Expert Developer Data Analytics And Data Engineering

Deutsche Telekom; India; On-site; INR 11,547,000 - 16,796,000; Full time

Job summary

Deutsche Telekom IT Solutions is seeking an Exper Developer – Data Analytics & Data Engineering to design and evolve our Azure Lakehouse platforms. You will work with Databricks, Delta Lake and related Azure services to create scalable data architectures and prototypes.

You will coach engineering squads, ensure data protection, and help establish platform standards while collaborating across teams and stakeholders in a fast‑moving environment.

Qualifications

• 5+ years experience in data engineering architecture
• Experience with migrating traditional data warehouses to Lakehouse/Delta Lake on Azure
• Familiarity with BI and dashboarding tools and agile methods

Responsibilities

• Design Lakehouse on Azure and evolving platform architecture
• Develop prototypes and evaluate new technologies to drive innovation
• Support engineering teams in platform architecture development and coach them
• Ensure data protection and security for business and personal data
• Collaborate to establish principles, patterns and best practices

Skills

Databricks

Delta Lake

Azure

SQL

Python

Spark

Data modeling

Streaming

ETL pipelines

Data warehousing

Education

Degree in Computer Science

Degree in Informatics

Tools

Azure Databricks

Azure Data Factory

Power BI

Azure Synapse

Azure Storage

Job description

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