Senior Snowflake Data Engineer (REF4498U)
Budapest,Debrecen,Pécs,Szeged, Hungary
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Deutsche Telekom IT Solutions
Deutsche Telekom TSI Hungary Kft., Deutsche Telekom ITTC Hungary Kft.Company Description
As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries. DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the 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
Responsibilities
- Develop, manage, and optimize Snowflake data models and pipelines across six structured environments (DEV, UAT, DATA_DEV, PREPROD, PROD, DATA_RESTRICTION)
- Implement zero-copy cloning, data masking, and row access policies for privacy-compliant development workflows
- Collaborate on CI/CD pipelines using Terraform and dbt to deploy and validate infrastructure and data transformations
- Enable data provisioning to Power BI via Import and DirectQuery modes, optimizing for performance and consistency
- Perform end-to-end support: troubleshoot data issues, optimize queries, and manage deployments in UAT/PREPROD/PROD
- Integrate data from SAP PTB, Xtract Universal, Azure Blob Storage, and external APIs via data orchestration tools like Azure Data Factory
- Ensure smooth data validation workflows in PREPROD and monitor pipelines across the environments
- Work with platform architects to implement state-of-the-art architectural principles (cost efficiency, scalability, modularity)
- Ensure compliance with governance and security policies, including role-based access controls in Snowflake
- Support onboarding and enablement of junior developers and analysts working with Snowflake or consuming tools
Qualifications
Required Qualifications
- 3–5 years of hands-on experience with Snowflake, including role-based access control, zero-copy cloning, and multi-environment structures
- Proficient in SQL for Snowflake, dbt, and data modeling (star/snowflake schema, views, materialized views)
- Familiarity with CI/CD pipelines using Terraform, dbt, and version control (Git)
- Experience working with semi-structured data (JSON, Parquet) and optimizing for fast query performance
- Experience integrating with Power BI (Import mode and DirectQuery)
- Knowledge of data masking and privacy-compliant data workflows
- Experience using Azure Data Factory or similar ETL orchestration tools
- Familiarity with enterprise data governance and secure data sharing across environments
- Strong troubleshooting skills and experience with production support operations
Nice to Have
- Experience with SAP data extraction using tools like Xtract Universal
- Understanding of Azure B2C, Tardis, and RESTful API integration
- Familiarity with vendor lock-in mitigation and cloud cost optimization strategies
- Knowledge of data provisioning for benchmarking and interoperability with partners
- Experience working in a regulated enterprise environment (e.g. telecom, finance, government)
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: APIs Azure CI/CD Data governance dbt ETL Finance Git JSON Parquet Pipelines Power BI Privacy Security Snowflake SQL Terraform
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.