Security Data Engineer

Company Description

Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 160 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues.

We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential.

Job Description

We are seeking a
Security Data Engineer
to drive the automation of our data pipelines, dashboards, and reporting infrastructure across a diverse set of security data sources. In this role, you will play a critical part in reducing manual effort, increasing data reliability, and delivering timely, actionable insights to security teams and stakeholders.

Your Key Tasks:

Automation & Engineering

• Automate
  end-to-end data extraction, transformation, and loading (ETL) processes from a variety of sources including databases, APIs, and third-party tools (e.g., Splunk, Tenable).
• Build and maintain
  scalable, fault-tolerant pipelines
  to collect, normalize, and enrich security data.
• Develop
  event-driven and scheduled data workflows
  to ensure timely delivery of critical security metrics and insights.
• Build
  automated classifiers, scoring systems, or recommendation engines
  that support threat detection, vulnerability management, or incident prioritization.
• Use large language models (LLMs) or embeddings where appropriate to enrich and interpret semi-structured log data.

Reporting & Dashboards

• Automate the generation and deployment of
  interactive dashboards and reports
  using tools like Apache Superset, Grafana, or similar.
• Ensure reports are updated in near real-time and designed to scale with growing data volumes.

Analysis & Insights

• Conduct exploratory data analysis to detect patterns, anomalies, and trends in security data.
• Translate complex datasets into
  automated alerts, metrics, and recommendations
  that support incident response and threat detection.

Stakeholder Enablement

• Collaborate with engineers, security teams, and internal stakeholders to
  identify manual reporting tasks
  that can be automated or streamlined.
• Customize automation solutions to align with stakeholder needs and business goals.

Documentation & Governance

• Maintain
  clear, version-controlled documentation
  of data sources, ETL pipelines, and automation logic.
• Ensure automation processes meet internal security, compliance, and data governance standards.

Qualifications

Background

• Bachelor's or Master's degree in Computer Science, Data Engineering, AI/ML, or Information Security.
• 5+ years of experience in data engineering or backend development with hands-on automation experience.

Technical Skills

• Proficient in
  Python
  and/or
  Go
  , with experience building scalable data systems and automation scripts.
• Strong knowledge of
  SQL
  ,
  data modeling
  , and pipeline orchestration frameworks (e.g., Airflow, Dagster).
• Familiarity with
  ML tools
  (e.g., scikit-learn, XGBoost, TensorFlow, or LLM APIs) and their application to structured data.
• Experience with
  security data sources
  (e.g., SIEMs, vulnerability scanners) and cloud platforms (OCI, AWS, Azure).
• Comfortable with
  version control, CI/CD pipelines
  , and containerized environments (Docker/Kubernetes).

Security & AI Awareness

• Solid understanding of
  cybersecurity principles
  and common data patterns in threat detection and response.
• Experience applying
  AI/ML in security
  contexts (e.g., anomaly detection, risk scoring, log classification) is a strong plus.

Soft Skills

• Clear communicator able to bridge the gap between technical implementation and stakeholder needs.
• Passionate about automation, clean design, and applying intelligent systems to solve real-world problems.

Additional information

We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices.

In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self.

We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way.

Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.