Senior Analytics Engineer: Remote ELT & Data Quality Lead
Summary
Build and maintain cloud-based ELT pipelines in DBT Cloud and Snowflake, ensuring data quality and governance while migrating legacy systems to a unified CDP instance.
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, Accu, 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
We offer
- B2B contract via Experis
- Remote work
- Medicover
- Multisport
- E‑learning platform
- Group insurance
