Senior Specialist, Engineering, Development & Integration

<p>Job Description</p><p></p><p><b>The Position</b> </p><p><span> </span></p><p><span><span>Organon delivers ingenious health solutions that enable people to live their best lives. We are a $6.5 billion global healthcare company focused on making a world of difference for women, their families, and the communities they care for. We have an important portfolio and are growing it by investing in the unmet needs of Women’s Health, expanding access to leading biosimilars and touching lives with a diverse and trusted portfolio of health solutions. </span></span><span><span><span> </span></span></span><span><span>Our Vision is clear: A better and healthier every day for every woman. </span></span><span> </span></p><p><span><span> </span></span><br/><span><span>An exciting opportunity has arisen for a senior<span> </span></span></span><b><span>D</span></b><b><span>ata<span> </span></span></b><b><span>Engineer</span></b><span><span><span> </span>to join our growing Data, Analytics and Insights competency as part of our Digital a Commercial Strategy. </span></span><span> </span></p><p><span> </span></p><p><span><span>This role can be based in Lisbon or Prague.</span></span><span> </span></p><p><span> </span></p><p><b><span>Responsibilities:</span></b><span><span> </span></span><span> </span></p><p><span> </span></p><p><span><span>• Design, build, and maintain scalable data products that enable data-driven decision-making across the organization.</span></span><span><span> </span></span><br/><span><span>• Develop and optimize systems to ingest, process, and store data from various sources, ensuring seamless integration with data products.</span></span><span><span> </span></span><br/><span><span>• Architect and implement data models, databases, and warehouses tailored to support innovative data products and solutions.</span></span><span><span> </span></span><br/><span><span>• Create efficient structures and pipelines for organizing, storing, and delivering data in ways that maximize usability and insights.</span></span><span><span> </span></span><br/><span><span>• Ensure the integrity, security, and compliance of data within all data products and platforms.</span></span><span><span> </span></span><br/><span><span>• Define and uphold standards, guidelines, and best practices for data product engineering.</span></span><span><span> </span></span><br/><span><span>• Identify, design, and implement improvements to enhance the functionality, performance, and scalability of data products.</span></span><span><span> </span></span><br/><span><span>• Collaborate with cross-functional teams to align data products with business objectives and stakeholder needs.</span></span><span> </span></p><p><span> </span></p><p><b><span>Required Experience and Skills:</span></b><span> </span></p><p><span><span> </span></span><br/><span><span>• 5+ years of experience in data engineering, with a focus on building and delivering data products.</span></span><span><span> </span></span><br/><span><span>• 3+ years of hands-on experience with Snowflake, including designing and managing Snowflake-powered data products.</span></span><span><span> </span></span><br/><span><span>• Proficiency in programming languages like Python and SQL, with a focus on developing data solutions.</span></span><span><span> </span></span><br/><span><span>• Demonstrated expertise in creating and implementing data engineering standards and strategies for data product development.</span></span><span><span> </span></span><br/><span><span>• Experience with integration tools such as Informatica and AWS Glue, particularly in the context of data product pipelines.</span></span><span><span> </span></span><br/><span><span>• Strong understanding of data modeling techniques and their application to develop robust data products.</span></span><span><span> </span></span><br/><span><span>• Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and their role in hosting and scaling data products.</span></span><span><span> </span></span><br/><span><span>• Exceptional analytical and troubleshooting skills to resolve complex issues in data products.</span></span><span><span> </span></span><br/><span><span>• High level of accountability, self-motivation, and a proactive approach to problem-solving.</span></span><span><span> </span></span><br/><span><span>• Strong communication skills in English, with the ability to articulate technical concepts to diverse audiences.</span></span><span><span> </span></span><br/><span><span>• Proven ability to collaborate with teams and stakeholders to deliver impactful data products.</span></span><span><span> </span></span><br/><span><span>• Positive attitude and adaptability to overcome challenges in a fast-paced environment.</span></span><span><span> </span></span><br/><span><span>• Experience in supporting AI-driven initiatives through data products.</span></span><span><span> </span></span><br/><span><span>• Prior involvement in data product implemen