Data Engineer (100%)

To strengthen our AI / Data team, we are looking for a Data Engineer that will play a key role in supporting us with data modeling, quality, validation, analysis, governance, warehouse and ETL pipelines. The position of Data Engineer is a full-time and permanent position based in our office in the Basel, Switzerland.  As part of our commitment to fostering a collaborative team environment, this role requires working fully on-site.

Tasks & Responsibilities

• Data modelling : design and implement data models that support business requirements and optimise for performance and scalability on large datasets.
• Data quality and validation : provide support and solutions to develop data quality checks within the pipelines to ensure data is always within its expectations.
• Data integration : integrate data from all sources within the company and make it equally available for local and remote organisations.
• Data analysis : develop and maintain insightful reports and dashboards to provide business metrics, trends and performances.
• Data governance : support ensuring data compliance and harmonisation by developing strong and meaningful collaboration with data governance team policies and regulations.
• Extract-Transform-Load (ETL) pipelines : create and maintain fast and efficient data pipelines from different relational and non-relational sources - MySQL, Apache Solr, MongoDB, APIs into a centralised data lake and data warehouse, using the Apache Airflow orchestrator.
• Data Warehouse tuning and optimisation : contribute to the optimisation and performance of the orchestrator and data warehouse to ensure durable environment health and scalability.
• Cross-functional collaboration : collaborate within an international environment to provide your expertise to data scientists, analysts and business stakeholders.

Requirements

What we offer