Senior Data & Platform Engineer - AML & FCP

Saxo; København; On-site; DKK 800,000 - 1,100,000; Full time

Job summary

Saxo, headquartered in Denmark, seeks a Senior Software/Data Engineer for the FCP Modelling & Development team to build AML data products and robust data pipelines. You will design scalable, compliant production systems and partner with AML experts across monitoring, risk scoring, and governance.

Your background includes Python, SQL, Spark, and modern data platforms. In this role you’ll own data quality, security, and production readiness, with CI/CD, containerization, and Kubernetes.

Qualifications

• 5+ years of experience in data engineering, software engineering, data-platform engineering, or a related production data role.
• Strong Python, SQL, and Spark skills, with experience building and maintaining production data pipelines and data models.
• Practical experience with modern data platforms such as Databricks, Kafka, Snowflake, Airflow, Azure, or similar technologies.
• Experience supporting ML workflows, including feature engineering, feature data preparation, dataset versioning, reproducible training and validation datasets, model-validation support, and production-ready model inputs.
• Deployment skills for production workloads, including CI/CD, containerized services, and Kubernetes or similar orchestration platforms.
• Strong understanding of authentication, authorization, data access controls, encryption, secure handling of sensitive data, and practical data-security patterns using Azure services such as Microsoft Entra ID, Azure Key Vault, Azure RBAC, and Managed Identities.
• Hands‑on experience maintaining production data pipelines, including data quality testing, reconciliation, lineage, metadata management, documentation, monitoring, and operational controls.
• Experience with financial crime prevention in regulated financial services, including AML, KYC/CDD/ODD, sanctions screening, transaction monitoring, client risk rating, and market‑abuse surveillance support.
• Experience with GDPR‑sensitive data, audit evidence, regulator‑facing reporting, or data governance in control‑heavy environments

Responsibilities

• Build, operate, and continuously improve reusable AML data products, data-modelling components, and user-facing interfaces, with clear ownership, lineage, documentation, quality controls, and production reliability.
• Design robust ETL pipelines and integration interfaces for operational, analytical, model-development, and external-platform use cases, enabling secure and efficient data exchange across internal and external systems.
• Translate FCP and AML requirements into durable, adaptable production systems, contributing to solution architecture decisions on design patterns, system scalability, regulatory compliance, and flexibility across AML processes.
• Partner with FCP and AML subject-matter experts on transaction monitoring, customer segmentation, scenario development, client risk rating, surveillance support, and AML-related development initiatives that strengthen financial crime prevention capabilities.
• Define automated checks for completeness, consistency, validity, reconciliation, source-to-target integrity, architectural integrity, security, performance, and governance standards.
• Own observability, alerting, incident response, backfills, runbooks, performance tuning, production support, and operational resilience for critical data assets.
• Raise engineering standards through design and code reviews, mentoring, reusable patterns, clean and well-documented code, test-driven development, secure coding practices, CI/CD pipeline optimization, automated testing, and continuous improvement.

Skills

Python

SQL

Spark

Tools

Databricks

Kafka

Snowflake

Airflow

Azure

Kubernetes

Job description

Saxo, headquartered in Denmark, seeks a Senior Software/Data Engineer for the FCP Modelling & Development team to build AML data products and robust data pipelines. You will design scalable, compliant production systems and partner with AML experts across monitoring, risk scoring, and governance.

Your background includes Python, SQL, Spark, and modern data platforms. In this role you’ll own data quality, security, and production readiness, with CI/CD, containerization, and Kubernetes.