Data Engineer

• **Data Discovery** and **Extraction** from multiple sources (transactional systems, files,
• online sources etc.)
• Development of **Data Pipelines**
• **Data Transformation** and **Cleansing**
• **Data Model Design** in collaboration with data architects
• **Requirements Analysis** in collaboration with business analysts
• **Data Analysis, Visualization**, and **Reporting**

Data Engineer – Junior to Mid Level

• 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.

• iKnowHow Group is looking for curious, driven people who want to create impact through technology and grow with us.

• Enhance the different pipelines in place to retrieve data from external providers.
• Codify, structure, expand and maintain the data scrapers
• Participate in expanding the coverage of the data retrieved to new markets or geographies.
• Enrich the product and participate in the development of new features.
• Build and improve monitoring and alerting tools and dashboards.
• Contributing towards good performance of our API which distributes the data to end users.
• Work together with Data Scientists and market experts with strong experience in this domain.
• Help the team build ambitious yet sustainable plans for growth and improvement.

Data Engineer – Natural Gas

• Design and implement data integration and interoperability solutions across multiple systems and platforms
• Design and maintain scalable data architectures and integration frameworks
• Develop and maintain ETL/ELT pipelines for data ingestion, transformation, validation, and harmonisation
• Design and implement interoperability middleware and API-based integration services
• Develop and maintain data exchange mechanisms between heterogeneous systems
• Design and implement canonical data models and metadata harmonisation processes
• Support the implementation of surveillance, monitoring, and reporting data solutions
• Develop and maintain cloud-based and hybrid data integration platforms
• Ensure data quality, consistency, reliability, and performance across data ecosystems
• Contribute to technical architecture decisions and interoperability standards implementation
• Produce technical documentation, architecture artefacts, and implementation guidelines

Senior Data Engineer – Surveillance & Interoperability

• Build and operate scalable batch and streaming data pipelines (e.g., Kafka, Spark), ensuring reliable ingestion, processing, and recovery in production environments.
• Design and implement data quality and governance mechanisms including validation, lineage, and monitoring to ensure trusted and accurate datasets.
• Develop observability and reliability tooling across data platforms using metrics, logs, traces, CI/CD, automated testing, alerting, and incident response.
• Contribute to robust and scalable data architecture, applying software engineering best practices, reusable components, and clean design principles.
• Collaborate with Product, Engineering, Analytics, and domain experts to translate requirements into scalable data solutions with measurable impact.
• Participate in Agile delivery processes, including planning, estimation, reviews, and retrospectives, contributing to predictable and iterative delivery.
• Continuously optimize performance, scalability, and cost efficiency across data pipelines, storage, and infrastructure.
• Ensure security, privacy, and compliance standards are embedded in all data handling and processing workflows.

• Build and maintain scalable data pipelines and workflows
• Design and evolve robust data models and architectures
• Ensure high standards for data quality, reliability, and monitoring
• Collaborate cross-functionally with engineering, analytics, and product teams
• Lead technical decisions across the data engineering stack
• Improve platform performance, scalability, and cost efficiency
• Mentor engineers and champion engineering best practices
• Support the delivery of reliable, well-documented, production-grade data solutions

Senior Data Engineer – Team Lead

• Build new reports for module releases, working with PMs on the brief and engineering on the source data
• Refactor existing reports to a common standard for layout, performance, and UX
• Tune slow queries and dashboards; fix bottlenecks at the SQL, schema, or aggregation layer
• Maintain the modeling / semantic layer in Metabase so non-technical users can self-serve where appropriate
• Define and apply naming, formatting, and visual standards for reports across the platform
• Partner with engineering on schema and event design so the data needed for reporting exists at the source
• Build reusable report templates that help our implementation team deliver faster on customer-specific requests
• Track usage and feedback on reports; double down on what matters, retire what doesn't
• Support AI and ML initiatives by preparing and maintaining high-quality datasets the AI features on our platform can build on

BI and Data Engineer

• Support the development and optimisation of neural‑network‑based models for on‑board processing.
• Contribute to dataset preparation, preprocessing, and evaluation workflows.
• Assist in prototyping machine‑learning algorithms in Python (PyTorch, TensorFlow, etc.).
• Participate in model optimisation for embedded or resource‑constrained hardware.
• Help integrate,test and benchmark AI algorithms on experimental on‑board computing platforms/accelerators (such as Neuromorphic or FPGA-based).
• Document technical results and support internal reviews.
• Work under the guidance of senior engineers in the Orbital-HPC team.

Data Engineer jobs in Greece

See all jobs on JobTailor

Data Engineer – Junior to Mid Level

Senior Data Engineer

Data Engineer

Senior Data Engineer

Data Engineer – Natural Gas

Senior Data Engineer – Surveillance & Interoperability

Data Engineer

Senior Data Engineer – Team Lead

BI and Data Engineer

AI/ML Data Engineer