Data Engineer

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, Mongo
  
  DB, 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

• Degree in computer science or data engineering certification.
• Knowledge of Python programming language. Experience with Dataframe libraries (Polars, Pandas, Arrow, ...), and database toolkits (SQL Alchemy, ...).
• Hands-on experience with SQL.
• Knowledge of data engineering concepts and open-source ecosystem (Airflow, DBT, DuckDB, ...).
• Experience with relational databases. Knowledge of MySQL and Postgre
  
  SQL-specific features is a plus.
• Knowledge of semantic or hybrid search engines is a plus.
• Excellent problem-solving, communication, and organizational skills. Desire to learn, explore, discover new concepts and technologies.
• Proven ability to work independently and within a team.

What we offer

• The opportunity to contribute to the academic / scientific community;
• Team bond strengthening through team-building events;
• Professional growth opportunities with our global training system;
• Working in a collaborative, diverse, and socially responsible team;
• Company retreat facility;
• Full-coverage insurance for accidents / daily sickness;
• Prime location near Basel train station and city center;
• And more

Data Engineer
• Basel
· Basel - MDPI Headquarters