Senior Java Software Engineer (Data)

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

In this role, you will contribute to building a modern Enterprise Data Platform for a large US-based healthcare provider serving thousands of hospitals worldwide. You will work on cloud-native data solutions on Google Cloud Platform, helping improve data quality, analytics efficiency, and data-driven decision-making across the organization.

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 closely 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 such as Liquibase or Flyway
• Contribute to CI/CD pipelines and automation using GitLab CI or similar tools
• Participate in proof-of-concept initiatives, platform optimization, and the adoption of modern data architectures such as data mesh or lakehouse

Requirements

• 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

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.