Engineering & Technology
Senior
Ukraine

Senior Data Platform Engineer

ABOUT THE ROLE

As a Data Platform Engineer, you will be responsible for building, scaling, and maintaining the core data platform that serves as the foundation for analytics across the organization. You will own the infrastructure, tooling, and governance practices that enable reliable, secure, and high-quality data delivery while improving the developer experience for Data Engineering teams. Working closely with engineers and stakeholders, you will help shape standards, automation, and operational excellence across the data ecosystem.

RESPONSIBILITIES

  • Build, maintain, and enhance the core data platform infrastructure, including Kubernetes workloads, CI/CD pipelines, Git repositories, and BigQuery environments
  • Own and improve platform capabilities that support data replication, transformation, and modeling, ensuring scalability, reliability, and performance
  • Collaborate closely with Data Engineering teams and stakeholders to establish best practices, streamline development workflows, and improve platform adoption
  • Develop and maintain internal tooling, custom container images, and automation solutions that accelerate data development and operational efficiency
  • Manage infrastructure as code using Terraform while enforcing security, governance, and access control standards across the data ecosystem
  • Implement and enhance centralized monitoring, alerting, observability, and incident management processes using tools such as GCP Alerts, Monte Carlo, and PagerDuty
  • Define, document, and promote data engineering standards, including coding practices, CI/CD processes, testing frameworks, and data lifecycle management
  • Optimize platform operations and cloud spending by monitoring infrastructure usage, improving resource allocation, and building cost-management capabilities

REQUIREMENTS

  • 4+ years of professional experience in Data Engineering
  • Hands-on experience with Python or Go for building infrastructure, automation, and platform tooling
  • Strong practical experience with Kubernetes, Docker, Terraform, and Infrastructure as Code methodologies
  • Solid knowledge of Google Cloud Platform and data warehouse technologies, particularly BigQuery
  • Experience working directly with data pipelines, data modeling, SQL troubleshooting, and query performance optimization
  • Strong experience with dbt deployment and operations, CI/CD implementation, Git workflows, and package management tools such as Poetry or uv
  • Experience configuring and managing observability and operational tooling, including Monte Carlo, PagerDuty, or similar platforms
  • Strong automation mindset with a focus on testing, reliability, maintainability, and continuous improvement
  • Excellent communication, collaboration, and mentoring skills with the ability to support distributed engineering teams
  • Self-driven, highly organized, and comfortable working in Agile, remote-first environments
  • Upper-intermediate or higher level of English

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.

#LI-Remote

Role Summary

Location

Ukraine

Work type

Remote/Office

Direction

Engineering & Technology

Subdirection

Data & Analytics

Tech level

Senior

Personal recruiter:

Iia Kobzar

Personal recruiter

Apply Now

Fill out the form, and we'll be in touch shortly.

CV/Resume in English will speed up its processing time
Upload file

About us

We are a digital engineering and technology consulting company where expertise grows alongside people. For more than 30 years, we have been elevating technology: helping organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work across key areas: digital engineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalable solutions rooted in real business needs and measurable human impact.

You bring your perspective and ambition. We create an environment where your work meets clarity, confidence, and purpose.

About us

We offer

Flexible work model

Work from home, from the office, or in a hybrid format that supports focus and collaboration.

Compensation & Benefits

Competitive, market-based pay, benchmarked by role and location — plus health coverage, paid time off, wellness support, and learning opportunities.

People-first Leadership

Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.

Advanced tech communities

Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.

More opportunities available

Browse all open positions to find the best fit for your experience.

Browse all positions
102548