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Software Engineer Data (REF5581S)

Deutsche Telekom IT Solutions

Posted about 14 hours ago

Job Description

We are building a new, dedicated BI engineering team to take over and further develop a critical Business Intelligence component responsible for billing, reporting, and analytics across a wide range of sales and operational KPIs.
As a BI Software Engineer – Data, you will focus on designing, developing, and operating data pipelines and reporting solutions. The component integrates customer, booking, and product data from multiple internal Magenta APIs (e.g. CDP, PIM, POM) and delivers structured outputs to various stakeholders and systems such as Data Warehouse (ODE), Billing, Kibana, and other analytics consumers.
While the primary focus is on hands-on development, experience as a Product Owner and/or Business Analyst is considered a plus, but is not mandatory.

Your Responsibilities

  • Design, implement, and maintain scalable BI and data processing solutions
  • Develop and operate ETL pipelines for customer, booking, and product data
  • Integrate data from various file- and REST-based Magenta APIs (like POM, PIM, CDP, PCM, etc.)
  • Generate and deliver reports and datasets for multiple downstream consumers (e.g. ODE, Billing, Kibana)
  • Collaborate closely with stakeholders across analytics, billing, and platform teams
  • Contribute to the setup and shaping of a newly formed team, including technical standards and best practices
  • Ensure data quality, reliability, and performance across the BI component
  • Support cloud-based operations and monitoring in an AWS environment

What We Offer

  • The opportunity to build a new BI engineering team from the ground up
  • A technically challenging environment with modern data and cloud technologies
  • High impact on business-critical billing and reporting processes
  • Collaboration with diverse stakeholders across analytics and platform teams
  • An English-speaking work environment

Qualifications

Required Technical Skills:

  • Strong experience with ETL processes
  • SQL
  • Python
  • Docker
  • GitLab
  • Apache Airflow
  • Apache Cassandra
  • Kibana
  • AWS (general knowledge), including:
    • AWS S3
    • AWS DataSync
    • AWS Athena Notebook
    • Amazon Aurora
    • Amazon ECS
    • Amazon ECR
  • PySpark
  • Experience with a data hub / data integration platform (Datendrehscheibe)
  • REST APIs (e.g. TARDIS / REST)

Nice to Have:

  • Experience in BI or billing-related data domains
  • Background as Product Owner and/or Business Analyst
  • Familiarity with data warehouse integrations
  • Experience working in cross-functional, agile teams
  • Knowledge of German is a plus, but not mandatory

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Job details

Workplace

Hybrid

Location

Budapest, Pécs, , Hungary

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