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Data Engineer

Date: Nov 26, 2022

Location: Sofia, BG, 1407

Company: Teva Pharmaceuticals

Company Info


Teva Pharmaceutical Industries Ltd. (NYSE and TASE: TEVA) is a global leader in generic medicines, with innovative treatments in select areas, including CNS, pain and respiratory. We deliver high-quality generic products and medicines in nearly every therapeutic area to address unmet patient needs. We have an established presence in generics, specialty, OTC and API, building on more than a century-old legacy, with a fully integrated R&D function, strong operational base and global infrastructure and scale. We strive to act in a socially and environmentally responsible way. Headquartered in Israel, with production and research facilities around the globe, we employ 40,000 professionals, committed to improving the lives of millions of patients. Learn more at


In August 2016 Actavis has been acquired by Teva Pharmaceutical. In Bulgaria we are the largest employer in the pharmaceutical industry with near 1700 employees in the two manufacturing plants (Dupnitsa and Troyan); sales and marketing organization and in a number of global corporate functions based in our country. As a Teva company, in October 2020 Actavis has started the process of re-branding and anticipating the Teva brand.


We are looking for qualified and motivated candidate for the role of Data Engineer based in Sofia.


The role


The Data Engineer will provide E2E support of Data project Lifecycle (Acquire, Organize, Analyze and Deliver) including Big Data projects and participate in the implementation of new Data platform solutions and tools. The Data Engineer will support our data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. This job is an unique opportunity grow your career and work with highly talented people across the globe, work on innovative projects using various advanced technologies.


Main Responsibilities


•    E2E support of Data project Lifecycle (Acquire, Organize, Analyze and Deliver).
•    Define, innovate and shape the architecture for new data products / features
•    Operationalize and Automate ML models deployments
•    Manage, monitor, troubleshoot machine learning infrastructure
•    Implement and maintain metrics for tracking ML models performance.
•    Seeing through a project from conception to finished product
•    Hands on work on core Data platforms and tools
•    Analyze & translate functional specifications /user stories into technical specifications.
•    Willing and enthusiastic to learn new technologies/tools 
•    Work individually, with minimal supervision as well as in team environments and work well with people within and outside team members


Main Requirements


•    Bachelor’s degree in computer science 
•    Minimum 3+ years of experience in Data Engineering, and working with Data platforms and tools
•    Extensive experience programming in Python, SQL and a good understanding of ML libraries
•    Expertise in Azure and its services such as Azure ML, Databricks, Azure DataFactory etc.
•    Experience with machine learning architectures and technologies
•    Good understanding of routing & networking
•    Knowledge of CI/CD & Devops principles
•    Good understanding and working knowledge with Kubernetes Service
•    Good understanding and working knowledge with API/web service security and data security practices and methods
•    Experience in ETL development (design and implementation)
•    Deep knowledge of frameworks and methodologies for working with large data
•    Experience managing relational databases (MSSQL, Oracle, MySQL, etc.) and non-relational databases (MongoDB,etc.)
•    Excellent oral and written communication skills
•    Excellent collaboration, troubleshooting and problem solving skills
•    Excellent command of English


We Offer


•    Dynamic and challenging work environment in one of the world leading pharmaceutical company and the biggest pharmaceutical company in Bulgaria
•    Competitive remuneration bound with performance
•    Additional healthcare insurance
•    Transportation allowance
•    Flexible working hours and option to work from home as per the company policy
•    Opportunity for development


If this sounds like the right opportunity for you, send us your CV in English.
Please, kindly note that only shortlisted applicants will be contacted. All personal data is protected by law and will be treated in confidence.


Already Working @TEVA?


If you are a current Teva employee, please apply using the internal career site available on "Employee Central". By doing so, your application will be treated with priority. You will also be able to see opportunities that are open exclusively to Teva employees. Use the following link to search and apply: Internal Career Site

The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.


Teva’s Equal Employment Opportunity Commitment


Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws.