Data Engineer

BELIEVE IN LIFE. Join a company that takes you further!

Galenicum is one of the fastest growing companies in the pharmaceutical sector! We are enthusiastic about life, devoting our talent and effort to providing high-quality affordable pharmaceuticals worldwide.

People are the key to our present and future success, so we carefully select candidates that meet the requirements for each position, however most importantly, who also fit with our cultural DNA and values.

Here's the lowdown on what your role will actually look like (spoiler alert: it's awesome!)

We are looking for a Data Engineer to join our Data Analytics Team.

What you'll be rocking:

• Design, develop, and maintain scalable and reliable data pipelines to ingest, process, and transform data into the company's BigQuery Data Warehouse.
• Oversee the day-to-day maintenance, performance monitoring, and optimization of the BigQuery Data Warehouse to ensure data availability, integrity, and efficiency.
• Collaborate with data analysts, BI specialists, and business stakeholders to understand data requirements and translate them into technical solutions.
• Implement data quality checks and ensure data governance policies are adhered to within the DWH.
• Develop and manage data models within BigQuery to support analytical and reporting needs.
• Work on data enrichment initiatives, integrating various data sources to enhance the value of our datasets.
• Troubleshoot and resolve data-related issues in a timely manner.
• Document data pipelines, DWH architecture, and data transformation processes.
• Stay current with Google BigQuery best practices, new features, and emerging trends in data engineering.
• Contribute to the continuous improvement of data management processes and the overall data strategy.

What you bring to the table:

• 1-3 years of experience in in data engineering, with a focus on data warehousing and ETL/ELT development.
• Demonstrable experience working with Google BigQuery and other GCP data services (e.g., Dataflow, Pub/Sub, Cloud Storage) is highly desirable.
• Experience in building and optimizing data pipelines for large datasets.

Educational milestone:

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics or a related field.
• Excellent level of scientific and business English, spoken and written.

Your key superpowers:

• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and experience with Google BigQuery is ideal.
• Hands-on experience in designing, building, and maintaining data warehousing solutions.
• Understanding of ETL/ELT processes, data modeling, and data pipeline architecture.
• Proficiency in at least one programming language relevant to data engineering (e.g., Python).
• Experience with data transformation, data cleansing, and data enrichment techniques.
• Knowledge of data quality frameworks and data governance principles.
• Familiarity with cloud platforms, particularly Google Cloud Platform (GCP).
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
• Strong organizational and time management skills; ability to manage multiple tasks simultaneously.
• Eagerness to learn and adapt to new technologies and methodologies in the data space.

We're looking for someone who works hard, plays hard, and laughs harder. Sound like you?

Come aboard. Believe in life