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LITIT

Data Analytics Engineer

LITIT

AWS Data Engineer developing cloud-native data solutions for IoT Insurance Data Platform at LITIT. Designing scalable data pipelines within a modern AWS ecosystem.

Posted 5/20/2026full-timeRemote • 🇱🇹 LithuaniaMid-LevelSenior💰 €4,000 - €6,000 per monthWebsite

Tech Stack

Tools & technologies
ApacheAWSCloudDynamoDBETLPySparkSparkTerraform

About the role

Key responsibilities & impact
  • 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
  • Ensure efficient, reliable, and secure data processing across the platform
  • Integrate external and internal systems via APIs (e.g., 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

Requirements

What you’ll need
  • 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.
  • Nice to have: Experience with Infrastructure as Code (e.g., Terraform)
  • Basic understanding of machine learning concepts, ML lifecycle, and MLOps practices

Benefits

Comp & perks
  • Learning opportunities with compensated certificates, learning lunches, and language lessons.
  • Chance to switch projects after one year.
  • Team building twice a year.
  • Office in Vilnius, Lithuania that offers themed lunches and a pet-friendly environment.
  • Remote work opportunities.
  • Flexible time off depending on a project.
  • Seasonal activities with colleagues.
  • Additional health insurance and loyalty days for Lithuanian residents.
  • Referral bonuses.
  • Recognition of important occasions of your life.

ATS Keywords

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Hard Skills & Tools
AWSPySparkETLELTdata lakesdata meshAPI integrationCI/CDApache IcebergParquet
Soft Skills
collaborationagile mindsetcross-functional teamworkproblem-solvingcommunication