[Hiring] DATA ANALYTICS ENGINEER @LITIT

Role Description

For the development of the IoT Insurance Data Platform (IDP), we are looking for an experienced AWS Data Engineer to design, implement, and optimize scalable data pipelines and shared platform services. You’ll work in a cloud-native AWS environment, enabling analytics, data products, and machine learning use cases in an industrial IoT and insurance domain.

Responsibilities

• Design, implement, and operate cloud-native data pipelines on AWS
• Build and maintain scalable ETL workflows, data lakes, and data mesh components
• Develop and optimize PySpark jobs for large-scale and time-series data
• Manage schemas, tables, and metadata using AWS Glue Data Catalog and Lake Formation
• Collaborate closely with data platform, analytics, and product teams

Qualifications

• Strong hands-on experience with AWS services, including at minimum Lambda, Glue, and S3; additional experience with Athena, Lake Formation, Step Functions, and DynamoDB is highly valued
• Proven background in data engineering, including design and implementation of ETL/ELT pipelines working with large-scale and/or streaming data
• Solid experience with Spark / PySpark for distributed data processing
• Experience with modern data formats such as Apache Iceberg and Parquet
• Demonstrated experience delivering production-grade, enterprise-level data solutions
• API integration experience (e.g., AWS API Gateway, data exchange APIs)
• Experience with CI/CD pipelines and automated deployments
• 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.

Benefits

• Salary range: €4700 - €5700 (GROSS) / month.
• 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.