PRODYNA

Data Engineer

• At PRODYNA, we design, implement, and operate modern cloud-native software and data platforms for mid- to large-sized enterprises. We help our customers unlock the value of their data through scalable architectures, advanced analytics, and cloud technologies while delivering future-proof solutions built on Microsoft Azure.
• As part of our growing Data Engineering team in Athens, you will design and build enterprise-grade data platforms, modern Lakehouse architectures, and high-performance data pipelines that power analytics and AI workloads. Working closely with architects, software engineers, and cloud specialists, you'll help customers transform complex business requirements into reliable, scalable, and secure data solutions.
• Your Tasks
• - Design, build and maintain scalable batch and streaming data pipelines using Python, Apache Spark and Azure Databricks.
• - Develop modern ETL/ELT architectures capable of processing large-scale enterprise datasets.
• - Design and implement Lakehouse solutions using Delta Lake and other modern table formats.
• - Build robust APIs and data services for internal and external consumers.
• - Optimize Spark applications through performance tuning, partitioning strategies and bottleneck analysis.
• - Implement dimensional data models, Slowly Changing Dimensions (SCD), schema evolution and data quality controls.
• - Develop real-time streaming solutions using Spark Structured Streaming.
• - Collaborate with Cloud Architects and Software Engineers to design end-to-end Azure-based data platforms.
• - Build Infrastructure as Code using Terraform/Terragrunt and support CI/CD automation.
• - Ensure observability through logging, monitoring and operational metrics.
• - Apply security best practices including encryption, secrets management and protection of sensitive data.
• - Participate in customer workshops, architecture discussions and technical consulting activities.

Senior Data Engineer

• 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.

Backend Engineer

• Design, implement, test, and maintain Java-based applications, modules, and integrations
• Work with **Apache Wicket** (or similar component-based web frameworks) to develop UI layers (if Wicket is used in your stack)
• Build and manage build scripts and dependencies with **Gradle**
• Create and maintain reports using **JasperReports**
• Troubleshoot and resolve bugs, performance issues, and bottlenecks
• Participate in code reviews, pair programming, and mentoring
• Collaborate with product managers, QA, DevOps, and other stakeholders to define requirements and deliver features
• Write automated tests and maintain good test coverage
• Continuously research, propose, and evaluate new tools, frameworks, and architectures

Senior Data Engineer

Data Engineer

Java Software Engineer