Senior Data Engineer
Budapest, Hungary
Deutsche Telekom IT Solutions
Deutsche Telekom TSI Hungary Kft., Deutsche Telekom ITTC Hungary Kft.Company Description
The largest ICT employer in Hungary, Deutsche Telekom IT Solutions (formerly IT-Services Hungary, ITSH) is a subsidiary of the Deutsche Telekom Group. Established in 2006, the company provides a wide portfolio of IT and telecommunications services with more than 5000 employees. ITSH was awarded with the Best in Educational Cooperation prize by HIPA in 2019, acknowledged as one of the most attractive workplaces by PwC Hungary’s independent survey in 2021 and rewarded with the title of the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.
Job Description
By developing a variety of internal HR products and offers like learning & development, skills intelligence and performance or engagement surveys, we make Deutsche Telekom the best place to develop, grow and raise the voice.
Are you passionate about employee engagement and to capture the sentiments of Employees? Do you see your strengths in data processing and setting up data pipelines? Do you want to work in an international team and shape the future of our products in a dynamic environment? Then this is the right role for you.
- Developing general strategic specifications for the provision and identification of data for logical data models and structures.
- Developing assessment and steering tools for various data sources to provide the required data records.
- Setting up E2E ETL pipelines for multiple data sources ensuring data quality, performance and stability
- Developing data models and steering the implementation of the models in collaboration with the business and the data teams.
- Devising decision-making proposals and recommended courses of actions; presenting and discussing the results at management level.
- Assuming E2E responsibility for strategic data projects, from taking stock of requirements and advising through to go-live.
Qualifications
Bachelor’s or Master’s degree in computer science, Information Technology, Engineering, or a comparable qualification and already have minimum 4 years of professional experience as data engineer / architect.
Furthermore, you distinguish yourself through the following knowledge and skills:
- Strong understanding of ETL processes and data architecture including data cleansing and validation.
- Excellent programming skills in Python paired with strong hands-on experience with Python libraries for data manipulation, esp. Pandas, NumPy.
- Knowledge of Data Pipeline monitoring tools and approaches.
- Hands-on Experience in working in Hyperscaler environments, esp. Google Cloud Platform.
- Experience in setting up data bases, data lakes, data warehouses, feature stores etc.
- Advanced knowledge in preparation of data set for Machine Learning approaches and models.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Strong knowledge in UML and data modeling.
- Strong customer-oriented working mode, ideally experience in HR / employee survey domain.
- Self-responsibility and independent working principle, experience in international Scrum teams.
- Excellent writing and communication skills (English).
- You are flexible for business travels.
Additional Information
Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.
* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Data pipelines Data quality Engineering ETL GCP Google Cloud Machine Learning NumPy Pandas Pipelines Python Scrum
Perks/benefits: Career development Flex hours
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