Senior Data Engineer

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 Position Always innovating, we bring together dedicated people and diverse perspectives from across our global network, empowering each other to keep breaking new ground. We are People Insights & Technology (PI&T), part of the People & Culture (P&C) organization. Our vision is to unleash exponential people & business impact through data driven decisions, surfacing actionable insights and embracing people-centric technology. As part of the People Insights Area of Practice (AoP), we work as one team to unlock the full potential of our people data and technology, informing Roche decisions through research-based insights. The Opportunity: Senior Data Engineer to work on an Agile team with other data and software engineers to develop and maintain robust data pipelines and data management systems. Partners closely with data science and business intelligence teams to understand business needs and co-create solutions in service of downstream products. Brings strong attention to detail and a passion for delivering highly accurate and available data to enable downstream insights and drive business value. Delivers enhancements to existing data pipelines and develops new pipelines based on defined requirements with minimal guidance Demonstrates strong understanding of data engineering tools and concepts and considered a SME for most, if not all pipelines Detail-oriented mindset and co-creates pipelines with secure, well-validated data across multiple system domains with other squad members in a way that aligns with long-term strategy for People Insights Who You Are: 5+ years of experience as a Data Engineer. Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Mathematics, or related field. Advanced degrees or certifications in technical or leadership competencies can be advantageous Python experience (Pandas preferred) CI/CD tools and methodologies (GitLab, branches, code reviews, merge requests, etc) Understanding of DataOps Practices RDBMS/NoSQL Docker experience AWS experience preferred (EC2 / Lambda / Glue / S3) Snowflake or similar cloud data platform experience preferred Relocation benefits are not available for this position. The expected salary range for this position based on the primary location of Mississauga is 115,328.00 and 151,368.00 of hiring range. Actual pay will be determined based on experience, qualifications, and other job-related factors as determined by the company. We use artificial intelligence to screen, assess or select applicants for this role. This posting is for an existing vacancy at Hoffmann-La Roche Ltd. Who we are 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. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

Develop and maintain robust data pipelines and data management systems within an Agile team, partnering closely with data science and business intelligence teams to co-create solutions. Deliver enhancements to existing pipelines and develop new ones based on requirements with minimal guidance, ensuring highly accurate and available data.

Candidates must have 5+ years of experience as a Data Engineer and hold a Bachelor's or Master's degree in a related technical field. Required technical competencies include Python (Pandas preferred), CI/CD methodologies, DataOps understanding, RDBMS/NoSQL, and Docker experience, with AWS and Snowflake experience being preferred.

Identified from the job description. Confirm important requirements above.

• Python
• Pandas
• CI/CD
• GitLab
• Code Reviews
• Merge Requests
• DataOps
• RDBMS
• NoSQL
• Docker
• AWS
• EC2
• Lambda
• Glue
• S3
• Snowflake

• Data & Analytics
• Technology
• Software
• Engineering
• Science & Research

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week