Senior Data Engineer – Surveillance & Interoperability

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inventYOU IT Consulting

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2017

🤝 B2B

🏢 Enterprise

☁️ SaaS

B2B • Enterprise • SaaS

inventYOU IT Consulting is a leading IT consulting firm founded in Sweden in 2017, specializing in both onsite and nearshoring professional IT services. The company offers innovative IT solutions to a diverse range of clients, from start-ups to large enterprises, aiming to help them achieve their business goals and maximize their IT investments. With a focus on maintaining a positive mindset, creating purposeful partnerships, and always delivering business value, inventYOU prides itself on being results-oriented and agile. The company provides nearshoring services from Athens, Greece, allowing access to a vast pool of skilled IT professionals, with the advantage of working within the same time zone and offering seamless Swedish-speaking project management.

📋 Description

• 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

🎯 Requirements

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or a related field • Minimum 8 years of relevant professional experience in Data Engineering, Data Integration, or Information Systems • Minimum 4 years of experience working on complex data integration or interoperability projects • Strong experience designing and implementing enterprise data architectures • Strong experience with Python development • Strong experience with SQL and relational databases • Experience designing and implementing ETL/ELT pipelines • Experience developing and integrating REST APIs and data exchange services • Experience with interoperability frameworks, middleware solutions, and integration architectures • Experience working with heterogeneous data sources and distributed systems • Experience with cloud platforms such as Azure, AWS, or GCP • Experience with data modelling, metadata management, and data governance practices • Understanding of data security, access control, audit logging, and privacy principles • Strong analytical and problem-solving skills • Experience producing technical documentation and solution designs • Excellent written and verbal communication skills in English • Nice to Have • Experience with surveillance, monitoring, or large-scale reporting systems • Experience with health information systems and interoperability initiatives • Experience with HL7 FHIR or other interoperability standards • Experience with DHIS2, SORMAS, Go.Data, OpenMRS, OpenELIS, or similar platforms • Experience with terminology standards such as ICD, LOINC, or SNOMED CT • Experience with AI-assisted data processing and data harmonisation approaches • Advanced degree in Data Engineering, Data Science, Health Informatics, or a related field • Knowledge of French

🏖️ Benefits

• Work on large-scale data integration and interoperability initiatives • Contribute to modern data architecture and analytics solutions • Collaborate with experienced international teams and stakeholders • Gain exposure to advanced data, cloud, and integration technologies • Be part of impactful projects that support data-driven decision-making and innovation