Data & Analytics Engineer

At Hovione, we help partners turn scientific innovation into medicines that reach patients around the world. For more than 65 years, we have connected science and technology to scale complex ideas into high-quality and innovative solutions that truly make a difference.

As an international Contract Development and Manufacturing Organization (CDMO), we support the development and manufacture of drug substances, intermediates and drug products across the full life cycle. We are globally recognized for our leadership in specialized technologies such as Spray Drying and Continuous Tableting. But what truly sets us apart is not just what we do — it is how we do it: with purpose, care, collaboration and a deep commitment to doing the right things right.

Our people are the reason for our success. We are a global and diverse team of more than 2,600 team members across Europe, the USA and Asia, bringing together different experiences and perspectives to help our partners to overcome complex challenges. We believe that an inclusive environment — where everyone, regardless of background, identity or ability, is respected, heard and empowered to contribute — is essential to drive innovation, ensure quality, and secure long‑term sustainable success.

And as we grow, so do the opportunities for our people to develop, broaden their perspectives and build meaningful careers. Because at Hovione, better starts with those who choose to make a difference every day. Will you be one of them?

• Partner with stakeholders across functions as a data business partner, identifying high impact use cases and areas for improvement;  

• Apply database modeling and database exploration skills with data architecture strategy and design principles to support metrics, analytics, AI/machine learning, and self-service business intelligence across the company. 

• Build, standardize, and maintain reporting and self-service analytics as part of data lake and data mesh concepts;  

• Preprocess and engineer features from structured and unstructured data, ensuring quality, lineage, and reliability;  

• Analyze data from multiple sources to optimize strategies, operations, and portfolio decisions;  

• Implement models and data products with cross functional teams; set up monitoring, alerting, and lifecycle management;  

• Leverage cutting-edge cloud technologies such as AWS (preferable) and Azure and data warehouses 

• Communicate insights clearly through compelling visualizations and narratives tailored to technical and business audiences;  

• Deliver projects safely, on time, and cost effectively while upholding IT governance, GMP/HSE, and compliance standards (COPs, SOPs);  

• Proactively propose process optimizations, make timely data-driven decisions, and demonstrate resilience through change.  

• University degree in Computer Science, Engineering, Mathematics or a similar scientific field;  

• 4+ years of experience in data management and data analytics with considerable experience in manipulating large datasets and data products; 

• Strong autonomy to lead analytic solutions from design to deployment; and strong foundation in analytics framework and data management; 

• Strong experience with cloud data-lake architecture and technology, in particular AWS; familiarity with Python data processing libraries; knowledge of IaC is a plus; 

• Advanced proficiency in SQL and Phyton; familiarity with R and object‑oriented scripting is a plus; 

• Strong experience with Git for version control, including branch management, code reviews, and collaborative workflows in agile teams is a plus; Hands-on experience with SQL Server Integration Services (SSIS) for ETL/data integration workflows is a plus 

• Solid data modeling and experience in data visualization and reporting technologies-especially AWS QuickSight (preferable), MS Fabric/PBI or QlikSense. 

• Exceptional communication and mediation skills with the ability to influence and engage stakeholder and ability to understand technical concepts and turn them into business terms.  

• Familiarity with agile work methodologies (e.g. SCRUM). 

• Fluency in English is a requirement; Portuguese proficiency strongly preferred (ability to engage stakeholders in both languages) 

• Knowledge of GMP (even high‑level), data governance, and safe‑by‑design practices; team player with resilience and a long‑term mindset; 

Hovione is a proud Equal Opportunity Employer

Inclusion and diversity are key to us. We are committed to creating an inclusive recruitment experience and welcome applications from all qualified candidates. If you require any reasonable accommodation or support during the application or interview process, please contact us, and we will be happy to assist.

Notice to Agencies and Search Firms Representatives

Hovione does not accept unsolicited résumes from agencies or search firms for this job posting. Any resumes submitted to Hovione by a third-party agency or search firm without a valid written and signed search agreement will become the sole property of Hovione. No fees will be paid if a candidate is hired for this position as a result of an unsolicited referral. Thank you for your understanding.