Data Engineer

🔥 7 minutes ago

🇭🇷 Croatia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 18%

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Logo of ERGOMED

ERGOMED

1001 - 5000 employees

Founded 1997

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

ERGOMED is a global group providing specialized services to the biotechnology and pharmaceutical industries. It operates under different service lines, including Ergomed Clinical Research, PrimeVigilance, and ADAMAS Consulting, and is dedicated to providing full-service clinical research organization (CRO) capabilities. Focused on oncology, rare diseases, and complex trials, it also offers end-to-end pharmacovigilance and medical information services, as well as comprehensive GxP audits. Ergomed is committed to supporting drug development with a global presence in around 100 countries.

📋 Description

• Design, build, and optimize scalable data integration pipelines from cloud, on-premise, and API sources • Transform and cleanse raw data 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 • Implement data quality checks and governance standards to ensure data integrity • Partner with data scientists and analysts to optimize machine learning models • Enable business stakeholders to effectively consume data • Work closely with IT and business stakeholders to operationalize reliable data solutions

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related quantitative field • Proven experience in data management, including data integration, modeling, optimization, and quality • Experience developing analytical platforms that drive concrete business value • Strong background collaborating with cross-functional teams and business stakeholders on enterprise data initiatives • Strong understanding of Data Warehouse, Data Lake/Lakehouse, Data Fabric, Data Mesh, and MPP engines • Experience with SQL, NoSQL, PostgreSQL, Oracle, Hadoop, Kafka, Airflow, and Spark • Intermediate experience with BI tools such as PowerBI, Tableau, or Looker • Experience building data solutions supporting AI, ML, and BI initiatives • Basic knowledge of Python, R, Databricks, TensorFlow, SAS, or similar tools • Expert problem-solving and debugging skills • Excellent communication skills for translating complex technical concepts to executive, business, IT, and quantitative stakeholders • High ethical standards and strong commitment to regulatory compliance

🏖️ Benefits

• Remote work option • Collaborative and passionate team environment • Opportunity to contribute to work that helps bring safe and effective pharmaceutical treatments to patients • Diverse and inclusive workplace where everyone is welcome and every voice counts

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