Cloud and Systems Integration Developer
Maxon
Build Azure infrastructure and enterprise integrations supporting Maxon’s creative software operations. Automate deployments, identity workflows, and system connections across the organization.
Odpri
ERGOMED je globalna skupina za zdravstvene storitve, ki podpira biotehnološka in farmacevtska podjetja skozi celoten življenjski cikel razvoja zdravil. Njena podjetja vključujejo Ergomed Clinical Research, PrimeVigilance in ADAMAS Consulting, ki zagotavljajo storitve organizacij za klinične raziskave, podporo na področju farmakovigilance in medicinskih informacij ter revizije GxP. Podjetje sodeluje pri kliničnih preskušanjih na področju onkologije, redkih bolezni in drugih zahtevnih področij, njegovo poslovanje pa sega v približno 100 držav.
Data Engineer – Croatia (Remote)
Build scalable data pipelines and governed data infrastructure for Ergomed Group’s pharmaceutical research and business intelligence work. Support analytics, AI, and machine learning solutions.
Opis
- Build and optimize data pipelines that connect cloud, on-premises, and API sources
- Prepare raw data for analytics and business intelligence
- Automate manual data preparation with modern architectures and tools
- Monitor performance, resolve bottlenecks, and improve workflows
- Apply data quality checks and governance standards to protect data integrity
- Work with data scientists and analysts to improve machine learning models
- Help business teams access and use data effectively
- Partner with IT and business stakeholders to deliver reliable data solutions
Zahteve
- Bachelor’s degree in computer science, data science, software engineering, or a related quantitative discipline
- Hands-on experience managing data, including integration, modeling, optimization, and quality
- Experience creating analytical platforms that deliver business value
- Background working with cross-functional teams and business stakeholders on enterprise data programs
- Understanding of data warehouses, data lakes and lakehouses, data fabric, data mesh, and MPP engines
- Experience with SQL, NoSQL, PostgreSQL, Oracle, Hadoop, Kafka, Airflow, and Spark
- Intermediate proficiency with BI tools such as Power BI, Tableau, or Looker
- Experience developing data solutions for AI, machine learning, and business intelligence
- Basic knowledge of Python, R, Databricks, TensorFlow, SAS, or comparable tools
- Advanced problem-solving and debugging ability
- Strong communication skills to explain technical concepts to executive, business, IT, and quantitative audiences
- High ethical standards and a commitment to regulatory compliance
Ugodnosti
- Option to work remotely
- Collaborative, engaged team
- Contribute to work supporting the delivery of safe and effective pharmaceutical treatments to patients
- Inclusive and diverse workplace that welcomes everyone and values every voice
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