Data Quality and Integration Engineer

The data quality and integration engineer's main mission is to create data flows in various contexts: data recovery, implementation of flows involving multiple different data sources, integration of business rules, and creation of data quality indicators.

Essential skills (10 years of experience or more):

o Expert in data recovery and integration

o Very good knowledge of relational modelling

o Expert in data quality principles

o Very good knowledge of data governance

o Expert in setting up control processes and indicators for data quality

o Very good knowledge of Informatica data integration and Data Quality tools or equivalent (Airbyte / dbt / Apache Hop).

Important skills:

o Indicators for data quality based on business needs and data.

o Ability to work autonomously in the creation and deployment of data recovery and integration

o Very good knowledge in Master Data Management

o Very good knowledge of database management technology.

Role and activities:

*Identify and extract data from different sources (databases, files, APIs, etc.) ensuring their relevance and quality.

*Manipulate and convert data to make it compatible with target systems, using techniques such as data cleaning, normalisation, aggregation, and transformation.

*Load data into target systems such as data warehouses or databases.

*Ensure that integrated data is accurate, complete, and compliant with quality standards.

*Implement automated processes for data integration.

*Work closely with technical teams (developers, database administrators, etc.) and functional teams (business analysts, compliance officers, etc.) to ensure data requirements are well understood and met.

Swiss residence or EU nationality.