Data Engineer
Maintain and enhance the Snowflake data platform and develop scalable, secure data integration pipelines. Collaborate with cross-functional teams to improve data observability, reliability, and cost efficiency.
12 Data Engineer jobs in Estonia available for remote work from home. Apply for positions such as Data Engineer, Senior Product Data Engineer (remote, Europe), Senior Data Engineer (Data Harmonization) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
Trusted by 200,000+ remote workers worldwide.
Maintain and enhance the Snowflake data platform and develop scalable, secure data integration pipelines. Collaborate with cross-functional teams to improve data observability, reliability, and cost efficiency.
The Data Engineer will design, develop, and optimize scalable ETL/ELT processes and data solutions within Google BigQuery. They are responsible for ensuring data consistency, reliability, and auditability across financial and operational reporting domains.
Own and deliver the year-end financial audit data workstream, including transactional data ingestion and reconciliation. Collaborate with accounting stakeholders to resolve data discrepancies and build robust reporting pipelines in Snowflake and Looker.
Design and optimize end-to-end data solutions, including ingestion, processing, and storage, across cloud and legacy environments. Collaborate with cross-functional teams to modernize data systems while ensuring high standards of data quality, security, and performance.
We watch for new "Data Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
The Data Engineer will own and deliver data engineering tasks, integrations, and marketing systems while troubleshooting pipeline and data quality issues. They will collaborate cross-functionally to transform data across various platforms and support payment orchestration flows.
Build and maintain scalable ETL/ELT pipelines and data models to support business analytics and product features. Collaborate with cross-functional teams to ensure data quality, security, and performance optimization across the data ecosystem.
Build and maintain resilient streaming and batch data pipelines to ingest, normalize, and distribute market and trading data. Develop self-serve tooling and data governance frameworks to ensure high-quality, observable, and performant data products across the organization.
The Principal Software Engineer will design and implement cross-platform software adhering to company requirements while contributing to the continuous improvement of software engineering processes, including automation and standardization. Responsibilities also include developing distributed and scalable data management systems leveraging cloud services and designing efficient data models for life science ontologies.
The role involves tuning ClickHouse queries, administering database settings, and maintaining data models and dashboards in Looker. Additionally, the engineer will manage infrastructure for Kafka, Zookeeper, and Kubernetes to ensure data quality and system performance.
You will lead and execute core 0-to-1 initiatives in the HealthTech domain, translating strategic vision into concrete execution roadmaps. You will architect scalable solutions and drive rapid implementation from prototype to production.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Everything you need to know about remote work