# Data Engineer

> PRODYNA · Athens, Greece (Hybrid) · Full-time · Posted 2026-04-01

**Workplace:** hybrid

**Department:** Engineering

## Description

PRODYNA we design, implement, and operate custom software applications for mid- to large-sized enterprises. We're committed to offering our customers innovative and future-proof solutions through digitalization and cloud computing strategies. As a member of the Cloud Native Computing Foundation (CNCF), we promote speed, agility, and scalability in software development.

### Your tasks

As a Data Engineer, you'll be responsible for designing and conceptualizing modern data platforms capable of integrating and processing large volumes of data from systems at scale. Your responsibilities will include:

-   Designing and conceptualizing modern data platforms for large-scale data integration and processing.
-   Planning and implementing backend services using modern frameworks for data provisioning and utilization.
-   Independently optimizing pipelines and integrating them into cloud platforms.
-   Implementing tools and solutions to ensure data quality, data cleansing, and provision of aggregated data for analysis.
-   Gathering and specifying requirements from our clients.

## Requirements

-   Several years of experience in software development, particularly in data-driven projects, data warehousing, or data platform construction.
-   You are skilled in developing pipelines and data integration routes both on-premises and in the cloud (ETL/ELT, Azure Data Factory, DBT, stored procedures, or similar tools.
-   Familiarity with data modeling and experience with Data Vault, Data Mesh, Kimball, or Inmon methodologies.
-   Proficiency in SQL and at least one programming language (e.g., Python, Scala).
-   Experience with cloud platforms (e.g., Azure, AWS, or GCP).
-   Strong analytical and problem-solving skills.
-   Additional knowledge of data science or business intelligence (reporting tools) is an advantage.

Nice to Have:

-   Experience with Microsoft Fabric or understanding of the Fabric ecosystem.
-   Knowledge of Delta Lake, Lakehouse architecture, and data mesh principles.
-   Familiarity with CI/CD for data pipelines.
-   Exposure to data cataloging tools (e.g., Purview, Alation).
-   Understanding of privacy regulations (e.g., GDPR, CCPA).

## Benefits

**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
-   Employee referral programme/ bonus

**Dedicated budget for:**

-   Employee education ~ 800€
-   Hardware selection (MacBook or Lenovo ThinkPad) with your own mobile ~ 3000€

## Apply

[Apply at PRODYNA](https://apply.workable.com/prodyna/j/9DFC1EF7EB/apply)

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