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Data Engineer

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Hybrid

Data Engineer

Billennium

Data Engineer

Skills

SQL QueriesData EngineeringPythonAWS LambdaSnowflakeAmazon RedshiftData AnalysisMachine LearningAIAWSSalesforce

25 days ago

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Important information


Contract type:

Permanent

Location:

Poland

Work mode:

Hybrid

Published on:

25 September 2026

What they need


Billennium is a global technology company with over 20 years of experience, committed to innovation and empowering businesses. As an employer, we offer a supportive, growth-focused environment where collaboration and creativity thrive. Join us to shape the future of technology together!

We are looking for a Data Engineer to join our client, a global pharmaceutical company, and become part of the Partnering Digital Solutions team. This strategic team focuses on maximizing the impact of partnerships through digital solutions and AI-enabled ecosystems.

In this role, you will work on building scalable data platforms, designing robust data pipelines, and enabling advanced analytics and AI-driven solutions. You will contribute to high-impact initiatives, including the development of intelligent data products, optimization of complex data ecosystems, and integration of innovative external capabilities. Working closely with cross-functional teams and external partners, you will help accelerate data-driven decision-making and create business value through modern data engineering practices.

This is a unique opportunity to be part of a forward-thinking team shaping the future of data and AI in a global organization.

What we are looking for:

  • 7+ years of experience in data engineering or similar roles, including experience leading projects or initiatives.
  • Proven track record designing and scaling cloud-based data platforms (preferably AWS).
  • Strong proficiency in SQL, Python, and advanced data modeling, including hands-on experience designing conceptual, logical, and physical data models for complex, heterogeneous datasets.
  • Experience leading architecture decisions and implementing best practices.
  • Strong understanding of data quality, integration, transformation, and governance.
  • Excellent communication skills with the ability to influence technical and non-technical stkeholders.
  • Hands-on experience designing and implementing semantic data models, semantic layers, ontologies, taxonomies, or knowledge graphs.
  • Strong understanding of entity modeling, relationships, metadata, entity resolution, and data standardization across disparate data sources.
  • Experience translating complex business or domain concepts into reusable data models and semantic structures that support analytics, AI/ML, and enterprise data products.
  • Hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, Athena, etc.).
  • Experience supporting AI/ML data pipelines and workflows.
  • Familiarity with metadata management and data governance frameworks.
  • Experience in healthcare/life sciences or partnering domains.
  • Experience working in Agile environments.

Perks and benefits:

  • Comprehensive benefits - enjoy Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers.
  • Flexibility - adaptable working hours and remote/hybrid work options to suit your lifestyle & location.
  • Career growth - access opportunities for professional development and learning, including perks related to our official partnerships with global IT giants: Microsoft, AWS, Snowflake, Salesforce & more.
  • Global collaboration - work with a diverse, international team.
  • Innovative environment - be part of a forward-thinking and growth-oriented workplace.
  • Engaging community – Work with passionate professionals and participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work.
  • Team-building events including our company tradition (annual company event in Mazury).
  • A pleasant surprise to start your journey with us in the form of a welcome pack.

Sounds interesting? Click "Apply" and have a chance to hear more!

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