Lead Data Engineer
Deutsche Telekom IT Solutions Slovakia
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇸🇰 Slovakia
Visit company websiteSalary
💰 €3,500 per month
Job Level
Senior
Tech Stack
ETLGoogle Cloud PlatformPythonSQLUnix
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLdata modelingSQLPythonUNIXGITUMLdata migrationdata architecturedata pipelines
Soft skills
communicationcollaborationproblem-solvingroot-cause analysisproject managementdecision-makingstakeholder engagementteamworkgoal-oriented mindsetagile methodologies
Certifications
Master’s degree in Information Technologies