Data Engineer

As a Data Engineer at Deutsche Telekom IT Solutions Slovakia, your primary responsibilities include designing and developing ETL pipelines, optimizing SQL queries, implementing data quality measures, and providing support for data analysis. You will work closely with a SCRUM team on international projects, focusing on efficient data processing and producing actionable insights through dashboards and reports.

To qualify for the Data Engineer position at Deutsche Telekom IT Solutions Slovakia, candidates should hold a Bachelor's degree in Information Technologies, have at least 1 year of experience in ICT Analysis, and demonstrate intermediate skills in Data Analytics, SQL, and Data Warehousing. Strong analytical thinking, strategic thinking, and cross-functional collaboration skills are also essential.

Yes, Deutsche Telekom IT Solutions Slovakia offers the flexibility of remote work for Data Engineers, provided the work is conducted within Slovakia due to European taxation regulations. This enables you to find a comfortable work-life balance while still contributing effectively to your team.

At Deutsche Telekom IT Solutions Slovakia, Data Engineers have ample opportunities for career advancement. You can progress to senior positions such as Senior Data Engineer or Lead Data Engineer, or shift your focus towards cloud technologies as your career evolves, enabling you to continuously grow in your professional journey.

Data Engineers at Deutsche Telekom IT Solutions Slovakia can enjoy a comprehensive benefits package that includes financial perks, professional development opportunities, health and wellness incentives, and support for work-life balance. The company emphasizes employee well-being through a positive work environment and extensive benefits tailored to enhance both personal and professional lives.

In interviewing for the Data Engineer position at Deutsche Telekom IT Solutions Slovakia, be prepared to discuss your understanding of the ETL (Extract, Transform, Load) process. Explain how you've designed ETL pipelines in your previous roles, highlighting specific projects and technologies you've used, such as Oracle databases or SQL. Speak about any challenges you faced and the solutions you implemented.

When asked about optimizing SQL queries in the context of the Data Engineer role, discuss your approach to identifying slow queries, including indexing strategies, query restructuring, and analyzing execution plans. Share examples of situations where your optimizations led to significant performance improvements, demonstrating your analytical skills.

In your response, emphasize how maintaining data quality is crucial in your work as a Data Engineer. Discuss the strategies you apply, such as implementing data quality checks, conducting regular audits, and collaborating with governance teams to align with data standards. Providing real-world examples will strengthen your answer.

As a Data Engineer, it's essential to understand the differences between SQL and NoSQL databases. Discuss your familiarity with each type, specifying scenarios where you used SQL databases for structured data and NoSQL for unstructured data. Highlight any projects where you had to transition data between these systems, showcasing your versatility.

When asked about collaboration in a SCRUM team, focus on your communication skills and adaptability. Describe how you've participated in daily stand-ups, sprint planning, and retrospectives. Provide concrete examples of projects where strong teamwork led to successful outcomes, showcasing your ability to work well in a collaborative environment.

In your answer, highlight your proficiency in languages relevant to data engineering, such as Python or PL/SQL. Discuss specific projects where you utilized these languages for data manipulation, automation, or developing ETL processes, emphasizing practical applications that demonstrate your technical capabilities.

Answer this question by recounting a specific incident where you encountered a complex data challenge. Clearly describe the issue, your approach to troubleshooting, and the eventual resolution. This will highlight your problem-solving skills and your ability to handle pressure in the Data Engineer role.

In addressing this question, emphasize your commitment to continuous learning in the field of data engineering. Discuss resources you utilize, such as online courses, webinars, or industry conferences. Mention any specific technologies you are excited about and how you plan to implement them in your work at Deutsche Telekom IT Solutions Slovakia.

Share your experience with various data analysis and reporting tools relevant to the Data Engineer position, such as Tableau, Power BI, or specific SQL reporting tools. Provide examples of how you've used these tools to generate insights and fulfill business intelligence objectives, demonstrating your analytical capabilities.

In answering this question, connect your career aspirations with the values and offerings of Deutsche Telekom IT Solutions Slovakia. Discuss your passion for data engineering, interest in cutting-edge technologies, and the importance of work-life balance in your professional life. Show enthusiasm for contributing to an organization that prioritizes employee development and innovation.