Senior Data Engineer - Power Platform

Budapest; Szeged; Debrecen; Pécs

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 work on

Full posting

Keep Power Platform components reliable, including Power BI gateways and data connections
Oversee role-based access control and workspace permissions
Monitor and optimize data refresh and load processes
Consult and coach Self-Service BI teams and guide them through onboarding
Resolve platform incidents with platform engineering teams

From the employer’s posting

Manage and maintain Power BI gateways and secure data connections to the Azure Lakehouse backend

Oversee role-based access control (RBAC) and workspace permissions

Monitor and optimize data refresh and load processes to ensure freshness, stability, and reliability of analytical datasets.

Consult and coach Self-Service BI teams on the effective use of Power BI, Power Apps, and Power Automate

Collaborate with platform engineering teams to resolve incidents, coordinate upgrades

Apply at Deutsche Telekom

Posting record

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Actively 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

Time since we first saw it

Day 1

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From 10,704 similar postings that came down. Coming down is not always a hire.

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

Hiring record

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.

Azure
Databricks
dbt
Power BI

Where the posting names them

Job Description We are looking for a technically skilled and service-oriented Data Engineer to join our international Common Data Intelligence Hub. This role focuses on the Power Platform frontend of our Cloud Data & Analytics Platform and acts as the bridge between Self-Service BI teams and the Azure Lakehouse backend. Our Cloud Data & Analytics Platform provides a standardized and governed framework that combines the power of Azure Lakehouse technologies (Data Factory, Databricks, dbt, CDC Framework) with Microsoft Power Platform services (Power BI, Power Apps, Power Automate, SharePoint Online). It enables business units to build and operate their own analytics and reporting solutions while ensuring compliance with enterprise-grade security, governance, and data management standards.

We are looking for a technically skilled and service-oriented Data Engineer to join our international Common Data Intelligence Hub. This role focuses on the Power Platform frontend of our Cloud Data & Analytics Platform and acts as the bridge between Self-Service BI teams and the Azure Lakehouse backend. Our Cloud Data & Analytics Platform provides a standardized and governed framework that combines the power of Azure Lakehouse technologies (Data Factory, Databricks, dbt, CDC Framework) with Microsoft Power Platform services (Power BI, Power Apps, Power Automate, SharePoint Online). It enables business units to build and operate their own analytics and reporting solutions while ensuring compliance with enterprise-grade security, governance, and data management standards. As a Data Engineer, you will ensure that these self-service solutions operate reliably, securely, and efficiently following established standards within the platform. You will consult and coach business and data teams on how to use the platform effectively - guiding them through the technical framework, governance principles, and best practices for designing sustainable analytics solutions. You will also collaborate closely with platform engineers to keep both the frontend (Power Platform) and backend (Lakehouse) layers aligned operationally and continuously

- Monitor platform usage, performance, and capacity to ensure optimal allocation of resources and cost efficiency. - Manage and maintain Power BI gateways and secure data connections to the Azure Lakehouse backend (ADF, Databricks, dbt, CDC Framework). - Oversee role-based access control (RBAC) and workspace permissions in alignment with corporate governance and Azure security principles.

- Manage and maintain Power BI gateways and secure data connections to the Azure Lakehouse backend (ADF, Databricks, dbt, CDC Framework). - Oversee role-based access control (RBAC) and workspace permissions in alignment with corporate governance and Azure security principles. - Monitor and optimize data refresh and load processes to ensure freshness, stability, and reliability of analytical datasets.

Continuous Improvement: - Stay current with new capabilities and feature releases in the Microsoft Power Platform and Azure ecosystem. - Evaluate new functionalities for potential adoption within the Cloud Data & Analytics Platform and prepare proof-of-concepts if needed.

- Are familiar with Power Apps and Power Automate for implementing and supporting business process automation within a governed environment. - Understand the fundamentals of Azure governance, identity, and security principles (RBAC, service principals, data access control). - Have practical experience in incident and problem management — diagnosing, documenting, and resolving platform issues in collaboration with engineering teams.

Platform Operations & Maintenance: - Ensure reliable and performant operation of the Power Platform components (Power BI Service, Power Apps, Power Automate, SharePoint Online) within the Cloud Data & Analytics Platform. - Monitor platform usage, performance, and capacity to ensure optimal allocation of resources and cost efficiency.

Governance & Best Practices: - Consult and coach Self-Service BI teams on the effective use of Power BI, Power Apps, and Power Automate within the established governance framework. - Guide new teams through onboarding, workspace configuration, and compliance processes.

. You will succeed if you: - Have hands-on experience with Power BI Service and Power BI Desktop, including workspace configuration, dataset refreshes, and gateway management. - Are familiar with Power Apps and Power Automate for implementing and supporting business process automation within a governed environment.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.

Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.

Job Description

We are looking for a technically skilled and service-oriented Data Engineer to join our international Common Data Intelligence Hub. This role focuses on the Power Platform frontend of our Cloud Data & Analytics Platform and acts as the bridge between Self-Service BI teams and the Azure Lakehouse backend.

Our Cloud Data & Analytics Platform provides a standardized and governed framework that combines the power of Azure Lakehouse technologies (Data Factory, Databricks, dbt, CDC Framework) with Microsoft Power Platform services (Power BI, Power Apps, Power Automate, SharePoint Online). It enables business units to build and operate their own analytics and reporting solutions while ensuring compliance with enterprise-grade security, governance, and data management standards.

As a Data Engineer, you will ensure that these self-service solutions operate reliably, securely, and efficiently following established standards within the platform. You will consult and coach business and data teams on how to use the platform effectively - guiding them through the technical framework, governance principles, and best practices for designing sustainable analytics solutions. You will also collaborate closely with platform engineers to keep both the frontend (Power Platform) and backend (Lakehouse) layers aligned operationally and continuously

Platform Operations & Maintenance:

Ensure reliable and performant operation of the Power Platform components (Power BI Service, Power Apps, Power Automate, SharePoint Online) within the Cloud Data & Analytics Platform.
Monitor platform usage, performance, and capacity to ensure optimal allocation of resources and cost efficiency.
Manage and maintain Power BI gateways and secure data connections to the Azure Lakehouse backend (ADF, Databricks, dbt, CDC Framework).
Oversee role-based access control (RBAC) and workspace permissions in alignment with corporate governance and Azure security principles.
Monitor and optimize data refresh and load processes to ensure freshness, stability, and reliability of analytical datasets.
Collaborate with platform engineering teams to resolve incidents, coordinate upgrades, and drive technical improvements across both frontend and backend layers.
Develop standardized operational dashboards and reports to bring transparency into platform usage, capacity, and performance metrics.

Governance & Best Practices:

Consult and coach Self-Service BI teams on the effective use of Power BI, Power Apps, and Power Automate within the established governance framework.
Guide new teams through onboarding, workspace configuration, and compliance processes.
Act as a trusted advisor for technical and architectural questions related to the Power Platform and its integration with the Lakehouse.
Promote and enforce best practices for solution design, performance optimization, and lifecycle management within the platform.
Maintain and continuously improve documentation, including configuration guides, troubleshooting playbooks, and governance guidelines.
Ensure adherence to data privacy, security, and compliance standards, supporting internal audits and governance reviews when required.

Continuous Improvement:

Stay current with new capabilities and feature releases in the Microsoft Power Platform and Azure ecosystem.
Evaluate new functionalities for potential adoption within the Cloud Data & Analytics Platform and prepare proof-of-concepts if needed.
Identify opportunities for automation and operational efficiency, proposing and implementing improvements in monitoring, deployment, or access management.
Share expertise within internal communities of practice and contribute to knowledge exchange across teams.
Support the continuous alignment of the Power Platform frontend with evolving Lakehouse architecture, governance principles, and data engineering standards

Qualifications

. You will succeed if you:

Have hands-on experience with Power BI Service and Power BI Desktop, including workspace configuration, dataset refreshes, and gateway management.
Are familiar with Power Apps and Power Automate for implementing and supporting business process automation within a governed environment.
Understand the fundamentals of Azure governance, identity, and security principles (RBAC, service principals, data access control).
Have practical experience in incident and problem management — diagnosing, documenting, and resolving platform issues in collaboration with engineering teams.
Communicate complex technical topics clearly and confidently to non-technical stakeholders and business users.

Additional information

German knowledge is advantage

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