Specialist Digital Data Engineer

The ideal candidate should possess a minimum of 6 years of experience in data modelling, data engineering, with also a very good knowledge on SAP technical aspects.

You excel at coaching and managing Data Engineers, providing guidance, mentorship, and support to foster their professional growth and ensure project success. Your keen eye for improvement opportunities and demonstrated ability to deliver solutions in cross-functional environments make you an invaluable asset to our team.

Main responsibilities:

• Propose and establish technical designs to meet business and technical requirements.
• Develop and maintain data engineering solutions based on requirements and design specifications using appropriate tools and technologies.
• Discuss with the business to understand the needs and translate it to specifications, thanks to SAP knowledge
• Create and optimize data pipelines / ETL pipelines for performance.
• Test and validate developed solutions to ensure they meet requirements.
• Create design and development documentation based on standards for knowledge transfer, training, and maintenance.
• Work with business and product teams to understand requirements and translate them into technical needs.
• Adhere to and promote best practices and standards for code management, automated testing, and deployments.
• Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases.
• Develop automated tests for CI/CD pipelines.
• Gather and organize large and complex data assets, and perform relevant analysis.
• Conduct peer reviews for quality, consistency, and rigor for production-level solutions.
• Develop automatic mechanism to ensure consistency of data from SAP to SAP HUB.
• Communicate results and findings in a clear, structured manner to stakeholders.
• Coach other members of the data engineering team on workflows, technical topics, and pipeline management.
• Coach and manage junior Data Engineers, providing guidance, mentorship, and support to foster their professional growth and ensure project success.
• Stay up to date on the companys standards, industry practices, and emerging technologies.

About you

• Functional Requirements & Qualifications:
• Experience working with cross-functional teams to solve complex data architecture and engineering problems.
• Demonstrated ability to quickly learn new data and software engineering technologies.
• Good knowledge of SAP data model
• Good understanding of agile/scrum development processes and concepts.
• Ability to work in a fast-paced, constantly evolving environment and manage multiple priorities.
• Strong technical analysis and problem-solving skills related to data and technology solutions.
• Excellent written, verbal, and interpersonal skills with the ability to communicate ideas, concepts, and solutions to peers and leaders.
• Pragmatic and capable of solving complex issues with technical intuition and attention to detail.
• Service-oriented, flexible, and approachable team player.

Technical Requirements & Qualifications:

• Bachelors Degree or equivalent in Computer Science, Engineering, or a relevant field.
• 6+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or a comparable role with relevant technologies and tools, such as Informatica/IICS/SAP.
• Strong understanding of data structures and algorithms.
• Working knowledge of scripting languages (Python, Shell scripting).
• Experience with SAP Technical aspect linked to data (SAP data model)
• Experience with SAP
• Experience with cloud-based data platforms (Snowflake is a plus).
• Experience with SAP SAC is a plus
• Experience with SAP BW is a plus
• Experience with job scheduling and orchestration tools (Airflow is a plus).
• Proficient in SQL and relational database technologies/concepts.
• Experience working with data models and query tuning.

Education

• Bachelors Degree or equivalent in Information Technology or Engineering

Languages

• Fluent spoken and written English