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Offer summary
(Summary generated by AI based on the full job description)
The project involves building a cloud-native data platform on AWS providing reusable components for ETL, data governance, and observability. Key technologies include Python, Terraform, Kafka, AWS Kinesis, Soda Core with serverless and event-driven architectures. Responsibilities cover designing pipelines, standardizing data contracts, implementing data quality monitoring, and maintaining CI/CD and infrastructure as code.
from: 29 June 2026
to: 29 July 2026
salary not specifiedB2B contract (full-time)
salary not specifiedcontract of employment
Offer parameters
level:senior
working mode:remote
Kraków, Podgórze
Requirements
Expected technologies
AWS
Python
SQL
Terraform
Jenkins
GitHub Actions
Operating system
Windows
Our requirements
- Have 5+ years of professional experience as a Data Engineer or Platform Engineer with strong focus on AWS services
- Have a proven track record of contributing to production-grade data platforms or complex data infrastructure.
- Understand data modeling and have a solid grasp of ETL best practices.
- Are proficient in Python for pipeline development, automation, and scripting.
- Are familiar with data ingestion mechanisms such as APIs, SFTP, or message queues.
- Have experience building event-driven architectures and scalable, cloud-native data pipelines.
- Have hands-on experience with streaming platforms such as Kafka or AWS Kinesis.
- Implement and maintain data quality rules using Soda Core, integrate quality check results with the DataZone catalog, and define the platform's approach to quality failure handling within the pipeline execution flow.
- Are comfortable building and managing infrastructure using Terraform.
- Use observability tools to monitor logs, performance, and system health.
- Can communicate technical concepts clearly and contribute to cross-team alignment.
Optional
- Experience with Datadog for cloud observability and alerting.
- Familiarity with AI-assisted developer tools such as Claude Code or similar.
Your responsibilities
- Contribute to the design and implementation of reusable ETL pipeline templates, scalable, serverless, and event-driven for processing and transforming large datasets from diverse sources
- Help build reusable, self-service platform components that abstract infrastructure complexity for data producers and consumers.
- Define and evolve standards of data contracts and pipeline configuration schemas that standardize how teams onboard to the platform.
- Implement data lineage tracking, and observability tooling to give producers and operators full visibility into platform health.
- Implement and maintain CI/CD pipelines and infrastructure as code using Terraform.
- Contribute to the technical direction of future platform capabilities, including streaming integrations, consumption interfaces, data democratization, and AI-assisted features such as failure remediation and automated contract suggestions.
About the project
We’re looking for a Senior Data Platform Engineer to join the team building our cloud-native data infrastructure on AWS. You will be an active contributor to the design and evolution of a platform that serves both data producers and consumers, providing reusable, self-service capabilities for ingestion, curation, aggregation, governance, access interfaces, and observability. This is a platform engineering role: the solutions you build are generic, shared infrastructure, not one-off pipelines.
This is how we organize our work
This is how we work
in houseyou focus on product developmentagile
What we offer
- If you have a passion for building robust, reusable data infrastructure and want to help shape a platform that will power data-driven products across the organization, we’d love to hear from you!
Benefits
- sharing the costs of sports activities
- private medical care
- life insurance
- remote work opportunities
- integration events
- no dress code
- coffee / tea
- extra social benefits
Recruitment stages
- 1.Phone interview
- 2.Virtual behavioral interview
- 3.Virtual technical interview
OEC Sp. z o.o.
OEC creates automotive technology, helping repair shops, auto part distributors, and manufacturers run their businesses more effectively and profitably. We increase efficiency across the automotive aftermarket, OEM, collision, mechanical, and supply chain spaces by connecting repair shops, dealers, parts distributors, and manufacturers.
This is how we work
Senior Data Engineer (Data Platform)
I apply to:
OEC Sp. z o.o.
Kraków, Podgórze
Need more information?
- Make sure the body of the offer doesn’t already include what you’re looking for.
- Ask a question if you need more information you’re interested in.
- We’ll forward your question to the employer and aim to provide a response within 3 business days.