14 дней назад
Operations Data Engineering Trainee (Databricks)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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TL;DR
Operations Data Engineering Trainee (Databricks): Supporting the development and maintenance of data pipelines and curated datasets for pharmaceutical industrial operations with an accent on Databricks, Lakehouse architecture, data quality, and operational data transformation. Focus on building production data engineering practices, testing pipelines, applying governance controls, and exploring AI tools for manufacturing decision-making.
Location: Spain; Remote. Industrial Operations in Barcelona.
Company
develops medical dermatology solutions focused on unmet patient needs and improving patients’ lives.
What you will do
- Support the development, testing, and documentation of data pipelines and curated datasets on Databricks.
- Clean, transform, and prepare data from SAP, manufacturing, and serialization systems.
- Perform data quality checks and document datasets and workflows.
- Write and maintain code in Git repositories using good coding practices.
- Support the exploration of AI and Generative AI tools for industrial operations.
Requirements
- Bachelor’s or Master’s degree, or current studies, in Data Engineering, Computer Science, Data Science, Engineering, Mathematics, or a related field.
- Programming experience with Python and solid SQL skills, including queries, joins, and aggregations.
- Understanding of data structures and data modeling concepts.
- Experience with Git repositories and code documentation.
- Analytical mindset, attention to detail, curiosity, problem-solving ability, and collaborative skills.
Nice to have
- Familiarity with PySpark, Databricks, Apache Spark, and Delta Lake.
- Object-oriented Python experience for framework-based pipeline development.
- Knowledge of Azure, including Data Factory and Storage, and cloud data environments.
- Understanding of data governance, data quality, master data management, and data integrity in regulated industries.
- Experience with Power BI or other visualization and business intelligence tools.
Culture & Benefits
- Work in an environment focused on independent thinking, ownership, and meaningful impact.
- Gain practical knowledge of industrial operations in pharmaceutical companies and their regulatory constraints.
- Develop production data engineering practices, including testing, CI/CD, and the Databricks DevOps lifecycle.
- Build communication skills for working with business stakeholders.
- Opportunity to develop foundational capabilities in data engineering and analytics.
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