Data Engineer

Job description

Join a Market Leader

Hovione is an independent family owned international group of companies. From the beginning, we have set ourselves above and apart through our innovative technological and productive capabilities, reaching a top spot in the world market as an integrated Contract Development and Manufacturing Company dedicated to helping Pharmaceutical Customers bring new and off-patent drugs to market.

Our people are the main asset for our continued success. Reaching over 1950 team members, from 36 different nationalities, that are located across Asia, Europe and North America (Portugal, US, Macao, Ireland, China, Hong Kong, Japan, India, and Switzerland), including 4 production sites.

Working at Hovione means reaching for innovation and excellence in everything we do: for our clients, our partners and, above all, our patients. That is why we are In it for life.

You will be responsible to:

• Enable your stakeholders to make data-driven decisions by surfacing critical data from many different

sources in the self-service analytics platforms

• Own the end-to-end creation of data products by designing / implementing ETL and ELT jobs to support

analytics products.

• Provide technical solutions ensuring quality, performance and scalability of the self-service analytics platform.

• Participate in development sprints, implement tests and automate when possible.

• Work as a trusted partner of a diverse group of stakeholders across Product Owners, Data Scientists, Developers and user areas. Propose and implement bespoke analytics solutions to address their business / technical challenges.

• Work in multi-disciplinary team to build data products that can tell data stories utilising classic BI tools (i.e. Qlik, Superset) or other dashboards technologies (i.e. Shiny, Dash, Angular)

• Educate a diverse group of data users to utilise ns4 and reporting tools, and enable self-serve analytics

• Establish periodic routines for Data Warehouse and Data Lake management to ensure data consistency

• Build data endpoints to connect applications and visualization tools to the data warehouse and data lake

• Ensure all assigned tasks are planned and delivered on time, safely, efficiently, reliably and in a cost-effective manner

• Propose improvements to the area as appropriate and solve problems

• Make quality and timely decisions within the operational technologies and data tasks under her / his responsibility

• Gather relevant data to inform the decision makers regarding complex issues

• Comply with all IT governance, standards and policies in practice in Hovione

• Execute professional activities in compliance with GMP and HSE guidelines, internal and external requirements as well as promote the implementation and maintenance of Hovione´s policies, systems and procedures (COPs, HBR, SOPs and others)

We are looking to recruit a Candidate:

• University, or equivalent, qualification in Computer Engineering or similar scientific field (mandatory)

• Typically requires 3-5 years of relevant experience in automated control systems, preferably in

pharmaceutical sector

• Strong understanding and knowledge of databases technologies (SQL, MongoDB, PostgreSQL)

• Broad knowledge on Data Warehousing techniques and framework (e.g. SQL Integration Services,

Pentaho DI, Talend)

• Experience with data visualization tools such as Qlik, Apache Superset, R Shiny, Dash, etc. is a plus

• Basic knowledge in one or more of the following programming/scripting languages: R, Python, Node,


• Fluency in English is a requirement

• Computer literate with good working knowledge of the MS Office package

Hovione is a proud Equal Opportunity Employer

Inclusion and diversity are key to us. At Hovione, that means a work environment where differences are valued, and everyone is treated with fairness and respect. We want all our team members worldwide to feel supported, respected, and have the opportunity to achieve their full potential, regardless of their age, gender, religion, disability, sexual orientation or ethnicity.

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