Backend Engineer

• Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets
• Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements
• Ensure reliable extraction from dynamic and interactive web sources, adapting approaches for JavaScript-rendered content and changing site behavior
• Enforce data quality standards through validation checks, cross-source consistency controls, formatting specifications, and systematic verification prior to delivery
• Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes
• Apply expertise in web scraping, data extraction, and data processing for the Tendem project
• Utilize tools such as Apify, OpenRouter, and other technologies alongside technical expertise and custom approaches

Senior Python Data Scraping Engineer

• Handle end-to-end data extraction workflows across complex websites
• Ensure complete coverage, accuracy, and reliable delivery of structured datasets
• Use tools and custom workflows to accelerate data collection, validation, and task execution
• Extract data from dynamic and interactive web sources, adapting to JavaScript-rendered content and changing site behavior
• Enforce data quality through validation checks, cross-source consistency controls, formatting specifications, and systematic verification
• Scale scraping operations for large datasets using efficient batching or parallelization
• Monitor failures and maintain stability against minor site structure changes
• Apply Python web scraping, data extraction, processing, automation, and LLM tools within the Tendem project
• Work independently to solve non-trivial problems and troubleshoot technical issues

Senior Python Data Scraping Engineer – Freelance

• Build event-driven C# and Python pipelines that process audit events within a defined time budget
• Design processing for retries, out-of-order delivery, poison messages, backpressure, and at-least-once semantics
• Decide how append-only audit pipeline outputs are stored and versioned
• Productionize analytical work as unattended services with scheduling, retries, throughput, cost controls, and monitoring
• Build detection and enrichment services using aggregation, behavioral baselines, risk scoring, deduplication, suppression, thresholding, and confidence scores
• Design configurable customer rules without requiring a release for every detection
• Enrich raw events with severity, reasoning, and links to product APIs
• Design and build C# APIs for the product UI, customer SIEM platforms, and downstream services
• Build integrations for notifications and structured evidence in customer tooling
• Design clean data contracts and event formats for compliance, security, and analytics consumers
• Operate services across Azure, Databricks, and the messaging layer through monitoring, alerting, tracing, and incident response
• Build observability for output-quality degradation
• Maintain CI/CD pipelines, automated testing, and safe deployment practices
• Collaborate with the Data & AI team to move analytical work from proof of concept into production
• Influence architecture across processing pipelines, detection logic, and integration interfaces

Backend Engineer – Event Processing, Intelligence Services (C#, Python)

• Design, develop, maintain, and support .NET 8/10 backend services, Windows Services, and ASP.NET Core APIs
• Implement and support X.509 and other certificate-related workflows, including certificate generation, validation, storage, renewal, and lifecycle management
• Develop and maintain integrations with Azure Blob Storage, Azure Key Vault, and Application Insights
• Troubleshoot and resolve production issues across application, infrastructure, integration, and certificate-related workflows
• Maintain and improve CI/CD pipelines, deployment automation, and release processes using Azure DevOps
• Support production deployments and participate in production rollouts
• Contribute to automated and manual testing, code reviews, and software engineering best practices
• Participate in requirements clarification, technical discussions, and coordination with relevant stakeholders
• Contribute to the continuous improvement of system security, reliability, performance, and maintainability
• Provide technical support and investigation for issues across development, test, and production environments
• Take ownership of technical issues from investigation through implementation, deployment, and production rollout

Backend Engineer jobs in Denmark

Senior Python Data Scraping Engineer

Senior Python Data Scraping Engineer – Freelance

Backend Engineer – Event Processing, Intelligence Services (C#, Python)

Senior .NET Backend Developer