About Us:
Chryselys
is a
Great Place to Work Certified,
Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.
We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.
Who we are:
People -
Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.
Quality -
Our goal is to deliver the value of a big five consulting company without the big five cost.
Technology
- Our solutions are Business centric built on cloud native technologies.
About the Role:
We are looking for a passionate and skilled Data Engineer to join our Nordics team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines and workflows that support critical business reporting and analytics.
Key Responsibilities:
· Design and implement scalable ETL/ELT pipelines: Build resilient, maintainable data ingestion and transformation workflows with version control, testing, and observability.
· Data transformation with DBT: Develop modular, well-documented dbt models, tests, and exposures; enforce coding and documentation standards.
· Advanced SQL and data modeling: Write optimized SQL and design star/snowflake models and data marts that power analytics and self-service BI.
· Data quality and governance: Implement tests, SLAs, data contracts, and lineage; ensure consistency, completeness, and compliance with policies.
· Collaboration and stakeholder engagement: Gather requirements with analysts and business teams; translate needs into technical designs and delivery plans.
· Best practices and documentation: Establish reusable patterns, contribute to coding guidelines, and maintain high-quality technical documentation and runbooks.
· Monitoring and reliability: Set up monitoring, alerting, and pipeline observability; troubleshoot incidents and drive root-cause analysis and prevention.
· Domain data handling: Work with large healthcare/pharma datasets (commercial, sales) with appropriate controls.
Required Skills & Qualifications:
· >5 years of experience in a Data Engineering or similar role.
· Strong proficiency in SQL for data extraction, transformation, and analysis.
· Hands-on experience with Python for data manipulation and scripting.
· Experience working with DBT .
· Prior experience with commercial pharma and pharma datasets required
· Proven experience with Amazon Redshift (schema design, performance optimization).
· Solid understanding of data warehousing concepts and ETL/ELT processes.
· Strong problem-solving skills and attention to detail.
· Excellent communication and collaboration abilities.
· Natural curiosity and the ability to develop solutions based on high-level guidance
Preferred Qualifications:
· Exposure to cloud platforms like Azure or AWS.
· Knowledge of CI/CD practices in data engineering.
Why Join Us?
Work on Advanced Analytical techniques using AI/ML in the Market Access functions for the pharmaceutical domain with industry-leading tools.
Collaborate with Global and US teams to advance Market Access Contracting and Patient Analytics.
Opportunity to drive AI/ML-based innovations in Market Access Analytics.
Competitive salary, learning opportunities, and a dynamic work environment
Equal Employment Opportunity:
Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Connect with Us:
Follow us for updates and more opportunities:
https://www.linkedin.com/company/chryselys/mycompany/
Discover more about our team and culture:
www.chryselys.com
