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Cencora
Cencora
ConsultingHealthcareLogistics
Cencora works across healthcare, logistics, and consulting to support the delivery of medicines and health solutions for people and animals. Building on the legacy of AmerisourceBergen, the company provides specialty logistics and warehousing, drug research and clinical development support, commercialization and patient access services, and wholesale and specialty distribution. Its customers include pharmaceutical companies, physician practices, pharmacies, and health systems, alongside organizations serving animal health. Cencora’s broad operating model connects products, services, and supply-chain expertise across the healthcare ecosystem.
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Data Engineer – Poland (Remote)

Build and support secure Snowflake, Power BI, and cloud data solutions for Cencora’s healthcare operations. The role covers pipeline engineering, legacy integrations, and analytics platforms.

PLPolandRemoteFull-timeMiddleSeniorEnglish RequiredData Engineer
AWSAzureCloudETLGoogle Cloud PlatformSQL

Description

  • Create, operate, and support scalable, secure data pipelines and integrations across the organisation’s data environment.
  • Develop and manage data models, ETL/ELT pipelines, and analytics solutions with Azure Synapse Analytics, Snowflake, Power BI, and related tools.
  • Take ownership of solution quality, performance, maintenance, and support, including legacy data integrations.
  • Promote responsible use of AI-assisted tools such as GitHub Copilot and Claude to improve delivery speed, quality, and efficiency.
  • Work with Development, Cloud, and Security Engineering teams to deliver dependable, secure data solutions.
  • Investigate and resolve complex data-quality, performance, and integration problems across current and legacy platforms.
  • Support existing legacy integrations and identify appropriate opportunities for modernisation.
  • Create and maintain Power BI dashboards, reports, and self-service analytics for business stakeholders.
  • Convert business data and reporting needs into effective technical solutions.
  • Implement security, governance, privacy, and compliance requirements across data solutions.
  • Help shape data architecture, engineering standards, and recommended practices.
  • Estimate the time and effort required for data-engineering work and projects.
  • Work with Cloud and Development teams to expand data platforms within cloud infrastructure.
  • Complete other reasonable responsibilities that match the role’s capabilities when needed.

Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related discipline, or equivalent professional experience.
  • At least five years of experience in data engineering, data warehousing, or business intelligence.
  • Strong practical experience with Snowflake or a comparable cloud data warehouse.
  • Strong practical Power BI experience, including data modelling, DAX, and report or dashboard creation.
  • Experience developing and supporting ETL/ELT pipelines and integrations, including connections to legacy systems.
  • Hands-on experience with AI-assisted tools such as GitHub Copilot and Claude.
  • Advanced SQL capability, with experience in data modelling, dimensional modelling, and star schemas.
  • Experience with Azure, AWS, GCP, or comparable cloud platforms and their native data services.
  • Working knowledge of data governance, data quality, and data security principles.
  • Experience partnering cross-functionally with Development, Cloud, and Security Engineering teams.
  • Experience with Azure Synapse Analytics is desirable.
  • Knowledge of GxP, GCP, and/or TMF is preferred but not required.
  • Strong analytical skills for diagnosing and resolving complex data issues.
  • Clear communication skills, including the ability to explain technical data concepts to non-technical stakeholders.
  • Fluent written and spoken communication skills.
  • Strong working knowledge of data platforms and tooling, particularly Snowflake and Power BI.
  • A bachelor’s degree in computer science, data engineering, information systems, software engineering, or a related field, or equivalent experience, is required.
  • At least two years of data-engineering experience covering ingestion, transformation, modelling, and pipeline operations across multiple data sources, or related experience.
  • Cloud fundamentals or data-engineering certifications are preferred.

Benefits

  • Full-time employment.
  • Benefits are provided in line with local market practices; eligibility and effective dates can vary by country and collective bargaining coverage.
  • Reasonable accommodations are available throughout the employment process.

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