Data Engineer

ABOUT THE COMPANY

LITIT, a joint venture between NTT DATA and Reiz Tech, is a company with deep-rooted industry know-how, dedicated to innovation within the IT sector. Its primary focus is delivering high-quality solutions in the DACH region. With a commitment to excellence, LITIT combines the best of German precision, Japanese work ethics, and Lithuanian talent to provide unparalleled IT service and support to its clients.

ABOUT THE CLIENT

Globally recognized leader in high-performance engineering, specializing in advanced propulsion and power systems for the aerospace, defense, and energy sectors. With a strong focus on innovation and precision, the company develops complex technologies that enhance efficiency, reliability, and sustainability. Their expertise in digital transformation and data-driven solutions ensures continuous improvement in performance and operational excellence, supporting critical industries worldwide.

ABOUT THE ROLE

As a Data Engineer, you will be responsible for designing, building, and maintaining the data infrastructure that enables efficient data processing and analytics across the organization. Your work will focus on developing robust data pipelines that integrate data from multiple sources, ensuring accessibility, reliability, and scalability. You will collaborate closely with data scientists, analysts, and other stakeholders to understand data requirements and implement effective solutions that support business objectives.

RESPONSIBILITIES

• Develop and maintain ETL pipelines to extract, transform, and load data from various sources into storage and analytical systems.

• Optimize database performance, ensuring efficient storage, retrieval, and processing of structured and unstructured data.

• Implement data quality measures to ensure accuracy, consistency, and completeness across all datasets.

• Automate data workflows, monitoring pipeline performance to ensure reliability and efficiency.

• Collaborate with cross-functional teams to understand data needs and provide scalable solutions.

• Leverage AWS services (e.g., Glue, S3) for cloud-based data processing and storage.

REQUIREMENTS

• Experience in building and maintaining data pipelines.

• Proficiency in SQL and NoSQL databases.

• Strong understanding of ETL processes and tools.

• Familiarity with AWS services for data management.

• Knowledge of data integration techniques and best practices.

• Proficiency in Python or Java for data processing and automation.
  

WHAT WE OFFER

• Learning opportunities with compensated certificates, learning lunches, and language lessons.

• Opportunity to switch projects after one year.

• Team building and victory celebration compensation every quarter.

• Office in Vilnius, Lithuania that offers themed lunches and a pet-friendly environment.

• Remote work opportunities.

• Flexible time off depending on the project.

• Seasonal activities with colleagues.

• Health insurance for Lithuanian residents.

• Referral bonuses.

• Loyalty days.

• Recognition of important occasions in your life.