Senior Data Engineer (m/f/d)

Basel Headquarter

Roche

As a pioneer in healthcare, we have been committed to improving lives since the company was founded in 1896 in Basel, Switzerland. Today, Roche creates innovative medicines and diagnostic tests that help millions of patients globally.

View all jobs at Roche

Apply now Apply later

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

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

The Opportunity

As a member of the PTE Data Engineering and Architecture Team, you will work in multi-disciplinary environments harnessing data to provide real-world impact for our processes and products. You’ll work closely with a team of data scientists, subject matter experts and other data engineers in order to curate, transform and construct features which feed directly into our modeling approach. Additionally, you will contribute to the delivering data products and developing standards to guide data product teams throughout PT.

This role requires an individual who can and wants to collaborate, listen and learn from colleagues, challenge thoughtfully and prioritize impact of work. You will be responsible for finding improvements in advanced data analytic models and data architecture. We are looking for someone who can quickly adapt to an ever changing environment, has a passion to learn and can be trusted to work in the best interests of colleagues.

  • Interface with process SMEs using state-of-the-art technologies, and communicate complex ideas to non-technical/executive audiences

  • Implement data pipelines and data products per SME requirements, collaborate with Analytics translators, and understand/model data landscapes

  • Acquire, ingest, and process data from various sources into Big Data platforms, and prepare data for advanced analytical models

  • Champion delivery of Data Products, contribute to best practices, and coach junior data engineers on key expertise areas

  • Maintain Information Security standards and define the technology stack with the infrastructure team

  • Define templates and best practices for technology stack usage and use creative techniques for impactful delivery in client engagements and internal R&D projects

Who you are

  • University degree with 5+ years in bioprocess manufacturing sciences or 8+ years in fields such as Statistics, Data Science, Mathematics, Software Engineering, Bioinformatics. Proven experience in building/managing data pipelines and developing data products

  • Proficiency in Python, Scala, or Java for data pipelines and data warehousing. Experience with Dataiku and multiple database technologies (Hadoop, MS SQL Server, Oracle, MySQL, Teradata, Snowflake). Knowledge of cloud platforms (AWS, Azure, Google) and software engineering best practices (code reviews, testing frameworks, maintainability, readability)

  • Capable of working with structured, semi-structured, and unstructured data; extracting information and identifying linkages across disparate data sets

  • Ability to clearly communicate complex solutions to audiences with varying levels of technical experience and seniority

  • Deep understanding of Information Security principles to ensure compliant handling and management of process data

  • Strong organizational and interpersonal skills for optimizing results and strengthening relationships. Knowledge of cGMP’s, Health Authority regulations, and Quality Systems

  • Ability to work in international/global environments with 5-15% travel anticipated. Capable of working in clean room environments requiring gowning in hospital scrubs, and able to sit, stand, and move within workspace for extended periods. Able to work on co-located or remote cross-functional teams

Are you ready to apply? We want someone who thinks beyond the job offered - someone who knows that this position can be an outstanding opportunity to craft the future of Roche.

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.

Apply now Apply later
  • Share this job via
  • 𝕏
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  1  0  0
Category: Engineering Jobs

Tags: Architecture AWS Azure Big Data Bioinformatics Data pipelines Data Warehousing Engineering Hadoop Java Mathematics MS SQL MySQL Oracle Pharma Pipelines Python R R&D Research Scala Security Snowflake SQL Statistics Teradata Testing Unstructured data

Perks/benefits: Equity / stock options Flex hours Medical leave Team events

Region: Europe
Country: Switzerland

More jobs like this