You will be the responsible for
• Lead and participate in design sessions with Enterprise and Hub Cloud/IT Engineering teams, Data Scientists, Product Managers, business and IT stakeholders, that result in design documentation for data processing, storage and delivery solutions.
• Understand business needs and processes
• Design, development and maintenance of robust data architecture concepts for our systems and digital use cases (Manufacturing Execution Systems, Process Control Systems, Enterprise Resource Planning)
• Cooperation with Product Managers, business and functional IT stakeholders and apply this knowledge to identifying business problems that could be solved.
• Evaluate new technologies or new concepts, like Data Mesh, including performing POCs and presenting results to others, with a goal of providing technical recommendations
• Challenge the team to improve processes and methodologies
• Implement data solutions according to design documentation using a variety of tools and programming language, like Kafka, SQL and non-SQL Databases, Python etc.,
• Provide reliable estimates for short term projects and assist in large scale project estimation
• Collaborate with data engineers and stewards within the team and across data, technical platforms and product teams
• Represent the team at various cross team meetings
• Create and maintain design and code documentation in GitLab/GitHub, Confluence or Azure DevOps, SharePoint
We would expect from you
Bachelor´s degree in Computer Science, Software Engineering, or related field,
• 5+ years of professional software engineering experience or Master´s degree with 3 years of relevant experience
• Experience in dealing with structured and unstructured data from various sources as well as in the development of concepts for data storage, data lineage, data catalogues
• Experience with data ontologies and data taxonomies
• Experience with SQL, cloud platforms and knowledge of decentralized systems and agile software development
• Interest in new methods and technologies as well as enthusiasm for data architecture challenges
• Ideally experienced in Pharmaceutical Product Supply
• Experience with data architecture and modeling, including designing physical models for datasets
• Proficiency in working with relational databases such as Postgres, MySQL, Oracle, etc.
• Strong interpersonal skills
Nice to have
• Pharma, life sciences or a related discipline
• Platform-as-a-Service software such as Cloud Foundry or Kubernetes
• Stream processing, e.g., Kafka, Spark Streaming, Akka, etc.
• Knowledge of machine learning or other data science practices
Next steps
If you´re interested in this role, click ´apply now´ to forward an up-to-date copy of your CV, or call us now.
If this job isn´t quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.
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