterprise-scale data integration in Greece, developing modern DWH solutions alongside cross-functional teams.

Posted 7/14/2026full-timeAthens • 🇬🇷 GreeceMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing Data Warehouse solutions, optimizing ETL/ELT processes, and utilizing Microsoft SQL Server for data management. Proficient in Python for automation and data processing, with a strong focus on data quality and performance optimization.

Highest-signal resume keywords

Data Warehouse (DWH) SolutionsETL / ELT ProcessesMicrosoft SQL ServerSQL Server Integration Services (SSIS)Python

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Warehouse (DWH) SolutionsETL / ELT ProcessesMicrosoft SQL ServerSQL / T-SQLSQL Server Integration Services (SSIS)SQL Server Management Studio (SSMS)PythonData ModelingDatabase OptimizationDimensional Data Modeling

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication Skills

Tools & Technologies

SQL Server Management Studio (SSMS)SQL Server Integration Services (SSIS)SnowflakeGitCI/CD Practices

Industry Keywords

Cloud-Based Data PlatformsAgileScrum

Tech Stack

Tools & technologies

CloudETLMS SQL ServerPythonSQLSSIS

About the role

Key responsibilities & impact

Design, develop, and maintain enterprise Data Warehouse (DWH) solutions.
Develop and optimize ETL/ELT processes for loading and transforming data from multiple sources.
Build and maintain SQL-based data models and data pipelines.
Develop, troubleshoot, and optimize Microsoft SQL Server solutions.
Create and maintain SQL Server Integration Services (SSIS) packages.
Develop Python scripts for automation, data processing, and integration.
Monitor, optimize, and troubleshoot data workflows and database performance.
Collaborate with business analysts, software engineers, and stakeholders to deliver high-quality data solutions.
Ensure data quality, consistency, and reliability across the data platform.

Requirements

What you’ll need

Experience designing and developing **Data Warehouse (DWH)** solutions.
Solid experience with **ETL / ELT** processes.
Strong knowledge of **Microsoft SQL Server**.
Excellent SQL / T-SQL skills.
Experience with **SQL Server Integration Services (SSIS)**.
Experience using **SQL Server Management Studio (SSMS)**.
Good knowledge of **Python** for automation and data processing.
Understanding of data modeling and database optimization.
Strong analytical and problem-solving skills.
Good communication skills in English.
Nice to Have
Hands-on experience with Snowflake is highly preferred.
Experience with cloud-based data platforms.
Knowledge of dimensional data modeling (Star Schema / Snowflake Schema).
Experience with Git and CI/CD practices.
Familiarity with Agile/Scrum methodologies.

Benefits

Comp & perks

Salary: We will settle on the exact compensation amount based on prior experience and skills.
Private health insurance & Life Insurance from day #1
Health management scheme (weekly sessions & monthly challenges)
25 vacation days
Team events tech oriented and more
International network
Lunch in the office & Go For Eat vouchers
Employee referral programme/ bonus
**Dedicated budget for:**
Employee education ~ 800€
Hardware selection (MacBook or Lenovo ThinkPad) with your own mobile ~ 3000€