iKnowHow Group is a leading Software & Robotics Solutions group of companies operating internationally for over 24 years, with 300+ professionals delivering innovative technology solutions across Energy, Telecommunications, Banking & Financial Services, and Public Sector industries. The group is structured into specialized subsidiaries, each focused on distinct technology domains and market verticals.
We are now looking for a mid-level Data Engineer to work in new challenging outsourced projects.
You will design and develop scalable data pipelines, modernize legacy data flows into a cloud-native architecture, and partner with data scientists, analysts, and business stakeholders to ensure trusted, well-governed data is available across the enterprise. The primary technology footprint is Microsoft Azure, with selected workloads on Google Cloud Platform and a smaller Amazon Web Services presence.
Responsibilities:
- Design, build, and maintain scalable batch and streaming data pipelines across Azure Data Factory, Azure Synapse, and Databricks, ingesting data from policy administration, claims, CRM, and external data providers.
- Develop curated data models in a medallion (bronze/silver/gold) architecture using Delta Lake, ensuring data quality, lineage, and reusability across analytics and AI use cases.
- Develop and optimise SQL and PySpark transformations for high-volume datasets, with strong attention to performance, cost, and reliability.
- Operationalise pipelines through Azure DevOps and/or GitHub Actions, embedding automated testing, deployment, and observability into the data delivery lifecycle.
- Implement data quality checks, monitoring, and alerting across critical data products, working with platform engineering on lineage and cataloguing (e.g., Microsoft Purview, Unity Catalog).
- Collaborate with data architects to align pipelines with the enterprise data model and governance standards, including PII handling, retention, and access controls relevant to insurance regulation.
- Work closely with analytics, actuarial, and data science teams to translate business requirements into robust data products and self-service datasets.
- Participate in code reviews, design sessions, and Agile ceremonies, contributing to engineering standards and continuous improvement of the data platform.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
- 3–5 years of hands-on experience as a Data Engineer or in a closely related role, delivering production data pipelines.
- Proven track record of building cloud-native data solutions in Agile/Scrum environments.
- Strong experience with Microsoft Azure data services: Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage Gen2, and Azure SQL.
- Hands-on experience with Databricks and Apache Spark (PySpark), including Delta Lake and the medallion architecture.
- Advanced SQL skills and solid Python development for data engineering workloads.
- Familiarity with CI/CD pipelines using Azure DevOps and/or GitHub Actions, infrastructure-as-code (Terraform or Bicep), and Git-based workflows.
- Understanding of data modelling (dimensional, Data Vault, or lakehouse patterns) and data governance concepts including data quality, lineage, and security.
Nice to have:
- Experience in regulated industries (insurance, banking, healthcare.
- Working knowledge of Google Cloud data services
Benefits
- An attractive salary package
- Private health insurance plan
- Career development and growth opportunities
- Continuous training via personalized seminars
- An amazing private & open-office workspace in Athens #LI_Hybrid
- Stable and enjoyable working environment
Skills Required
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field
- 3-5 years of hands-on experience as a Data Engineer or in a closely related role, delivering production data pipelines
- Strong experience with Microsoft Azure data services
- Hands-on experience with Databricks and Apache Spark (PySpark)
- Advanced SQL skills and solid Python development for data engineering workloads
- Familiarity with CI/CD pipelines using Azure DevOps and/or GitHub Actions
- Understanding of data modelling and governance concepts
What We Do
iKnowHow is a Greek technology firm based in Athens and currently employing more than 120 engineers and IT professionals. The company was founded in 2002 and has since grown rapidly holding nowadays a significant market share in Greece, Cyprus and Europe. For almost two decades, the company has been offering a wide range of tailor made software solutions and specialized ICT strategy consulting services as well as building complex enterprise applications with emphasis on Digital Government, Business Automation, Information Security, Digital Transformation, e-Health and Industrial Automation solutions. The past years the company has significantly increased in size and financial yield, reaching almost 120 employees. IKH is organized into three business units: digital government, healthcare, and robotics. Our longstanding partnership with IBM and our knowledge of Open Source technologies has allowed us to complete significant ICT work for local and international organizations. IKH Innovation, our robotics arm, is a world-class team of robotics and software engineers with expertise in mechanical design, embedded control, data-driven intelligence and mobile robots. IKH Innovation designs and builds tailor-made robotic solutions capable of performing in demanding environments. evorad™ is our comprehensive RIS / PACS suite designed to cover a radiology department's needs from the moment patients walks in to the moment they walk out with their examination and their digital diagnostic report in hand. evorad™ has become the premier PACS solution of Greek public hospitals, used not only to process thousands of examinations per day, but also as the main teaching tools in medical schools and university hospitals.
