Data Engineer Submission Data and Content Generation & Reuse (AIDCG) - Pharma R&D

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Senior IT Data Engineer is responsible for leading, designing, developing, and maintaining scalable and robust data pipelines and infrastructure. This role involves independently building ETL/ELT processes, optimizing data storage solutions (such as data warehouses and data lakes), ensuring data quality and reliability, and monitoring data systems. You will collaborate closely with data scientists and analysts to meet their specific data requirements, utilizing strong programming skills in Python or Scala, expert SQL knowledge, and proficiency in big data technologies like Spark.

• →Scope / (Content Leadership): Leads the design, build, and maintenance of scalable data pipelines. Works independently to execute specific data engineering projects from start to finish.
• →Accountability/Problem Solving: Solves complex data ingestion and processing problems. Optimizes data flows and actively enhances overall system performance.
• →Stakeholder Management: Engages directly with broader business units and data scientists to thoroughly understand and meet their data needs. Communicates effectively with both technical and non-technical stakeholders.
• →Integrate data from databases, APIs, applications, files, streaming platforms, and third-party systems.
• →Develop robust data transformation and processing workflows using SQL, Python, and distributed processing technologies.
• →Impact/Strategy: Handles big-sized data engineering projects. Implements robust strategies that significantly improve the organization's data infrastructure.
• →Complexity / (Product Size): Manages complex, large-scale data systems. Integrates multiple diverse data sources and ensures efficient, reliable data flow across platforms.
• →Develop reusable engineering components and follow software engineering practices including Git, CI/CD, testing, code reviews, and documentation.
• →Collaborate with technical leads across Data, Content, Integration, UI, and Platform, as well as architects, product teams, and business stakeholders, to translate business and technical requirements into scalable solutions.

• Exceptional communication and collaboration skills, with the proven ability to engage effectively with both technical audiences (like data scientists) and non-technical business stakeholders.
  
  Shift: CET time zone
  #Hyderabad2026

• Demonstrated experience handling big-sized data engineering projects and managing complex, large-scale data systems.
• Proven track record of independently building ETL/ELT processes and optimizing data storage solutions such as data warehouses and data lakes.
• Experience ensuring data quality, reliability, and monitoring data systems.
• Hands-on experience with at least one major cloud platform: AWS, Azure or GCP.
• Understanding of data formats and technologies such as Parquet, JSON, Delta Lake.
• Strong understanding of data quality, reliability, security, and governance principles.

• Proficiency in programming languages such as SQL, Python, Java, or Scala.
• Strong, expert knowledge of cloud platforms and Big Data tools, specifically Hadoop and Spark.
• Advanced capability to solve complex data ingestion and processing problems, and to optimize data flows for enhanced system performance.

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.