AWS Data Engineer

Place of work

Bratislava Region; Bratislava

Position / industry

Information Technologies - Software; Business Intelligence Specialist, Database Analyst, Database specialist, IT Analyst, Software Engineer

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.

Are you looking for a patient-focused company that will inspire you and support your career? If so, be empowered to take charge of your future at Takeda. Here, everyone matters and you will be a vital contributor to our inspiring, bold mission. As a Data Engineer working in the Data Engineering and Emerging Technologies team, a typical day will include:

As a Data Engineer, you will be tasked with creating an ecosystem to have the right data, to ask the right question, at the right time.

* Apply advanced techniques to complex problems in R&D and other organizations.
* Work directly with the Data Science in R&D at Takeda along with other advanced analytics organizations across the company.
* Apply advance techniques in structured, partly structured and unstructured data across different partner organizations.
* Implement solutions for both big data and difficult to structure data sets.
* Maintain up-to-data knowledge on modern data technologies, explores new platforms and beta tooling.
* Independently use own judgement to identify data requirements and influences the design.
* Influence new computer science platforms to design, analyze and implement complex and new data driven solutions that impact the company.

Offered salary

3000 EUR

Specification of salary conditions

Similarly situated employees earn 3000 EUR 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

Start date

by agreement (ASAP)

Type of employment

full-time

Minimum required education

First Level University Education (Bachelor's Degree)

Language skills

English (upper-intermediate - B2)

Generally required knowledge

* Bachelor Degree in Computer Science or equivalent
* 2+ years’ experience or relevant project / coursework
* Up-to-date specialized knowledge of data wrangling, manipulation and manage ment of technologies.
* Ability to manipulate voluminous data with different degree of structuring across disparate sources to build and communicate actionable insights for internal or external parties.
* Possesses strong communication skills to portray information.
* Ability to work in an agile environment with high quality deliverables.
* Experience with two of the following languages: Java, Scala, or Python
* Understanding of Web Services as well as JSON formats
* Working knowledge of SQL and Relational Databases
* Experience with one of the following NoSQL datastores (Cassandra, MongoDB, Neo4J, …)
* Experience with concepts of Hadoop and Spark

Suitable for graduates

No

Suitable for graduates

No