Lead Data Platform Engineer | Remote

💡 Lead Data Platform Engineer

• B2B contract

• Location: Romania / Bulgaria / Poland – 100% Remote

• Polish is a must

About the Client

A large-scale e-commerce marketplace operating in Central and Eastern Europe, serving millions of users. The company runs a highly distributed, cloud-native technology stack and processes high traffic and transaction volumes. Engineering teams focus on scalability, reliability, and automation, with strong emphasis on platform engineering, data-driven decision making, and continuous delivery in a fast-growing product environment.

Project Description

Development and evolution of a cloud-native Data Platform running on GCP, focused on improving developer experience, standardization, automation, and self-service capabilities for Data Analytics, Data Engineering, and Machine Learning teams. The role involves designing and implementing platform engineering solutions that simplify the lifecycle of Data Products, enable GitOps-based delivery processes, and accelerate adoption of GenAI-powered workflows across the organization.

Responsibilities:

• Design and develop tools that standardize, automate, and simplify Data Platform operations.

• Build and maintain internal CLI tools for common platform and Data Product management tasks.

• Develop and evolve Data Product templates based on modern data engineering practices.

• Design and implement visualizations and operational insights within Backstage.

• Collect and analyze platform usage metrics, audit data, and adoption statistics.

• Design and implement Agentic AI workflows and developer-assistance capabilities.

• Develop reusable AI skills and automation components that standardize work with data products and data assets.

• Create mechanisms for distribution, lifecycle management, and monitoring of AI skills.

• Maintain and enhance a shared Apache Airflow platform based on Cloud Composer.

• Build reusable libraries, operators, and common components for Airflow DAG development.

• Develop and maintain infrastructure-as-code assets and Terraform modules.

• Contribute to GitOps adoption initiatives using tools such as Backstage, GitHub, ArgoCD, and Crossplane.

• Collaborate with platform, data engineering, analytics, and machine learning teams to improve platform usability and engineering efficiency.

Project Domain:

e-commerce

Technical Requirements (must have)

• Strong commercial experience with Python development.

• Hands-on experience with Google Cloud Platform (GCP).

• Practical experience with BigQuery and cloud-based data platforms.

• Experience with Apache Airflow, preferably Cloud Composer.

• Experience building platform engineering, developer tooling, or internal self-service solutions.

• Knowledge of Infrastructure as Code practices and Terraform.

• Experience with GitOps principles and modern software delivery practices.

• Good understanding of data engineering concepts and Data Product lifecycle management.

• Experience with PySpark and/or Apache Spark ecosystems.

• Familiarity with FastAPI, Pydantic, and modern Python tooling.

• Knowledge of CI/CD processes and source control best practices.

• Experience working in Agile development environments.

• Strong problem-solving skills and ability to work independently.

• Effective communication skills and ability to collaborate with cross-functional teams.

• Professional proficiency in Polish and English.

Nice-to-have

• Experience with Vertex AI or other GenAI platforms.

• Hands-on experience with GitHub Copilot, Copilot extensions, plugins, or AI-assisted development solutions.

• Experience developing Agentic AI workflows or AI automation capabilities.

• Knowledge of Backstage plugin development.

• Experience with Dataproc.

• Familiarity with dbt and Kedro.

• Experience with ArgoCD and Crossplane.

• Experience building observability, telemetry, or platform analytics solutions.

• Experience working in large-scale data environments supporting analytics and machine learning workloads.

Benefits ✅

• Stable long-term cooperation with opportunity for extension

• Opportunity to work with modern technologies in an international environment

• Professional growth and continuous development opportunities

• Participation in challenging and impactful projects

📩 If you’re interested and meet the qualifications, please send your CV at alina.pchelnikova@dcvtechnologies.co.uk