We are looking for a Data Engineer to join our digital data team in the data architecture operation and governance team to build and operationalize data pipelines necessary for the enterprise data and analytics and insights initiatives, following industry standard practices and tools. The bulk of the work would be in building, managing, and optimizing data pipelines and then moving them effectively into production for key data and analytics consumers like business/data analysts, data scientists or any persona that needs curated data for data and analytics use cases across the enterprise. In addition, guarantee compliance with data governance and data security requirements while creating, improving, and operationalizing these integrated and reusable data pipelines.
The data engineer will be the key interface in operationalizing data and analytics on behalf of the business unit(s) and organizational outcomes.
Functions
Must work with business team to understand requirements, and translate them into technical needs
Gather and organize large and complex data assets, perform relevant analysis
Ensure the quality of the data in coordination with Data Analysts and Data Scientists (peer validation)
Propose and implement relevant data models for each business cases
Optimize data models and workflows
Communicate results and findings in a structured way
Partner with Product Owner and Data Analysts to prioritize the pipeline implementation plan
Partner with Data Analysts and Data scientists to design pipelines relevant for business requirements
Leverage existing or create new "standard pipelines" within Sanofi to bring value through business use cases
Ensure best practices in data manipulation are enforced end-to-end
Actively contribute to Data governance community
Requirements
At least 5 years experiences in a data team as Data Engineer
Experience in a healthcare industry is a strong plus
Knowledge of AWS.
Knowledge of Azure or GCP is a plus
Orchestration: Airflow
Project management & support: JIRA projects & service desk, Confluence, Teams
Expert in ELT and ETL such as Informatica IICS, Databricks, Delta, Glue, …
Expert in Relational database technologies and concepts:
Perform SQL queries
Create database models
Maintain and improve queries performance
Snowflake is a plus
Working knowledge of Python and familiar with other scripting languages
Good knowledge of cloud computing
Conditions
Long term contract. Direct hiring by this multinational company.
Very attractive and competitive salary (according to the skills and experience of the candidate) and social benefits.
Starting Day: ASAP
Location: Barcelona (40% remote work)
