Senior Data Engineer (Databricks)

Location: Lisbon, Portugal

Company

hirify.global is a global biotechnology company developing innovative medicines and technology solutions to support better patient outcomes.

What you will do

• Design, develop, test, deploy, and support batch and near-real-time data pipelines across source, landing, curated, and analytics layers.
• Build cloud-based lakehouse architectures and data products using Databricks, Python, SQL, Spark, Delta Lake, and AWS.
• Develop data models, curated datasets, API integrations, and reusable ingestion frameworks for analytics and reporting.
• Implement orchestration, CI/CD, automated testing, version control, deployment, and environment management practices.
• Own data quality, reconciliation, observability, performance, scalability, cost efficiency, and production issue resolution.
• Provide technical guidance, conduct design and code reviews, document architecture, and mentor engineers in an Agile/SAFe environment.

Requirements

• 9+ years of professional experience in data engineering, data platform engineering, or a related field.
• Bachelor’s degree in computer science, information systems, engineering, or a related discipline, or equivalent practical experience.
• Strong hands-on proficiency with Python and SQL and experience with Apache Spark or a comparable distributed processing framework.
• Experience with Databricks, AWS or other cloud data platforms, lakehouse or data lake technologies, data modeling, ETL/ELT, API integration, and workflow orchestration.
• Ability to communicate technical designs and data concepts clearly to technical and non-technical stakeholders.

Nice to have

• Experience in biotechnology, pharmaceuticals, healthcare, or another regulated industry.
• Experience with Delta Lake, cloud-native architecture, infrastructure as code, data cataloging, lineage, and automated data quality frameworks.
• Experience supporting Tableau, Power BI, or similar visualization solutions.
• Experience in global matrixed organizations and Agile or SAFe environments.
• Exposure to machine learning or AI data foundations and responsible data enablement.

Culture & Benefits

• Work in a diverse organization of more than 500 employees representing over 40 nationalities.
• Collaborate with product owners, architects, analytics teams, validation engineers, governance, security, and business stakeholders.
• Support data solutions with privacy, access controls, retention, auditability, HIPAA, and GDPR considerations.
• Work in an environment focused on innovation, reliability, security, maintainability, and continuous improvement.