Data Engineer with SAP BO, Oracle & BI knowledge (REF3639L)

As a Data Engineer with SAP BO, Oracle & BI knowledge at Deutsche Telekom IT Solutions, your main responsibilities encompass managing and implementing reporting solutions on the Microsoft Azure platform. You will optimize ETL processes, design and maintain database structures, and closely collaborate with business leaders to identify and prioritize data needs. Additionally, interacting with product owners and IT teams to clarify user stories for data-related tasks is a key aspect of the job.

To excel as a Data Engineer at Deutsche Telekom IT Solutions, candidates should have a minimum of 2 years of experience with technologies such as SAP BO, Oracle (including SQL scripting), and Microsoft Power BI. Familiarity with cloud technologies, primarily Azure, and experience in ETL/ELT development in various data warehouses is essential. Proficiency in German or English at a B2 level is also required.

At Deutsche Telekom IT Solutions, the company values continuous development and offers various resources for its Data Engineers to enhance their skills. Through hands-on projects involving innovative technologies, collaborative learning environments, and mentorship opportunities, you will have access to a robust support system that fosters professional growth and leads to potential advancement into Lead/Senior Data Engineer or Data Scientist roles.

Data Engineers at Deutsche Telekom IT Solutions enjoy excellent career advancement opportunities. By demonstrating expertise and leadership in your role, you can progress to positions such as Lead/Senior Data Engineer or Data Scientist. The diverse range of projects and technologies you’ll encounter equips you with the skills needed for upward mobility within the company.

Data Engineers at Deutsche Telekom IT Solutions can expect a collaborative and inclusive work environment. The company’s recognition as one of Hungary’s most attractive workplaces reflects its commitment to employee satisfaction and well-being. You will work with a supportive team that encourages innovation and best practices, all while contributing to impactful projects within the telecom and IT sectors.

In your answer, highlight specific projects where you utilized SAP BO, detailing how you managed reporting solutions and improved data quality. Focus on your understanding of Universum, WebI & LUMIRA, and how these tools facilitated data analysis and decision-making within your previous roles.

Discuss methodical approaches such as process mapping, performance tuning, and use of modern ETL tools. Emphasize your experience with SAP Data Services and how you've identified bottlenecks or inefficiencies in past projects to enhance performance and reliability.

Explain how you collaborate with stakeholders to assess data requirements, prioritize tasks based on urgency and impact, and align them with the overall business strategy. Give examples of past situations where your prioritization made a significant difference in project outcomes.

Discuss your hands-on experience with Oracle Exadata, outlining specific projects where you utilized its features to improve data processing speeds or manage large datasets. Mention any optimizations or configurations you implemented that contributed to enhanced performance.

Share a detailed example of a challenging SQL query you wrote, explaining its purpose, the problem it solved, and the impact it had on the outcome of the project. This should demonstrate your SQL proficiency and analytical skills.

Detail your approach to maintaining data quality, including validation techniques, monitoring processes, and routine audits. Reference any specific tools or methodologies you've used to ensure that data meets business standards and is free of inconsistencies.

Talk about any projects where you've implemented Azure technologies, specifically highlighting your work with Power BI Service and Azure database management. Discuss the advantages you've encountered in leveraging cloud platforms for data engineering tasks.

Identify the specific tools you've used for data visualization, such as Power BI, and the contexts in which you applied them. Discuss why you favor certain tools based on user experience, features, and how they effectively convey insights to stakeholders.

Emphasize your strong communication skills and your ability to understand different perspectives. Share examples of successful collaborations with product owners, developers, and business analysts, highlighting how collaboration led to valuable insights and project success.

Express your passion for data engineering and your excitement about working for a reputable company like Deutsche Telekom IT Solutions. Discuss how the company's commitment to ethical business practices and innovative technology align with your career goals and values.