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Data Engineer
Send applicationSummary
Would you like to join the team as a Data Engineer?
Overview
Title
Data Engineer
Site location
Bulgaria, Sofia
Employment type
Full-time
Posted
Region
Europe
We are looking for an experienced Data Engineer to join our team and support the full lifecycle of our data and integration platforms. You will work with a modern Microsoft- and IBM-aligned data stack to design, build, administer, and maintain scalable data solutions and system integrations. Your work will ensure that data across the organisation is accurate, secure, and readily available for analytics and operational needs.
This is an opportunity to take technical ownership of data integration, transformation and modelling, contributing to the platform from its initial design through production implementation and ongoing optimisation.
Key responsibilities
- Design and build Lakehouse and Warehouse solutions in Microsoft Fabric using a modern and scalable data architecture.
- Design, build, administer, and maintain data integration and transformation pipelines using Microsoft Fabric (Data Pipelines, Notebooks, Dataflows Gen2) and, where required, Azure Data Factory and IBM DataStage.
- Build ingestion and transformation pipelines using incremental loading, Change Data Capture (CDC) and schema governance.
- Support migration, integration, and modernisation initiatives across the Azure cloud ecosystem.
- Manage and optimise data environments for performance, scalability, quality, and cost efficiency.
- Ensure data quality, security, compliance, and governance standards are met.
- Work with IBM Cloud Pak for Data to integrate, virtualise, refine, and govern enterprise data.
- Collaborate closely with analysts, BI developers, architects, and data scientists.
- Troubleshoot issues, analyse root causes, and improve reliability of data pipelines and integrations.
Requirements
- 5+ years of professional experience in data engineering or data platform development.
- Proven, hands-on experience implementing solutions with Microsoft Fabric, including Lakehouses, Warehouses, and Data Pipelines. Experience limited to training or theoretical knowledge is not sufficient.
- Experience with Microsoft integration technologies such as Azure Data Factory, Logic Apps, Azure Functions, or Fabric Pipelines.
- Understanding of data modelling, warehousing concepts, integration patterns, and API-based connections.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
- Proficiency in SQL.
- Strong analytical, troubleshooting, and problem-solving skills.
Preferred qualifications
- Experience with Dynamics 365 Finance & Operations (D365FO) as an ERP solution - especially its data structures, integration capabilities.
- Experience with Azure DevOps, CI/CD pipelines, or Git-based workflows.
- Knowledge of Python or PowerShell for automation.
- Experience tuning large-scale data workloads and administering enterprise data platforms.
- Experience with IBM DataStage (development and administration) is considered as an advantage.
How to apply
If joining a dynamic and changing company appeals to you, please send us your CV in English using the form below. Ensure your CV contains only information relevant to your academic and professional background, avoiding sensitive personal data.
All applications will be considered with complete confidentiality. Only short-listed applicants will be contacted.
The personal data provided by you will be processed in strict confidence with applicable legislation in this regard.
about us
Huvepharma®
Huvepharma® is a fast-growing, global pharmaceutical company with a focus on developing, manufacturing and marketing human and animal health and nutrition products.
more about us
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The Huvepharma® distribution network covers 90 countries in 6 continents. Please select a country from the list below to see the products and services available in that region.
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Huvepharma has a remarkable distribution network which covers 90 countries in 6 continents. To offer you the best services, we ask you to select your country.
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