Senior Data Engineer (Integrations / Data Platform)
Company Description
Are you passionate about building scalable, reliable data systems that power real-world solutions? We are looking for a Senior Data Engineer to join our team and work remotely from Europe, Ukraine, or LATAM.
At Sigma Software, we partner with innovative companies to deliver cutting-edge technology solutions. This role offers the opportunity to design and operate a canonical data platform that integrates diverse external data sources, ensuring high quality and flexibility.
Why join us? You’ll work with modern technologies, collaborate with talented professionals across multiple regions, and have the freedom to experiment and innovate while contributing to impactful projects in the AdTech domain.
CUSTOMER
Our client is a fast-growing AdTech company focused on solving real-world challenges in digital advertising and data-driven marketing. They specialize in building highly resilient and scalable systems that encourage experimentation and innovation. Their data platform is designed to be both powerful and flexible, enabling engineers to introduce new ideas and leverage the latest technologies to optimize advertising performance and audience insights.
PROJECT
The project involves developing and maintaining a canonical data platform that integrates multiple external data sources. It supports both full data loads and incremental updates, ensures high data quality, and leverages AI-assisted tools for monitoring and issue detection.
Key Technologies: Java, Scala, SQL, GCP Dataflow, REST APIs, AI-assisted tools, event-driven architectures
Job Description
Design, build, and maintain reliable data pipelines to ingest and process data from external systems
Implement integrations using Java or Scala, ensuring scalability and resilience
Handle both full data loads and incremental updates efficiently
Collaborate with engineering and product teams to align on integration and data needs
Develop and maintain a unified internal data model
Ensure data quality, detect and resolve incorrect or incomplete data
Utilize AI-assisted tools to improve data quality and operational efficiency
Monitor and optimize data pipelines for production readiness
Qualifications
At least 5 years of experience as a Data Engineer or Backend/Data Engineer
Strong production experience with Java or Scala
Proven experience integrating external systems via REST APIs (pagination, rate limiting, token-based authentication)
Strong data modelling skills with structured, relational data
Solid SQL knowledge
Experience with GCP Dataflow
Experience operating data pipelines in production environments
Strong communication skills and ability to collaborate across teams
At least an Upper Intermediate level of English
WILL BE A PLUS
Experience with event-driven architectures or messaging systems
Designing canonical schemas across multiple data sources
Experience with LLM (Large Language Models)
Additional Information
PERSONAL PROFILE
Proactive and detail-oriented
Thrives in collaborative environments
Enjoys solving complex integration challenges
Comfortable experimenting with new technologies
Committed to improving data systems
Are you passionate about building scalable, reliable data systems that power real-world solutions? We are looking for a Senior Data Engineer to join our team and work remotely from Europe, Ukraine, or LATAM.
At Sigma Software, we partner with innovative companies to deliver cutting-edge technology solutions. This role offers the opportunity to design and operate a canonical data platform that integrates diverse external data sources, ensuring high quality and flexibility.
Why join us? You’ll work with modern technologies, collaborate with talented professionals across multiple regions, and have the freedom to experiment and innovate while contributing to impactful projects in the AdTech domain.
CUSTOMER
Our client is a fast-growing AdTech company focused on solving real-world challenges in digital advertising and data-driven marketing. They specialize in building highly resilient and scalable systems that encourage experimentation and innovation. Their data platform is designed to be both powerful and flexible, enabling engineers to introduce new ideas and leverage the latest technologies to optimize advertising performance and audience insights.
PROJECT
The project involves developing and maintaining a canonical data platform that integrates multiple external data sources. It supports both full data loads and incremental updates, ensures high data quality, and leverages AI-assisted tools for monitoring and issue detection.
Key Technologies: Java, Scala, SQL, GCP Dataflow, REST APIs, AI-assisted tools, event-driven architectures
Job Description
Design, build, and maintain reliable data pipelines to ingest and process data from external systems
Implement integrations using Java or Scala, ensuring scalability and resilience
Handle both full data loads and incremental updates efficiently
Collaborate with engineering and product teams to align on integration and data needs
Develop and maintain a unified internal data model
Ensure data quality, detect and resolve incorrect or incomplete data
Utilize AI-assisted tools to improve data quality and operational efficiency
Monitor and optimize data pipelines for production readiness
Qualifications
At least 5 years of experience as a Data Engineer or Backend/Data Engineer
Strong production experience with Java or Scala
Proven experience integrating external systems via REST APIs (pagination, rate limiting, token-based authentication)
Strong data modelling skills with structured, relational data
Solid SQL knowledge
Experience with GCP Dataflow
Experience operating data pipelines in production environments
Strong communication skills and ability to collaborate across teams
At least an Upper Intermediate level of English
WILL BE A PLUS
Experience with event-driven architectures or messaging systems
Designing canonical schemas across multiple data sources
Experience with LLM (Large Language Models)
Additional Information
PERSONAL PROFILE
Proactive and detail-oriented
Thrives in collaborative environments
Enjoys solving complex integration challenges
Comfortable experimenting with new technologies
Committed to improving data systems