Senior Data Engineer

<p>We are reviewing applications from candidates based in Croatia, Serbia, Romania, and Bulgaria. Candidates must have residency and work authorization in one of these countries. We do not offer visa sponsorship or B2B engagement at the moment.</p> <p><strong>About us <br></strong></p> <p>Microblink is the Identity Intelligence OS that establishes Know Your Actor: control over people and agents, how risk is assessed, and how decisions are made across digital journeys. Built for an adversarial AI era, Microblink replaces static verification with continuous identity control. As the only solution spanning IDs, biometrics, and payment cards, Microblink delivers a real-time command center where signals, policies, and decisioning can be calibrated with granular precision. Companies use Microblink to adapt faster than fraud, optimize outcomes over time, and enforce trust at scale across onboarding, authentication, and every moment in between. In 2025, Microblink processed 2.9 billion identities across 195+ countries/territories. Its proprietary Fraud Lab generates 100,000+ images monthly for training and testing models, achieving 100% deepfake detection in DHS-powered testing.</p> <p>Interested in learning more? <a href="https://microblink.com/demo/" target="_blank">Explore our tech in action</a>. <br><br><strong>Here’s what you’ll do:</strong></p> <ul> <li><strong>Architect and Scale Data Pipelines:</strong> Design, build, and maintain robust <strong>ETL/ELT</strong> pipelines (both batch and real-time streaming) using modern data orchestration tools (e.g., Airflow, Dagster, Prefect).</li> <li><strong>Empower ML and Analytics:</strong> Partner closely with Data Science and ML teams to streamline data synchronization, feature engineering, and operationalize ML models.</li> <li><strong>Drive Automation and Tooling:</strong> Optimize our data infrastructure by automating data flows and enhancing internal analytics pipelines, leveraging modern transformation tools (like dbt) to improve overall analytics efficiency.</li> <li><strong>Innovate with Synthetic Data:</strong> Develop and implement synthetic data generation pipelines to support robust model training and privacy-safe testing environments.</li> <li><strong>Act as a Strategic Partner:</strong> Gain deep domain expertise to help shape our data architecture and collaborate with Data/ML teams to define high-impact projects.</li> <li><strong>Champion Engineering Excellence:</strong> Actively participate in Agile ceremonies (sprint planning, retrospectives) and drive best practices in code reviews, CI/CD, and data quality testing.</li> <li><strong>Ensure Data Governance:</strong> Design sys