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About The Role
In this role, you will build and evolve scalable data and ML platform capabilities using Python and cloud-native services. You will work with modern data stacks to deliver reliable ingestion pipelines, transformation frameworks, and infrastructure that enable data-driven decisions. You will collaborate with cross-functional teams supporting a leading UK retail client serving millions of customers.
Responsibilities
In this role, you will build and evolve scalable data and ML platform capabilities using Python and cloud-native services. You will work with modern data stacks to deliver reliable ingestion pipelines, transformation frameworks, and infrastructure that enable data-driven decisions. You will collaborate with cross-functional teams supporting a leading UK retail client serving millions of customers.
Responsibilities
- Design and develop scalable data and platform capabilities using Python, DBT, and cloud-native services, building reliable data ingestion pipelines and transformation frameworks that support machine learning and analytics workloads
- Drive ownership of platform reliability and performance by implementing monitoring solutions, governance controls, and ML infrastructure components that ensure secure, stable, and standards-aligned data and ML operations
- Collaborate closely with data engineers, ML engineers, and platform teams to support development, deployment, and monitoring of data and machine learning solutions across shared environments
- Implement infrastructure as code using Terraform to provision, configure, and manage cloud resources that power scalable data platforms and ML infrastructure across multiple environments
- Configure and manage cloud-based infrastructure components, applying established architecture patterns and configuration standards to maintain consistent and reliable platform environments
- Develop and maintain DBT-based transformation frameworks and Python-powered data pipelines to process, transform, and prepare data for analytics and machine learning use cases
- Troubleshoot platform and pipeline issues alongside senior engineers, identifying root causes and implementing improvements that enhance system stability and operational efficiency
- Contribute to technical discussions and platform design decisions, helping refine infrastructure patterns, engineering standards, and best practices for data and machine learning platforms
- Strong proficiency with Python development, including asynchronous programming and frameworks such as FastAPI and aiohttp
- Practical experience with SQL for querying, transforming, and managing relational data
- Hands-on experience with ETL pipeline development and orchestration using Apache Airflow
- Practical experience with infrastructure as code using Terraform
- Working experience with cloud platforms such as AWS or Azure for building and deploying data-driven services
- Foundational understanding of machine learning concepts, including general knowledge of how ML models are developed and used in applications
- Familiarity with Snowflake cloud data platform for data warehousing and analytics (nice-to-have)
Key Skills
Ranked by relevance
cloud
machine learning
python
infrastructure as code
data warehousing
terraform
fastapi
apache
sql
aws
etl
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Login to Apply
- Posted
- Jul 06, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Ukraine
- Company
- SoftServe
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Lead Robotics Engineer (Space)
2026-07-06
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Not Applicable
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IT Services
Engineering
View Job Details
Related
Senior Omniverse Engineer
2026-06-17
Full-time
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Engineering
View Job Details
Related
Senior Omniverse Engineer
2026-07-02
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