DATA ANALYTICS ENGINEER

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.

We are looking for an experienced AWS Data Engineer to join the development of our IoT Insurance Data Platform (IDP). In this role, you will design, build, and optimize scalable, cloud-native data solutions that power analytics, data products, and machine learning use cases in an industrial IoT and insurance environment. You will work in a modern AWS ecosystem, contributing to a data platform built on lakehouse principles, enabling high-performance data processing and governed data access.

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  Design, implement, and operate scalable, cloud-native data pipelines on AWS

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  Build and maintain ETL/ELT workflows, data lakes, and data mesh components

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  Develop and optimize PySpark-based data processing jobs for large-scale and time-series datasets

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  Design and manage data schemas, tables, and metadata using AWS Glue Data Catalog and Lake Formation

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  Ensure efficient, reliable, and secure data processing across the platform

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  Integrate external and internal systems via APIs (e.g., AWS API Gateway)

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  Contribute to CI/CD pipelines and automated deployment processes

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  Collaborate closely with data platform, analytics, and product teams in an agile (Scrum) environment

• Strong hands-on experience with AWS services, including:
  Glue, Lambda, S3, Athena, Lake Formation, Step Functions, DynamoDB

• Proven experience in data engineering, including building and operating ETL/ELT pipelines and working with data lakes and/or data mesh architectures

• Solid experience with Spark / PySpark for distributed data processing and performance optimization

• Experience with modern data formats such as Apache Iceberg and Parquet

• Experience with API integration (e.g., AWS API Gateway, data exchange APIs)

• Experience with CI/CD pipelines and automated deployments

• Experience working in cross-functional Agile (Scrum) teams

• Proven ability to deliver production-grade, scalable data solutions

• Agile mindset with experience working in cross-functional Scrum teams

• Willingness and readiness to travel as required by project or client needs is expected. This may include occasional domestic or international travel, sometimes on short notice.