Data Analytics Engineer

1d1 day ago

LITIT

Remote · Full-time · €48,000 – €72,000

About this role

LITIT, a joint venture between NTT DATA and Reiz Tech, delivers high-quality IT solutions across the DACH region. The company blends German precision, Japanese work ethics, and Lithuanian talent to support clients with advanced technology services.

We are seeking an experienced AWS Data Engineer to develop the IoT Insurance Data Platform. The role focuses on designing and optimizing scalable, cloud-native data solutions that enable analytics, data products, and machine learning in industrial IoT and insurance settings.

You will build data pipelines on a modern AWS lakehouse platform using Glue, Lambda, S3, and Athena. Daily work includes PySpark processing of large time-series datasets, managing schemas with Lake Formation, and integrating systems through APIs in an agile Scrum environment.

The position offers opportunities to contribute to CI/CD automation and collaborate with data platform and analytics teams. Occasional travel may be required to meet project or client needs.

Requirements

Strong hands-on experience with AWS services including Glue, Lambda, S3, Athena, Lake Formation, Step Functions, and DynamoDB
Proven experience in data engineering, including building and operating ETL/ELT pipelines and working with data lakes 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 and CI/CD pipelines for automated deployments
Experience working in cross-functional Agile Scrum teams
Proven ability to deliver production-grade, scalable data solutions

Responsibilities

Design, implement, and operate scalable, cloud-native data pipelines on AWS
Build and maintain ETL/ELT workflows, data lakes, and data mesh components
Develop and optimize PySpark-based data processing jobs for large-scale and time-series datasets
Design and manage data schemas, tables, and metadata using AWS Glue Data Catalog and Lake Formation
Integrate external and internal systems via APIs such as AWS API Gateway
Contribute to CI/CD pipelines and automated deployment processes
Collaborate closely with data platform, analytics, and product teams in an agile Scrum environment

Benefits

Salary range: €4000 - €6000 gross per month
Learning opportunities with compensated certificates, learning lunches, and language lessons
Chance to switch projects after one year
Team building events twice a year
Office in Vilnius with themed lunches and pet-friendly environment