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AI Summary
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
- Build and support data pipelines that ingest data from external systems
- Work with both full data loads and regular incremental updates
- Develop and maintain integrations using Java
- Help design and maintain a unified internal data model
- Ensure data quality and handle incorrect or incomplete data
- Use AI‑assisted tools and approaches to improve data quality, detect issues, and support operations when appropriate
- Ensure data pipelines are reliable, well‑monitored, and production‑ready
- Work closely with engineering and product teams on integration and data needs
Qualifications
- At least 5 years of professional experience as a Data Engineer
- Strong production experience with Java
- Experience with at least one data processing framework, such as Apache Spark, Apache Beam, or Apache Flink
- Experience integrating external systems via REST APIs, including pagination, rate limiting, and token‑based authentication
- Strong data modelling skills and experience working with structured, relational data
- Solid SQL knowledge
- GCP Dataflow experience
- Experience operating data pipelines in production environments
- Strong communication skills and ability to work across teams
- English level - Upper Intermediate
NICE TO HAVE
- Experience with event‑driven architectures or messaging systems
- Experience designing canonical schemas across multiple data sources
- Experience with LLM
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
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