Senior Data Engineer

Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 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.

We are looking for a Senior Data Engineer to act as the technical cornerstone of our security data lake. You will be responsible of ensuring it is high performing, securely governed, and architected for advanced data analytics and reporting. This isn't just a pipeline role; you will own the schema design, data correlation strategies, and the integration layer that connects our disparate data sources into a cohesive, high-utility intelligence layer.

Your key Responsibilities

• Tech Leadership: Lead and coordinate the Security Analytics roadmap and team, including project planning, prioritization, and resource allocation.
• Architectural Ownership: Design and implement scalable data schemas that balance storage efficiency with query performance.
• Integration & Correlation: Build robust ELT/ETL pipelines to ingest diverse data sources, ensuring high data quality and complex correlation across datasets to provide a 360-degree view of business entities.
• Performance Tuning: Optimize data lake performance through advanced partitioning, indexing strategies, and compute management.
• (Extra points) AI/ML Foundations: Apply machine learning and AI techniques (e.g., anomaly detection, clustering, risk scoring) to enhance threat detection and security insights.
• Collaborate with Security Engineers and Cloud Specialists to ensure data availability and quality.
• Identify trends, generate insights, and communicate findings to security, risk, and executive stakeholders.
• Mentor and guide team members, establishing best practices in data collection, analysis, and reporting.

Technical Requirements

• 5+ years in Data Engineering with mastery of Python or Java and expert-level SQL.
• Deep experience with cloud data platforms and orchestration tools.
• Proven track record of designing schemas that handle large-scale data while remaining intuitive for end-users.
• Experience with data governance tools and implementing fine-grained access control.
• Experience with Cloud Service Providers, such as Oracle Cloud (OCI), AWS or Azure.
• (Extra points) Familiarity with MLflow, Tecton, or similar tools used to serve data to ML models.

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.  

 

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