Data Engineer

The Data Engineer will build manage and optimize data integration pipelines and infrastructure to drive enterprise-wide analytics and business intelligence initiatives. Working closely with IT and key business stakeholders they will operationalize reliable data solutions while ensuring strict compliance with data governance security and quality standards. 

What you will do:

• Design build and optimize scalable data integration pipelines from various sources (cloud on-premise APIs).
• Transform and cleanse raw data into usable formats for advanced analytics and business intelligence.
• Automate manual data preparation tasks using modern data architectures and tools.
• Monitor system performance troubleshoot bottlenecks and optimize workflows for maximum efficiency.
• Ensure strict data integrity by implementing robust quality checks and governance standards.
• Partner with data scientists and analysts to optimize ML models and empower business stakeholders to effectively consume data.

Qualifications :

Education & Experience:

• Bachelors degree in Computer Science Data Science Software Engineering or a related quantitative field (Masters degree or equivalent experience preferred).
• Proven experience in data management (data integration modeling optimization and quality) and developing analytical platforms that drive concrete business value.
• Strong background collaborating with cross-functional teams and business stakeholders on enterprise data initiatives.

Technical Skills:

• Data Architecture: Strong understanding of Data Warehouse Data Lake/Lakehouse Data Fabric Data Mesh and MPP engines.
• Database & Pipeline Technologies: Experience with SQL NoSQL PostgreSQL Oracle Hadoop and Apache tools (Kafka Airflow Spark).
• Analytics & BI: Intermediate experience with BI tools (PowerBI Tableau Looker etc.) and building data solutions to support AI ML and BI initiatives.
• Data Science Tools: Basic knowledge of Python R Databricks TensorFlow SAS or similar tools.

Soft Skills:

• Expert problem-solving and debugging skills to resolve issues in complex data systems.
• Excellent communication skills with the ability to translate complex technical concepts for executive business IT and quantitative stakeholders.
• A creative energetic self-starter with high ethical standards and a strong commitment to regulatory compliance.

Additional Information :

When you join Ergomed Group you make a difference by helping to bring safe and effective pharmaceutical treatment to patients around the world. Youll join a passionate and collaborative team of experts in clinical research pharmacovigilance and quality consulting.  

We are diverse in many ways yet our values unite us. Our values are how we work not words on a wall. If they sound like you you will feel at home here. 

• Quality: we hold ourselves to the standard patients deserve. 
• Integrity and trust: we do the right thing especially when it is hard. 
• Drive and passion: we care about the outcome because someone is waiting on it. 
• Agility and responsiveness: we move quickly because patients cannot wait. 
• Belonging: everyone is welcome and every voice counts. 
• Collaborative partnerships: we go further by going together. 

We look forward to welcoming your application. 

Remote Work :

No

Employment Type :

Full-time