Job Information
Sanofi Group Patient Collect & Global Insights, Data Engineering Manager in Budapest, Hungary
Job title : Data Engineering Manager
- Location: Budapest
About the job
Digital Insights & Analytics supports the Sanofi Specialty Care business unit with Patient and Market specific key performance indicators across different therapeutic areas: Immunology, Rare Diseases, Rare Blood Disorders, Oncology, Neurology. In this role you would join our talented team in Budapest, while helping establish the new data technical deliver centre in Budapest. It is a unique opportunity to join a new team within an established organization.
About the Digital Products in scope
Patient Collect is a tool developed in house to capture monthly patient counts for different patient categories, diseases, products across 50+ countries. The data collected is leveraged across the organization for forecasting and analytics.
Global Insights is the reporting/advanced analytics platform for Global Specialty Care business operations, forecasting, analytics and marketing. It consolidates Specialty Care commercial sources from different data foundations and Vendor provided data sources.
Main responsibilities:
Lead and manage a team of data engineers and visualization engineers, provide guidance, mentoring, and support to ensure successful product delivery
Design and implement scalable and efficient data pipelines for ingesting, processing, and analysing large volumes of structured and unstructured data
Develop and maintain data models, schemas, and metadata to support analytics and reporting needs
Utilize cloud technologies, particularly Snowflake, AWS and Azure, to build and manage data infrastructure in a scalable and cost-effective manner
Oversee the implementation and maintenance of ETL processes using tools such as Informatica, IICS, and custom Python scripts
Drive the adoption and utilization of BI and analytics tools such as PowerBI, Dataiku for data visualization and reporting
Act as a relay product owner for data engineering and visual analytics initiatives, defining and prioritizing requirements, and collaborating with stakeholders to ensure alignment with business goals
About you
Key Functional Requirements & Qualifications:
Strong technical analysis and problem-solving skills related to data, analytics, and technology solutions
Service-oriented, flexible, and approachable team player
Strong leadership and communication skills with the ability to communicate ideas, concepts, and solutions to peers and effectively lead and manage a team
Adherence to architectural principles, design patterns, and coding standards
Ability to drive the implementation of DevOps practices and automation to streamline the development and deployment processes
Experience working in Agile environments with a deep understanding of Agile/Scrum methodologies and product owner skills
Key Technical Requirements & Qualifications:
10+ years of experience in data engineering, data integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies (ETL/ELT) and tools (Informatica/IICS, AWS, Snowflake and PowerBI a plus)
Proven experience of 2+ years in a data engineering lead/manager role with expertise in data engineering, relational databases, data modeling, advanced analytics, and cloud technologies.
Demonstrated experience in leading technical projects, from planning to successful implementation
Strong proficiency in Snowflake, AWS (particularly S3, Redshift, and EC2), and other cloud-based data technologies
Hands-on experience with ETL tools such as Informatica, IICS, and scripting languages like Python for data manipulation and transformation
Familiarity with BI and analytics tools, especially PowerBI, Dataiku, Tableau for data visualization and advanced analytics
Experience designing and implementing real-time data streaming solutions using tools like Kafka for efficient data processing
Experience managing job scheduling and orchestration using Control-M to ensure timely execution of data workflows
Understanding of data structures and algorithms
Working knowledge of scripting languages (SQL, Python, Java Script, Shell scripting), databases technologies/concepts
Why choose us?
An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team
Exposure to training and certification pathways for technical and functional skills from AWS, Snowflake, Informatica and others
Flexible home office policy, with a possibility to work up to 60% of time from home / where you can easily schedule your office days
Pursue Progress . Discover Extraordinary .
Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video (https://www.youtube.com/watch?v=SkpDBZ-CJKw&t=67s) and check out our Diversity Equity and Inclusion actions at sanofi.com (https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness) !
Discover our Code of Conduct (https://protect-de.mimecast.com/s/0iy3CXQyOpFqkyZ03S6XcFz?domain=protect-eu.mimecast.com/) , that serves as the moral compass that guides us when chasing the miracles of science to improve people’s lives. Please ensure to have read this document, before applying.
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