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

Secomea

. Build event-driven C# and Python pipelines that process audit events within a defined time budget .

Posted 9/23/2026full-timeCopenhagen • DenmarkMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building event-driven C# and Python pipelines, designing robust data processing systems, and implementing production-grade ETL solutions. Proficient in cloud-based data platforms, particularly Azure Databricks, with a strong focus on CI/CD practices and observability.

Highest-signal resume keywords

C#/.NET Backend DevelopmentPython Data ProcessingEvent-Driven SystemsProduction ETL DesignCI/CD Tools

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Hard Skills

C#/.NET DevelopmentPython ProgrammingEvent-Driven ArchitectureREST API DesignData Pipeline ImplementationCloud-Based Data PlatformsCI/CD PracticesData Store DesignMulti-Tenant System DevelopmentCode Quality and Testing

Tools & Technologies

Azure DatabricksRabbitMQKafkaDockerKubernetesGitHub ActionsPrometheusGrafanaOpenTelemetryAzure Data Factory

Industry Keywords

Event ProcessingData IsolationCompliance FrameworksMLOpsAnomaly Detection

Tech Stack

Tools & technologies

AirflowAzureCloudDockerETLGrafanaKafkaKubernetesPrometheusPySparkPythonRabbitMQTerraform.NET

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Solid experience with C#/.NET backend development
Working proficiency in Python for data processing and pipeline work
Strong experience with event-driven and asynchronous systems, including queues, event buses, or message brokers
Understanding of failure modes in event-driven systems
Experience designing and implementing production ETL or data pipelines
Experience designing and building REST APIs; streaming or event-driven interfaces are advantageous
Experience with cloud-based data platforms, preferably Azure Databricks
Experience working across a Python data stack and a C#/.NET production environment
Understanding of relational and/or distributed data stores, including schema design and evolution
Experience building multi-tenant systems with data isolation enforced in the data access path
Experience with CI/CD tools, especially GitHub Actions
Strong code quality, testing, and maintainability practices
Nice-to-have experience with RabbitMQ, Kafka, Event Hubs, change data capture, Kubernetes, Docker, AKS, Bicep, Terraform, Databricks Workflows, Airflow, Azure Data Factory, Azure services, Prometheus, Grafana, OpenTelemetry, SIEM, OT/ICS, compliance frameworks, MLOps, Databricks, PySpark, Delta Lake, anomaly detection, and LLMs in production
Mid-Level to Senior seniority

Benefits

Comp & perks

Opportunity to grow professionally, personally, and as part of a collaborative team
Support and resources to do meaningful work
Collaborative culture of belonging, respect, and excellence
Work with talented and passionate industry colleagues
Hybrid work arrangement with possibility to work remotely