Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.
With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.
By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.
🔹 For our Client we are looking for Senior Analytics Engineer 🔹
✔️The Position
Join our Global Commercial IT team as a Senior Analytics Engineer and take part in transforming our Common Data Platform (CDP), which integrates and delivers business-critical data across 43 European and Canadian affiliates.
You’ll be joining a product team responsible for building and maintaining our AWS-based Data Lake, DBT Cloud transformation pipelines, and Snowflake data warehouse, enabling high-quality commercial and engagement insights across channels.
This role goes beyond coding – we’re looking for someone with strong technical expertise, a proactive mindset, and the ability to build foundations where there are none, improve data quality and reliability, and collaborate closely with business-facing product owner.
✔️ Key Responsibilities:
Design, build, and maintain robust ETL/ELT pipelines in DBT Cloud, ingesting data from sources like OCE IQVIA, Adobe Analytics, Qualtrics, Salesforce CIAM, and others
Contribute to the migration of legacy Snowflake and Qlik environments into the unified EUCAN CDP instance
Implement data quality validation frameworks (e.g., DBT tests, freshness checks, anomaly detection)
Support and improve our RUN Management process: monitoring, reruns, root-cause analysis and preventive actions
Maintain and document model ownership, schema logic and transformations within our CDW_CORE > CDW_STAGE > CDW_PROD architecture
Collaborate closely with Product Owner, Data Architect, and affiliate stakeholders to ensure delivery of trusted, scalable and governed data products
Mentor junior engineers and act as a point of escalation for complex data issues
✔️ Tech Stack & Environment:
DBT Cloud (core ELT engine)
Snowflake (Data Warehouse)
AWS S3 (Data Lake, ingestion zone)
GitHub, Azure DevOps
Data sources: IQVIA OCE, Salesforce Marketing Cloud, Adobe AEM/Analytics, Shopify, Qualtrics, Accutics, Facebook/LinkedIn/Instagram
✔️ Must-Have Qualifications:
5+ years of experience as a Data Engineer working with cloud-based ELT pipelines
Expert-level SQL and DBT modeling skills
Deep understanding of data warehousing concepts (dimensional modeling, incremental loading, performance optimization)
Experience with Snowflake and cloud data architecture
Strong communication and documentation skills – must work well in distributed teams
Proactive attitude: ownership over data quality, incident handling and delivery discipline
✔️ Nice-to-Haves:
Experience in the pharmaceutical or commercial and Sales data domains (CRM, HCP, field force)
Exposure to GDPR and data privacy requirements in commercial data
✔️ We offer:
B2B agreement
Transparent working conditions with both Ework and the client
Current support during our cooperation
Possibility to work in an international environment
Collaborative environment in Swedish organizational culture
Private medical care
Life insurance
Multisport
Teambuilding events
Net per hour - B2B
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