Lead Data Engineer

Job Description

Purpose

The senior data engineer develops, constructs, tests and maintains architectures, such as databases and large-scale processing systems, and ensures that architecture fully supports requirements of the business. Plays a collaborative role where he/she works closely with the business’s Data and Analytics teams, gathering technical requirements for exceptional data governance.

About team and project

We’re part of the Finance & B2B domain within the DATA TRIBE, driving the creation of a future-proof data warehouse landscape in the One Data Ecosystem (ODE). Our mission? To migrate our current data architecture to the Google Cloud Platform (GCP) — an ambitious, innovative, and rewarding challenge!

If you’re excited about working in a future-oriented, agile environment where learning and growth never stop, this is your opportunity. Bring your skills, curiosity, and drive — and together, we’ll shape the next generation of data solutions.

WHAT WILL YOU DO?

• 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.

Qualifications

YOU WILL SUCCEED IF YOU:

• have education of Information technologies –– Master’s degree
• have experiences with ICT Analysis, Architecture & Design
• are an xperienced data engineer with strong skills in ETL, data modeling, SQL, Python, UNIX, GIT, and UML.
• Skilled in analyzing existing data infrastructures and identifying improvement opportunities.
• Design scalable, stable, and maintainable data architectures aligned with business needs.
• Translate business and technical requirements into clear technical specifications.
• Collaborate with international expert teams to deliver end-to-end data solutions.
• Plan and execute data migration strategies, especially to GCP.
• Ensure solution quality through pipeline, interface, and integration testing.
• Solve complex data issues through focused root-cause analysis.
• Support presales and consultation, contributing to solution design and decision-making.
• Prepare and maintain clear technical documentation.
• Communicate effectively in German and English while engaging with cross-domain stakeholders.
• Work agilely, manage requirements, and contribute to structured decision processes.
• Apply basic data protection principles, including pseudonymization and attribute classification.

Optional Specializations

• Cloud data migrations (GCP)
• End-to-end data pipeline design
• Enterprise data modeling

Additional Information

WHY SHOULD YOU CHOOSE US?

We believe in balance between work and personal life. An attractive and extensive work-life balance portfolio guarantees lasting motivation for employees and thus a better quality of life, promotes physical and mental well-being and contributes to a positive work environment. All this with the aim of providing more freedom in reconciling work, career growth, private life and individual lifestyle. Therefore we offer to our employees over 25 different benefits to improve their personal and professional life in these areas:

• Financial benefits
• Benefits with focus on learning and development
• Benefits with focus on health and sport
• Benefits with focus on family and work – life balance
• Other benefits

For more information about our benefits click to Benefits

Salary

Final salary is negotiable.

We are offering base salary depending on seniority level and previous experience of candidate. In addition to base salary we provide variable part and other financial benefits. Base salary will not be lower than 3500 € /brutto.

Additional information

• Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation.