Data Engineer

Posted 5 Days Ago
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Zagreb, HRV
Hybrid
Entry level
Biotech • Pharmaceutical
The Role
Builds and optimizes scalable data integration pipelines and infrastructure for enterprise analytics and business intelligence. Transforms, cleanses, and automates data preparation; monitors performance; troubleshoots bottlenecks; and implements data quality and governance standards. Collaborates with data scientists, analysts, IT teams, and business stakeholders to support AI, machine learning, and BI initiatives while maintaining data security, integrity, and regulatory compliance.
Summary Generated by Built In
Company Description

Medicine moves forward here. So will you. 

Clinical trials, safety studies, and audits make safe and innovative pharmaceutical-led care possible. As part of Ergomed Group, you help patients benefit so they experience more of life’s meaningful moments. Biopharmaceutical companies are our clients. Patients are our purpose. 

Ergomed Group brings together Ergomed CRO, PrimeVigilance, Prudentia, and ADAMAS Consulting to help biopharmaceutical companies develop, deliver and safeguard therapies in oncology, rare disease and other complex areas of medicine. Across the Group, our teams turn the signals that clinical trials, safety systems and quality data generate into insight that helps bring safer treatments to patients around the world. 

The science and analysis that guides our work is demanding. And this is where we excel. What defines us, though, is how we work together. Across countries, cultures and time zones, we bring kindness, curiosity and a shared sense of purpose to work that genuinely matters. Ideas are welcome here. Growth is expected. And every person has room to make a real difference to patients' lives. 

Whether you are early in your career or bringing decades of experience, we want you to feel valued for what you do and for who you are. If that sounds like the place you have been looking for, we would love to hear from you. 

Job Description

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:

  • Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related quantitative field (Master’s 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. You’ll 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. 

Skills Required

  • Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related quantitative field
  • Master's degree or equivalent experience
  • Experience in data management, including data integration, modeling, optimization, and quality
  • Experience developing analytical platforms that deliver business value
  • Experience collaborating with cross-functional teams and business stakeholders on enterprise data initiatives
  • Strong understanding of data warehouses, data lakes or lakehouses, 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 Power BI, Tableau, or Looker
  • Experience building data solutions supporting AI, machine learning, and business intelligence initiatives
  • Basic knowledge of Python, R, Databricks, TensorFlow, SAS, or similar tools
  • Expert problem-solving and debugging skills
  • Excellent communication skills for explaining technical concepts to executive, business, IT, and quantitative stakeholders
  • Strong commitment to regulatory compliance and high ethical standards
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The Company
HQ: London
535 Employees
Year Founded: 1997

What We Do

Founded in 1997, Ergomed is a global provider of high-quality services to the biopharmaceutical industry, spanning all phases of clinical trials, post-approval pharmacovigilance, and medical information. Ergomed’s fast-growing services business includes an industry-leading suite of specialist pharmacovigilance (PV) solutions, integrated under the PrimeVigilance brand, and Ergomed Clinical Research, a complete, global Phase I-IV clinical development and trial management services with a strong heritage in the development of drugs in rare diseases and oncology. • 1,400+ highly qualified professionals • Global full-service CRO • 25+ years of experience • Therapeutic specialization in oncology • Strong expertise in rare disease trials • Robust clinical safety system • Choice of leading drug safety databases Our key services include: • Clinical Research Services • Pharmacovigilance • Medical Information • Regulatory • Medical Writing • Site Management • Study Physician Support • Biostatistics • Patient Study Support

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