About the role

Design, develop, and optimize enterprise Data Warehouse solutions and high-performing data pipelines. Collaborate with cross-functional teams to ensure data quality and reliability for business intelligence initiatives.

What they look for

Data Warehousing ETL/ELT Microsoft SQL Server T-SQL SSIS SSMS Python Data Modeling Database Optimization Snowflake Cloud Data Platforms Dimensional Modeling Git CI/CD Agile Scrum

Requirements

Requires strong experience in SQL Server, T-SQL, SSIS, and Python for data processing and automation. Knowledge of data modeling and ETL/ELT processes is essential, with Snowflake experience being a plus.

Benefits

Private Health Insurance Life Insurance Health Management Scheme 25 Vacation Days Team Events International Network Lunch In The Office Go For Eat Vouchers Employee Referral Programme Education Budget Hardware Selection Budget

Full description

PRODYNA delivers innovative software and cloud solutions for enterprise customers, helping organizations leverage modern data platforms and analytics. As we continue to expand our Data Engineering capabilities, we are looking for a Data Engineer to join our growing team in Athens.

In this role, you will design, develop, and optimize modern Data Warehouse solutions, working on enterprise-scale data integration and transformation projects. You will collaborate with cross-functional teams to build reliable, scalable, and high-performing data pipelines that support business intelligence and analytics initiatives.

Key Responsibilities

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.

Must Have• 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.

Compensation & 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€