Data Engineer OBIEE (f/m)

A Data Engineer at T-Systems takes on significant responsibilities such as data visualization using Oracle, creating detailed reports, and data modeling for advanced analytics projects. You'll also be analyzing data sources and managing your team to ensure project success in the public sector.

To qualify for the Data Engineer role at T-Systems, candidates should have a minimum of 2 years of experience in OBIEE, along with extensive knowledge of data environments encompassing programming and consultancy. Proficiency in both Spanish and Catalan is a plus.

At T-Systems, Data Engineers can expect an international, dynamic, and supportive work environment. With a hybrid work model that allows for both remote and in-office work, our employees enjoy a flexible schedule and a motivated team atmosphere.

T-Systems offers a comprehensive benefits package including ongoing training, a flexible compensation plan, life and accident insurance, and generous vacation days—more than 26 days a year! We strive to ensure our employees have a rewarding work experience.

Data Engineers at T-Systems have abundant opportunities for professional growth through continuous training and development programs. Our supportive environment encourages employees to learn and take on new challenges, fostering long-term career advancement.

When discussing your experience with OBIEE, focus on specific projects you've worked on, the challenges faced, and how you utilized OBIEE features to provide solutions or data insights. Highlight your skills in data visualization and reporting.

In answering this question, outline your process for data modeling, including the methods you use to gather requirements, structure data, and ensure performance optimization. Mention any tools or methodologies you are comfortable with, like ER modeling or dimensional modeling.

Here, narrate a specific incident, explaining the problem clearly, the steps you took to analyze it, and the successful resolution. Emphasize your problem-solving skills and your ability to collaborate with your team.

Discuss the visualization tools you prefer, such as Oracle, Tableau, or Power BI, and explain your design principles for creating clear and effective data visualizations that communicate key insights to stakeholders.

Explain your strategies for ensuring data quality, including validation practices, data cleansing techniques, and ongoing monitoring. Emphasize the importance of data quality in delivering reliable analytics.

Mention your commitment to continuous learning, such as attending industry conferences, participating in webinars, pursuing online courses, or being active in professional communities that help you stay ahead of trends.

Share a detailed account of a collaborative project, emphasizing your role, how you communicated with team members, and the impact your teamwork had on the project's outcome. Highlight any tools you used for collaboration.

Talk about your experience in generating reports and conducting data analysis, detailing specific tools and methodologies employed. Emphasize your analytical mindset and ability to derive insights from data.

Consider discussing challenges such as data privacy and compliance, diverse stakeholder needs, and the importance of effective communication and transparency in public sector projects.

Articulate your enthusiasm for T-Systems by discussing the company's values, innovative projects, and your desire to contribute to social and ecological well-being through technology, aligning your professional goals with the company's mission.