AI SERVICES - Senior Data Engineer /KE/

Náplň práce, právomoci a zodpovednosti:
Which challenges are expecting you:
• Become an essential part of AI Shared Services team focused on building comprehensive data architecture frameworks and strategies aligned with business objectives.
• Proactively identify opportunities to improve our data infrastructure and processes for our ML solutions by proposing and implementing innovative solutions
• Develop and maintain our data processing and ETL pipelines.
• Create and maintain data models, schemas, and metadata repositories to ensure data integrity and accessibility.
• Integrate data from various internal and external sources.
• Collaborate with stakeholders to gather requirements and translate them into effective data solutions.
• Implement data governance policies and standards to ensure compliance and data quality.
• Stay up to date with recent data engineering technologies and developments.
• Provide technical guidance and mentorship to data engineering team members.
• Write clean, production ready, well-documented and tested code.


We work in a HYBRID STYLE of working with the possibility of working from home , but twice a week we meet in the office in Košice or Bratislava for meetings.
The published salary is the minimum possible offer.
The starting salary may be higher depending on the extent of fulfillment of the employee's requirements (education, language skills, required practice, personality assumptions and skills).

Zamestnanecké výhody, benefity:
• Annual bonus
• Fully paid meal vouchers
• Mobile phone also for private use
• Discounts for selected Telekom products
• Supplementary pension saving contribution
• Cafeteria system of benefits/Multisport card
• Sick days
• Sports club & Health days
• Teambuildings, summer & Christmas party
• Opportunities for career growth
• Referral program
• Flexible working time

Informácie o výberovom konaní:
We are dedicated to constantly promoting equal employment opportunities and are ready to make reasonable adjustments for applicants with disabilities. If you are interested in our job opportunity and meet our job requirements for this position, we encourage you to confidentially notify us if you need specific accommodations to ensure your full participation in our recruitment process at recruitment@telekom.com.

Snažíme sa neustále podporovať rovnaké príležitosti v zamestnaní a sme pripravení urobiť primerané úpravy pre uchádzačov so zdravotným postihnutím. Ak máte záujem o túto pracovnú príležitosť a spĺňate požiadavky inzerovaného pracovného miesta, odporúčame vám, aby ste nám dôverne oznámili, ak potrebujete osobitné úpravy, ktoré vám zabezpečia plnohodnotnú účasť na našom náborovom procese na recruitment@telekom.com.

Požiadavky na zamestnanca:
Your skills:
• Bachelor or Master of Science in Computer Science, Information Systems or similar technical fields
• 5+ years of experience as a data engineer, data architect, or similar roles
• Fluent in English (German / Czech / Slovak is a plus)
• Advanced database systems knowledge (SQL, NoSQL, database optimization techniques)
• Strong knowledge of data modeling techniques and methodologies (dimensional, relational, etc.)
• Enhanced practical experience with ETL/ELT processes and development of data pipelines
• Extensive knowledge of cloud data solutions (preferably GCP, but AWS or Azure are also fine)
• Experience with modern data warehouses (BigQuery, Snowflake, Redshift)
• Advanced Python knowledge (OOP, design patterns, testing, good coding practices and popular data processing libraries)
• Experience with using and/or building APIs and integrating data from various sources.
• Knowledge of orchestration tools such as Dagster or Airflow
• Strong analytical skills, ability to understand complex data structures and produce efficient data solutions. Excellent communication skills and ability to explain complex technical concepts to non-technical stakeholders
Nice to have:
• Experience with agile work (Scrum, Kanban)
• Working knowledge of Gitlab CI/CD
• Working knowledge of containerization technologies (Docker, Kubernetes) and related deployment tools (helm, jenkins)
• Experience with data visualization tools (e.g. Power BI, MicroStrategy)
• Experience developing and operating machine learning applications