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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У вакансии понятный фокус на data engineering, современный стек Azure и значимая сфера life sciences, но без зарплаты и с консалтинговой моделью работы условия оплаты и стабильность повседневной работы остаются неясными.
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Зарплата не указанаПроектная работаСовременный стекПонятные задачиВлияние на медицинуРазвитие и обучение
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer – DInA – DK/ES (Azure Databricks): Building and automating robust data ingestion and transformation pipelines for pharmaceutical analytics projects with an accent on Azure Databricks, Azure Data Factory, SQL, Python, and PySpark. Focus on data quality, traceability, end-to-end testing, layered data architectures, and reliable integration of complex data sources.
Location: Spain or Denmark
Company
hirify.global is a business and technology consulting company focused exclusively on life sciences, delivering technology and data solutions for pharmaceutical companies and biotech startups.
What you will do
Build, automate, and maintain data ingestion pipelines for structured, semi-structured, and unstructured data.
Develop data processing solutions with Azure Databricks, Azure Data Factory, SQL, Python, and PySpark.
Apply data quality practices, error handling, monitoring, auditing, and data lineage controls.
Design and execute end-to-end tests covering data flows from source to target.
Collaborate with business analysts, data privacy officers, quality assurance teams, and pharmaceutical domain experts.
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
At least 2 years of hands-on experience in data engineering and medium- to complex-scale projects.
At least 2 years of experience with cloud data transformation platforms such as Azure Databricks, AWS, or GCP.
At least 2 years of experience with Python or an equivalent scripting language.
Experience with SQL, relational databases, Azure data services, Databricks, ETL/ELT, data modeling, and layered data architectures.
Experience with Power BI, Tableau, or Qlik, plus familiarity with Veeva, Salesforce, and IQVIA data models.
Nice to have
Certifications related to cloud data platforms.
Familiarity with RESTful APIs, Git, DevOps, and CI/CD processes.
Culture & Benefits
Flexible ways of working based on trust, autonomy, and balance.
Support for physical, mental, and social wellbeing.
Ongoing learning and professional development.
Modern work equipment and tools.
Work on technology and data challenges affecting patients and healthcare systems.
Hiring process
Applications are submitted in English.
Applications are reviewed continuously.
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