This is us
At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX, and UI design, managed services, product development, and software development.
This is the job
We are seeking a Data Engineer to join our team in supporting the development of the Agile Insights Platform, a multi-tenant, cloud-native analytics platform designed for pharmaceutical commercial programs. The platform enables data integration, KPI configuration, and dashboard delivery across Field Sales, Engagement Centers, Digital Amplifier, and Patient Services modules.
As a Data Engineer, you’ll play a key role in configuring and validating KPI logic, integrating client data sources, and supporting synthetic data workflows, while collaborating closely with cross-functional teams to ensure platform accuracy and scalability.
This is you
- Strong proficiency in SQL and QSQL (for KDB+) with the ability to translate logic between the two
- Experience with data mapping using GUI-based tools for source-target alignment
- Proficiency in cross-dataset joins and relational data validation
- Scripting experience in Python or SQL for automation and test data generation
- Comfortable working with YAML-based KPI logic templates
- Hands-on experience querying and validating data in Snowflake
- Knowledge of Azure Data Factory for orchestrating data pipelines
- Understanding of Azure DevOps Pipelines and CI/CD deployment automation
- Experience supporting QA and testing teams to validate KPI and dashboard logic
- Familiarity with Auth0, Oracle APEX, and role-based access provisioning
This is your role
- Map and integrate client data using GUI tools, Azure Data Factory, and Snowflake.
- Configure KPI logic using SQL, QSQL, and YAML, supporting both standard and client-specific metrics.
- Generate and validate synthetic data for QA using Python or SQL.
- Set up dashboards and ensure correct KPI rendering across services.
- Manage access provisioning and deployments via Auth0, Oracle APEX, and Azure DevOps Pipelines.
- Support cross-functional teams by resolving data and logic issues and preparing client-ready data exports.