Lead Data Engineer

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Deutsche Telekom IT Solutions Slovakia

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Telecommunications • SaaS • Education

Deutsche Telekom IT Solutions Slovakia is a leading partner in information and communication technologies, focusing on providing innovative IT services and solutions. Operating since 2006, the company has grown to be one of the largest employers in Eastern Slovakia, delivering business solutions, smart applications, communication services, shared infrastructure, and security. Committed to continuous digitalization, Deutsche Telekom IT Solutions Slovakia supports the creation of new technologies and processes, offering IT outsourcing, and infrastructure services to major organizations worldwide. The company is also recognized for its dedication to education, employee training, and community involvement, aiming to build a modern society through lifelong learning and innovative projects.

1001 - 5000 employees

📡 Telecommunications

☁️ SaaS

📚 Education

📋 Description

• Analyze data infrastructure: Review existing systems and documentation to assess the current state and identify areas for improvement. • Design robust data solutions: Develop scalable, stable, and maintainable architectures that meet business needs. • Translate requirements: Convert business and technical inputs into actionable technical specifications. • Lead international collaboration: Coordinate with global expert teams to deliver comprehensive end-to-end data solutions. • Plan migrations: Create and execute migration strategies for transitioning to new data architectures on GCP. • Ensure quality through testing: Develop and run test cases for data pipelines, system integrations, and new solutions. • Resolve complex issues: Investigate data-related problems, identify root causes, and implement effective solutions. • Support presales and implementation: Provide technical consultation to guide decision-making and solution design. • Document thoroughly: Prepare and maintain detailed technical documentation throughout the project lifecycle. • Engage stakeholders: Collaborate with architects, data experts, production, and operations teams across domains and geographies. • Communicate effectively: Utilize excellent German and good English skills, fostering strong teamwork and clear communication. • Apply technical expertise: Leverage hands-on experience in data engineering, including ETL processes, data modeling, SQL, Python, UNIX, GIT, and UML. • Analyze complex relationships: Identify and clearly present intricate connections with a proactive, goal-oriented mindset. • Make informed decisions: Design and implement effective decision-making processes. • Manage projects and requirements: Plan, implement, and oversee requirements throughout project lifecycles. • Work agilely: Collaborate within interdisciplinary teams using agile methodologies. • Model data effectively: Build scalable, stable, and maintainable data models. • Conduct thorough testing: Perform module, interface, and system integration testing. • Ensure data protection: Apply basic knowledge of data privacy, including attribute classification and pseudonymization/anonymization.

🎯 Requirements

• Hold a Master’s degree in Information Technologies or a related field. • Experience in ICT analysis, architecture and design. • Proven experience as a data engineer with strong skills in ETL, data modeling, SQL, Python, UNIX, GIT, and UML. • Skilled in analyzing existing data infrastructures and identifying opportunities for improvement. • Ability to design scalable, stable, and maintainable data architectures aligned with business needs. • Translate business and technical requirements into clear technical specifications. • Experience collaborating with international expert teams to deliver end-to-end data solutions. • Experience planning and executing data migration strategies, especially to GCP. • Ensure solution quality through pipeline, interface, and integration testing. • Strong root-cause analysis skills to resolve complex data issues. • Provide presales support and technical consultation, contributing to solution design and decision-making. • Prepare and maintain clear technical documentation. • Fluent in German and proficient in English, with experience engaging cross-domain stakeholders. • Experience working in agile environments, managing requirements, and contributing to structured decision processes. • Basic knowledge of data protection principles, including pseudonymization and attribute classification.

🏖️ Benefits

• Financial benefits • Learning and development benefits • Health and sports benefits • Family and work–life balance benefits • Other benefits