Senior Java Data Engineer — Cloud Data Platform on GCP

SoftServe; Poland; On-site; PLN 150,000 - 230,000; Full time

Job summary

SoftServe is building a modern Enterprise Data Platform for a large US-based healthcare provider, with thousands of hospitals worldwide.

The role focuses on cloud-native data solutions on Google Cloud Platform, improving data quality, analytics efficiency, and data-driven decision-making across the organization. You will design and optimize pipelines, collaborate with cross-functional teams, and contribute to platform modernization including data mesh concepts.

Qualifications

• 3+ years of commercial experience as a Java Software Engineer with a strong focus on Data Engineering.
• 2+ years of practical work experience with Google Cloud Platform and services such as Dataflow, BigQuery, Composer, and Cloud SQL.
• Strong SQL skills and solid experience with databases, data integrations, and connectivity patterns.
• Practical knowledge of schema migration tools such as Liquibase or Flyway.
• Experience working with CI/CD tools, preferably GitLab CI.
• Understanding of building and maintaining ETL or ELT data pipelines.
• Python scripting skills and knowledge of modern data architectures are a plus.
• Upper-intermediate or higher English level with the ability to communicate effectively in international teams.
• Strong collaboration skills, ownership mindset, and readiness to work on enterprise-scale solutions.

Responsibilities

• Design, build, and maintain scalable data processing pipelines on Google Cloud Platform to support enterprise analytics use cases.
• Take ownership of data engineering components that improve data quality, reliability, and performance across the platform.
• Collaborate with data engineers, architects, and business stakeholders to translate requirements into production-ready data solutions.
• Develop and optimize batch and streaming pipelines using Dataflow and related GCP services.
• Work with SQL-based data modeling and integrations across BigQuery, Cloud SQL, and other data sources.
• Support schema versioning and database changes using migration tools like Liquibase or Flyway.
• Contribute to CI/CD pipelines and automation using GitLab CI or similar tools.
• Participate in PoCs, platform optimization, and adoption of data mesh or lakehouse architectures.

Skills

Java

Data Engineering

SQL

ETL/ELT

Python

English proficiency

Tools

GitLab CI

Liquibase

Flyway

BigQuery

Dataflow

Cloud SQL

Composer

Job description

SoftServe is building a modern Enterprise Data Platform for a large US-based healthcare provider, with thousands of hospitals worldwide.

The role focuses on cloud-native data solutions on Google Cloud Platform, improving data quality, analytics efficiency, and data-driven decision-making across the organization. You will design and optimize pipelines, collaborate with cross-functional teams, and contribute to platform modernization including data mesh concepts.