Data Engineer

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cencora

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Cencora is a company dedicated to improving the health and well-being of both people and animals globally. Built on the legacy of AmerisourceBergen, Cencora offers a wide range of industry-leading solutions that encompass specialty logistics, warehousing, drug research, clinical development support, and more. They provide commercialization and patient access support and offer wholesale and specialty distribution services. Cencora serves a diverse clientele, including pharmaceutical companies, physician practices, pharmacies, and health systems. The company also extends its services to animal health, managing operations and delivering products for animal pharmaceutical care. With a strong global footprint, Cencora aims to reshape healthcare delivery through innovative products and solutions, striving to create healthier futures for all.

📋 Description

• Design, build, support and maintain scalable, secure data pipelines and integrations across the organisation's data estate • Develop and maintain data models, ETL/ELT pipelines and analytics solutions using Azure Synapse Analytics, Snowflake, Power BI and related tooling • Own the quality, performance and ongoing support of delivered data solutions, including legacy data integrations • Champion responsible use of AI-assisted tooling such as GitHub Copilot and Claude to improve delivery speed, quality and efficiency • Collaborate with Development, Cloud and Security engineering teams to deliver secure and reliable data solutions • Troubleshoot and resolve complex data quality, performance and integration issues across modern and legacy platforms • Maintain existing legacy integrations and plan their modernisation where appropriate • Build and maintain Power BI dashboards, reports and self-service analytics for business stakeholders • Translate business data and reporting requirements into technical solutions • Apply security, governance, privacy and compliance requirements to data solutions • Contribute to data architecture, standards and best practices • Estimate time and effort for data engineering tasks and projects • Partner with Cloud and Development teams to scale data platforms within cloud infrastructure • Take on additional reasonable tasks aligned with abilities when required

🎯 Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Systems or a related field, or equivalent professional experience • 5+ years of experience in data engineering, data warehousing or business intelligence roles • Strong hands-on experience with Snowflake or an equivalent cloud data warehouse platform • Strong hands-on experience with Power BI, including data modelling, DAX and report/dashboard development • Experience building and maintaining ETL/ELT pipelines and data integrations, including legacy systems • Practical experience using AI-assisted tooling such as GitHub Copilot and Claude • Strong SQL skills and experience with data modelling, dimensional modelling and star schemas • Experience with cloud platforms such as Azure, AWS or GCP and cloud-native data services • Understanding of data governance, data quality and data security principles • Experience working closely with Development, Cloud and Security engineering teams in a cross-functional environment • Experience with Azure Synapse Analytics is desirable • GxP, GCP and/or TMF knowledge preferred but not mandatory • Strong problem-solving and complex data issue diagnosis skills • Strong communication skills and ability to translate technical data concepts for non-technical stakeholders • Fluent oral and written communication • Strong working knowledge of data tooling and platforms, including Snowflake and Power BI • Bachelor's degree in computer science, data engineering, information systems, software engineering or a related field, or equivalent experience required • 2+ years of experience in data engineering involving ingestion, transformation, modeling and pipeline operations across multiple data sources or a related field • Certifications in cloud fundamentals or data engineering preferred

🏖️ Benefits

• Full-time employment • Benefit offerings aligned to local market practice; eligibility and effective dates may vary by country and collective bargaining coverage • Reasonable accommodations during the employment process