Our people made us a
Global Top Employer,
Welcome to Takeda.
Our people made us a
Global Top Employer,
Welcome to Takeda.

Lead Data Engineer

Takeda03.08.2021

Job information

Job description, information about job

We are taking a giant step forward to create a future-ready organization that evolves at the speed of science and technology, to meet the needs of patients by seeking and incorporating novel digital capabilities, data, and agile methodologies.

Our aim is to provide digital solutions that are personalized to each patient’s unique needs and health circumstances. With individual care at the center, we can support patients in actively managing their personal care journey – from the moment they are diagnosed through treatment and beyond.

Our IT team plays an integral role in accelerating this exciting journey and our Technical Capability Center (TCC) is the future home of 250-300 new Takeda employees who will work to create and deliver the products and technologies that will enable these foundational aspirations.

The objective of the role is to provide leadership and technical expertise to the analysis, definition, design and delivery of large, structured or unstructured data across different domains, which may include Neurology, Oncology, Vaccines and other medical/therapeutic areas.

* Manages and influences technical analysis, design, development maintenance and configuration of complex and non-routine data and leads the analysis, definition and design of data and the data architectures, including within R&D.
* Uses specialized in-depth knowledge of advanced data stores and analysis technologies, consults with data specialists and researchers to define datasets, analyze those within team priorities to support research and finding signals for targets.
* Contributes to and takes responsibility for creating future state roadmaps for complex data architectures, data explorations, data analyzes and data modelling within a complex Biology, Omics, Chemistry, Competitive Intelligence, Statistical and other relevant domains.
* Makes recommendations for data architectures, data analyzing methodologies and technology by using deep understanding of data industry trends, data analyzing possibilities, data roadmaps and strategic data plans.
* Guides decisions with projects and other IT groups by using persuasion and negotiation skills to reach agreement on approach and implementation.
* Applies System Development Life Cycle (SDLC) and Information Technology Infrastructure Library (ITIL) to solutions and leads others to work accordingly
* Ensures the codification of data documentation aligned to Takeda Quality Management System (QMS), Software Development Life Cycle (SDLC) and IT Project Life Cycle (ITPLC) standards, policies and procedures.
* Leads a team or teams of data engineers to support Life Science Research Data Initiatives, choosing the appropriate technologies and developing advanced architectures for the largest data problems, including for R&D.
* Represent the team while working on project across domains and commercial. Is internal and external expert to-go-to in how to drive advanced Computer Science and Engineering skills and techniques.
* Maintains relationships with vendors in support of projects and ongoing data operations and expands these relationships.


Offered salary

4300 EUR

Specification of salary conditions

Similarly situated employees earn 4300 a month. Salary is based on experience.

Benefits and other advantages

• Competitive salary based on your experience and skills
• Flexible “Cafeteria” Benefits Plan
• 3 paid sick days per year
• Sick leave compensated up to 10 days
• Up to 5 days of unpaid leave if approved by manager
• Flexible working arrangements
• Company sponsored individual medical insurance plan
• Providing a daily meal allowance to all employees.
• Home Office (Internet) Contribution
• English Course Contribution
• 24/7 counselling and support services free of charge for employees and immediate family members
• Individuals that regularly volunteer in CSR activities in their free time can apply for 2 days off via their manager
• Family oriented benefits
• Teambuilding activities


Type of employment

plný úväzok

Employee requirements

Minimum required education

First Level University Education (Bachelor's Degree)

Language skills

Anglický jazyk (upper-intermediate - B2)

Generally required knowledge

* Bachelors or Master Degree in Computer Science, Mathematics or equivalent.
* 7+ years or more of relevant experience
* Excellent oral and written communications skills, business acumen with problem solving and analytical skills
* Up-to-date specialized knowledge of data wrangling, manipulation and management of technologies and data architectures within the domain of Life Science research.
* Is considered a lead in data matters and for leading edge techniques and technologies within own and related disciplines.
* Experience with four of the following languages: Java, Scala, Python, Chef, R, JavaScript
* Understanding of AWS (S3, EC2, Redshift, EMR, Athena)
* Experience with a Rapid UI tools: EX: Tableau
* Understanding of Web Services as well as JSON formats
* Working knowledge of SQL and Relational Databases
* Experience with Multiple NoSQL datastores (Cassandra, MongoDB, Neo4J, …)
* Experience using a “Data Lake” environment.
* Experience using Spark (Scala or PySpark) in production environment
* Architectural understanding of Horizontally Scalable solutions
* Experience with Informatica Powercenter


Generally required knowledge

* Bachelors or Master Degree in Computer Science, Mathematics or equivalent.
* 7+ years or more of relevant experience
* Excellent oral and written communications skills, business acumen with problem solving and analytical skills
* Up-to-date specialized knowledge of data wrangling, manipulation and management of technologies and data architectures within the domain of Life Science research.
* Is considered a lead in data matters and for leading edge techniques and technologies within own and related disciplines.
* Experience with four of the following languages: Java, Scala, Python, Chef, R, JavaScript
* Understanding of AWS (S3, EC2, Redshift, EMR, Athena)
* Experience with a Rapid UI tools: EX: Tableau
* Understanding of Web Services as well as JSON formats
* Working knowledge of SQL and Relational Databases
* Experience with Multiple NoSQL datastores (Cassandra, MongoDB, Neo4J, …)
* Experience using a “Data Lake” environment.
* Experience using Spark (Scala or PySpark) in production environment
* Architectural understanding of Horizontally Scalable solutions
* Experience with Informatica Powercenter