Top Data Engineer Jobs in Romania

Design, deploy, test, and maintain control system projects for data center and mission-critical facilities. Develop design documentation, perform bench testing and commissioning of PLC/HMI/SCADA programs, support onsite and remote startups, QA/QC installations, and communicate progress with project management and clients. Travel to client sites for implementation and commissioning.

Lead delivery of data and content migration projects, implement data governance and quality solutions, review and improve migration tools, provide technical plans and troubleshooting, act as SME for content migrations, and manage risks across multiple projects while collaborating with clients and delivery teams.

The role involves driving AI tooling adoption, developing AI agents, embedding in Scrum teams, and optimizing AI's impact on engineering productivity.

As a Senior Software Engineer, you'll design and build scalable market data systems, improve API architecture, and enhance overall system performance, contributing to Alpaca's infrastructure for trading financial assets.

Maintain and scale production data ingestion pipelines processing billions of events, support and optimize complex ETL and streaming workflows, develop platform tools and ML/streaming initiatives, ensure reliability/observability, and assist data scientists and analysts with production workloads.

Lead and deliver end-to-end corporate data pipelines and analytical datasets, ensuring reliability, scalability, data quality, lineage, and governance. Provide hands-on technical leadership, design large-scale data processing solutions, coach data engineers, collaborate with business stakeholders across group functions, and drive enterprise data standards and AI-ready practices to support corporate reporting, KPIs, and regulatory needs.

Design and implement scalable Azure data platforms, develop data pipelines, and support clients with data modernization and governance practices.

Design and build highly scalable, low-latency market data systems and APIs. Implement backend services, influence architecture, maintain test coverage, participate in code reviews, troubleshoot incidents, and occasionally be on-call. Work spans streaming and historical market data endpoints and developer-focused API improvements.

Design, build, and operate Azure-based data platform environments and lead migrations to Azure/Databricks/Microsoft Fabric. Implement IaC (Terraform), Kubernetes platform operations, CI/CD automation, security and governance controls, monitoring/observability, and cost/performance optimizations. Collaborate with data engineers, architects, and stakeholders and produce technical documentation while providing technical leadership during the migration.

Conduct 60-minute technical interviews for senior data engineering candidates, evaluate cloud-based data platform architecture, ETL/ELT pipelines, distributed processing, security, data modelling, and communication. Complete scorecards, provide hiring recommendations, and collaborate with recruiters to improve assessments.

Senior Data Engineer responsible for maintaining Snowflake platform health, troubleshooting ingestion/transformation/orchestration, supporting tenants on Snowflake and Airflow, building and automating CI/CD pipelines, developing end-to-end testing for data flows, optimizing queries and storage, documenting architecture and processes, and supporting releases to ensure reliable, cost-efficient platform delivery.

The role involves developing high-quality backend services, maintaining components, participating in architectural improvements and ensuring system scalability while collaborating with various teams.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.