1 month ago
Lublin, PolandMid Level
Responsibilities
- Design, build, support, and maintain scalable, secure data pipelines and integrations.
- Develop and maintain data models, ETL/ELT pipelines, and analytics solutions using Azure Synapse Analytics, Snowflake, Power BI, and related tooling.
- Build and maintain Power BI dashboards, reports, and self-service analytics capabilities.
- Own the quality, performance, reliability, and ongoing support of delivered data solutions, including legacy integrations.
- Troubleshoot complex data quality, performance, and integration failures across modern and legacy platforms.
- Use AI-assisted tools such as GitHub Copilot and Claude responsibly to improve data engineering delivery.
- Collaborate with Development, Cloud, and Security engineering teams to deliver secure, reliable, and scalable data solutions.
- Translate stakeholder data and reporting requirements into effective technical solutions.
- Apply data governance, privacy, security, and compliance principles to data solutions.
- Contribute to data architecture, standards, best practices, task estimation, and modernization planning.
Requirements
- Bachelor’s degree in computer science, data engineering, information systems, software engineering, or a related field, or equivalent professional experience.
- At least 5 years of experience in data engineering, data warehousing, or business intelligence roles is stated in the posting.
- At least 2 years of experience in data engineering involving ingestion, transformation, modeling, and pipeline operations across multiple data sources is also stated.
- Strong hands-on experience with Snowflake or an equivalent cloud data warehouse platform.
- Strong hands-on experience with Power BI, including data modeling, DAX, and report or dashboard development.
- Experience building and maintaining ETL/ELT pipelines, data integrations, legacy systems, and cloud platforms.
- Strong SQL skills and experience with dimensional modeling and star schemas.
- Experience with Azure, AWS, or GCP and cloud-native data services.
- Understanding of data governance, data quality, data security, privacy, and compliance principles.
- Experience collaborating with Development, Cloud, and Security engineering teams.
- Experience with Azure Synapse Analytics is desirable.
- GxP, GCP, and/or Trial Master File knowledge is preferred but not mandatory.
- Practical experience using AI-assisted tooling such as GitHub Copilot or Claude is required.
- Cloud fundamentals or data engineering certifications are preferred.
- Strong problem-solving, communication, stakeholder translation, decision-making, and continuous-learning skills are required.
Benefits
- Full-time position.
- Benefits outside the US may vary by country and align with local market practice; eligibility and effective dates may vary.
- The company provides equal employment opportunity and reasonable accommodations during the hiring process.
Tech Stack
Categories
Data Engineering
About Cencora
Cencora is a global pharmaceutical distributor and services company that links drug manufacturers with pharmacies, hospitals, and other providers, and supports product commercialization and specialty logistics. It earns revenue from wholesale distribution and fee-based services spanning supply chain, market access, and patient-support programs. Formerly AmerisourceBergen, it is a Fortune 10 public company on the NYSE, headquartered in Pennsylvania, serving both human and animal health markets.