Data Engineer

• Own and continuously improve Creditstar's data platform on AWS and Snowflake, keeping it reliable, performant, and scalable.
• Strengthen platform performance, security, secrets management, and observability across the data stack.
• Track and optimize Snowflake and AWS spend and lead FinOps practices within the data team.
• Advance data governance through data ownership, access and PII controls, data lineage, and audit readiness in line with GDPR and internal policies.
• Define and uphold engineering standards for testing, versioning, code reviews, CI/CD, and Git-based workflows.
• Own the integration layer connecting internal and third-party data sources.
• Lead responses to data platform incidents through durable fixes.
• Work with DevOps on underlying infrastructure by setting requirements and reviewing solutions.
• Support BI Engineers, Analysts, and Data Scientists with a governed, documented, self-serve platform.

Senior Data Platform Engineer

• Build and lead a distributed team of data engineers across the Nordic countries and Latvia
• Support chapter members’ professional growth, engagement, and development
• Set standards for data ownership, quality, reliability, and delivery
• Foster a collaborative, supportive, and learning-oriented engineering culture
• Promote reusability, automation, testing, security, and scalable data products
• Contribute to solution development while coaching and mentoring engineers in Azure Databricks
• Enable engineers to architect, build, and operate cost-efficient, production-grade data products, pipelines, and lakehouse services
• Establish engineering practices for data quality, governance, CI/CD, Infrastructure as Code, and operational excellence
• Drive standardization, modular design, scalability, and cost efficiency across the Azure data platform
• Build engineering capabilities and communities of practice across teams and domains

Data Engineer jobs in Latvia

Senior Data Platform Engineer

Data Engineering Lead, MarTech – Azure Databricks