Global Data Engineering Lead

vor 1 Monat

Basel, Schweiz F. Hoffmann-La Roche Gruppe Vollzeit

Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

The Position

The Opportunity

At Roche, we thrive to deliver more benefits to our patients as part of our 10-year Pharma vision. An integral part of achieving this vision is to deliver new and innovative data analytics solutions to our scientists across Pharma Technical Operations (PT). To do so, we have formed a new organization called PT Digital and Operational Excellence (PTE) with the aspiration to digitally transform and become a lean organization.

PTE is the organization that catalyzes the global development and execution of PT’s Digital and Operational Excellence strategy to enable PT to realize our performance promises. We build a strong cross-functional and inclusive community, put the power of data into the hands of our people, further develop the Lean and Digital skills across PT, and scale up our Digital and Advanced Analytics solutions, for the benefit of our colleagues and patients.

We aim to activate data citizenship and a digital mind, revolutionize our FAIR data ecosystem and systems landscape, re-design excellent processes, and generate transformative insights. We collaborate closely with global functions to deliver impactful value to our patients.

Position Overview

As the Lead Data Engineer at Roche PT, you will be instrumental in developing and optimizing the data infrastructure that powers our pharmaceutical operations and data products. Your expertise will guide a team of data engineers in creating and enhancing data systems that enable efficient data collection, processing, and analysis to support impactful business insights.

Key Responsibilities

  • Design and develop scalable data pipelines and storage solutions for real-time and batch processing, leading the creation of data products that deliver actionable insights and enhance operational decision-making while ensuring data integrity, availability, and performance across all platforms.

  • Lead and mentor a team of data engineers, cultivating a culture of innovation and continuous improvement. Collaborate closely with manufacturing, quality, and supply chain teams to align data products with business objectives. Partner with IT and DevOps teams to ensure the seamless integration and performance of data systems across the organization.

  • Establish and enforce data governance standards to ensure compliance with regulatory requirements. Safeguard sensitive data across all systems by implementing robust security measures. Proactively identify and address data quality issues to maintain high accuracy and reliability in our data assets.

  • Adhere to data engineering standards, including data contracts and validation protocols, to ensure data quality and integrity.

  • Stay abreast of data engineering trends and implement new tools and technologies while driving continuous improvement initiatives to optimize data processing and enhance system performance.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

  • Experience:

    • 10+ years in data engineering with experience in designing large-scale systems.

    • Proven leadership in managing data engineering teams and complex projects.

  • Technical Skills:

    • Proficiency in Python, Java, SQL or Scala, with experience in big data technologies (e.g., Hadoop, Spark).

    • Expertise in cloud platforms (preferably AWS) and data warehousing solutions (preferably Snowflake).

    • Familiarity with data modeling and ETL tools (preferably Talend).

  • Preferred Qualifications:

    • 5+ years of experience in the pharmaceutical or healthcare industry.

    • Knowledge of regulatory requirements (e.g., GMP, FDA).

    • Experience with AI-driven data solutions and machine learning pipelines.

Who we are

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

Basel is the headquarters of the Roche Group and one of its most important centres of pharmaceutical research. Over 10,700 employees from over 100 countries come together at our Basel/Kaiseraugst site, which is one of Roche's largest sites. Read more.

Besides extensive development and training opportunities, we offer flexible working options, 18 weeks of maternity leave and 10 weeks of gender independent partnership leave. Our employees also benefit from multiple services on site such as child-care facilities, medical services, restaurants and cafeterias, as well as various employee events.

We believe in the power of diversity and inclusion, and strive to identify and create opportunities that enable all people to bring their unique selves to Roche.

Roche is an Equal Opportunity Employer.

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