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Expert Developer – Data Analytics & Data Engineering
Budapest; Szeged; Pécs; Debrecen
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll bring
All qualificationsCore experience
- Degree in (Business) Informatics, Business Administration, or equivalent practical experience.
- Strong experience in modern data platform and data warehousing architectures.
- Familiarity with reporting, analytics, and dashboarding.
- Proven expertise in migrating from traditional data warehouse solutions to modern data platforms like Lakehouse & Delta Lake.
- Deep knowledge of data lake storage organization and architecture.
- Hands-on experience with Agile development methodologies (SCRUM, KANBAN, etc.).
Qualification wording
Degree in (Business) Informatics, Business Administration, or equivalent practical experience.
Strong experience in modern data platform and data warehousing architectures.
Familiarity with reporting, analytics, and dashboarding.
Proven expertise in migrating from traditional data warehouse solutions to modern data platforms like Lakehouse & Delta Lake.
Deep knowledge of data lake storage organization and architecture.
Hands-on experience with Agile development methodologies (SCRUM, KANBAN, etc.).
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Deutsche Telekom is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Databricks
- Delta Lake
- Power BI
- Spark
Where the posting names them
- Experience with data pipelines using Spark Structured Streaming and Delta Lake. - Strong programming skills in SQL, Python, and Spark. - Preferred Additional Experience:
As an Exper Developer – Data Analytics & Data Engineering, you will: - Design IT platforms, processes, and organizational structures for our evolving Lakehouse on Azure, leveraging: - Databricks Data Factory Data Lake Storage Event Hub … and more cutting-edge technologies.
- At least 5 years of experience in data engineering architecture, with: - Minimum 5 years of hands-on experience with Databricks & Delta Lake on Azure services. - Proven expertise in migrating from traditional data warehouse solutions to modern data platforms like Lakehouse & Delta Lake.
- Hands-on experience with Agile development methodologies (SCRUM, KANBAN, etc.). - Knowledge of BI solutions using: Azure Databricks /Azure Data Factory /Azure Storage /Azure Synapse /Azure Logic Apps / Power BI Additional information
- Certifications (Preferred but Not Mandatory) - DP-900: Microsoft Azure Data Fundamentals - DP-100: Designing and Implementing a Data Science Solution in Azure
- DP-900: Microsoft Azure Data Fundamentals - DP-100: Designing and Implementing a Data Science Solution in Azure - DP-203: Data Engineering on Microsoft Azure
- DP-100: Designing and Implementing a Data Science Solution in Azure - DP-203: Data Engineering on Microsoft Azure - DP-300: Managing Relational Databases on Microsoft Azure
- DP-203: Data Engineering on Microsoft Azure - DP-300: Managing Relational Databases on Microsoft Azure - AI-900: Microsoft Azure AI Fundamentals
- DP-300: Managing Relational Databases on Microsoft Azure - AI-900: Microsoft Azure AI Fundamentals - AZ-900: Microsoft Azure Fundamentals
- AI-900: Microsoft Azure AI Fundamentals - AZ-900: Microsoft Azure Fundamentals - DP-420: Designing and Implementing Cloud-Native Applications with Microsoft Azure Cosmos DB
- AZ-900: Microsoft Azure Fundamentals - DP-420: Designing and Implementing Cloud-Native Applications with Microsoft Azure Cosmos DB
- Design IT platforms, processes, and organizational structures for our evolving Lakehouse on Azure, leveraging: - Databricks Data Factory Data Lake Storage Event Hub … and more cutting-edge technologies. - Develop sustainable architectures, prototype solutions, and evaluate new technologies to drive innovation.
- Minimum 5 years of hands-on experience with Databricks & Delta Lake on Azure services. - Proven expertise in migrating from traditional data warehouse solutions to modern data platforms like Lakehouse & Delta Lake. - Expected Skills & Knowledge
- Proficiency in data warehouse modeling methods (Kimball, Inmon, Data Vault). - Experience with data pipelines using Spark Structured Streaming and Delta Lake. - Strong programming skills in SQL, Python, and Spark.
Your next step
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Job description
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.
Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.
Job Description
At BDA_CDI HUB, we provide comprehensive IT solutions for T-Systems in the areas of data management, analytics, visualization, and process automation.
Our expertise spans from self-service analytics platforms to enterprise wide data warehouse and analytics solutions. We are increasingly focusing on data-driven initiatives and advanced analytics based on cloud services, evolving our traditional data warehouse landscape into a centralized T- Systems Lakehouse architecture to optimize and enhance efficiency.
Our environment is dynamic, innovative, and centered on continuous learning and development.
As an Exper Developer – Data Analytics & Data Engineering, you will:
- Design IT platforms, processes, and organizational structures for our evolving Lakehouse on Azure, leveraging:
- Databricks Data Factory Data Lake Storage Event Hub … and more cutting-edge technologies.
- Develop sustainable architectures, prototype solutions, and evaluate new technologies to drive innovation.
- Support engineering teams in platform architecture development and coach them toward independent solution design.
- Ensure data protection and security when handling business-critical and personal data.
- Collaborate with the team to enhance platform architecture, establish principles, patterns, and best practices.
Qualifications
Your Experience & Qualifications
- Degree in (Business) Informatics, Business Administration, or equivalent practical experience.
- At least 5 years of experience in data engineering architecture, with:
- Minimum 5 years of hands-on experience with Databricks & Delta Lake on Azure services.
- Proven expertise in migrating from traditional data warehouse solutions to modern data platforms like Lakehouse & Delta Lake.
- Expected Skills & Knowledge
Technical Expertise:
- Strong experience in modern data platform and data warehousing architectures.
- Deep knowledge of data lake storage organization and architecture.
- Solid understanding of relational and multidimensional database systems.
- Proficiency in data warehouse modeling methods (Kimball, Inmon, Data Vault).
- Experience with data pipelines using Spark Structured Streaming and Delta Lake.
- Strong programming skills in SQL, Python, and Spark.
- Preferred Additional Experience:
- Familiarity with reporting, analytics, and dashboarding.
- Hands-on experience with Agile development methodologies (SCRUM, KANBAN, etc.).
- Knowledge of BI solutions using: Azure Databricks /Azure Data Factory /Azure Storage /Azure Synapse /Azure Logic Apps / Power BI
Additional information
- Experience with Power Platform (Power Automate, Power Apps) is a plus.
- Certifications (Preferred but Not Mandatory)
- DP-900: Microsoft Azure Data Fundamentals
- DP-100: Designing and Implementing a Data Science Solution in Azure
- DP-203: Data Engineering on Microsoft Azure
- DP-300: Managing Relational Databases on Microsoft Azure
- AI-900: Microsoft Azure AI Fundamentals
- AZ-900: Microsoft Azure Fundamentals
- DP-420: Designing and Implementing Cloud-Native Applications with Microsoft Azure Cosmos DB
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Budapest; Szeged; Pécs; Debrecen
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. Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation. Job Description
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.