Senior Data Platform 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 seeking a Senior Data Platform Engineer to design, build, and operate a scalable, secure, and governed data platform supporting security, audit, operational, and analytics workloads.

This role is primarily focused on data engineering and data platform development, including data architecture, ingestion pipelines, data modeling, quality controls, governance, and integration with analytics and security platforms. The successful candidate will have strong experience designing and operating data platforms, building reliable batch and streaming pipelines, and managing large volumes of structured and semi-structured data.

The role requires close collaboration with security, infrastructure, and application teams to deliver trusted, high-quality data that enables monitoring, reporting, threat detection, compliance, and business insights.

Your key tasks

Data Platform Architecture

Design and evolve scalable data platform architectures for security, audit, operational, and analytics data

Define data storage strategies, schemas, data models, partitioning, retention, and lifecycle management approaches

Evaluate and prototype new technologies and architectures to improve scalability, performance, and cost efficiency

Data Engineering & Pipelines

Design, build, and maintain batch and streaming data pipelines

Develop robust ingestion frameworks for logs, audit data, application events, security telemetry, and operational datasets

Implement data transformation, enrichment, normalization, correlation, and aggregation processes

Ensure pipelines are reliable, scalable, observable, and resilient

Data Modeling & Storage

Design relational, analytical, and event-based data models

Optimize database structures, query performance, indexing, and storage efficiency

Support the implementation of data lake, warehouse, and lakehouse concepts where appropriate

Data Quality & Governance

Define and implement data quality controls across ingestion and transformation layers

Develop validation, reconciliation, deduplication, and completeness checks

Support data lineage, metadata management, ownership, retention, auditability, and regulatory requirements

Implement controls for sensitive and regulated data

Platform Integration & Analytics Enablement

Integrate data from diverse internal and external platforms, applications, databases, APIs, and messaging systems

Deliver curated datasets that support reporting, analytics, observability, compliance, and security operations

Support integration with SIEM, monitoring, and business intelligence platforms

Collaborate with analytics and reporting teams to improve data accessibility and usability

Engineering & Automation

Develop data engineering services, tooling, and automation using Python and SQL

Contribute to CI/CD practices for data platform components

Support infrastructure automation where required, using Terraform and related tooling

Maintain engineering standards, documentation, and operational procedures

8+ years of experience in Data Engineering, Data Platform Engineering, Database Engineering, or a related field

Strong SQL expertise, including schema design, data modeling, query optimization, indexing, and performance tuning

Experience designing and operating production-grade batch and/or streaming data pipelines

Experience with large-scale data platforms and analytical data architectures

Strong proficiency in Python and SQL

Experience integrating data from multiple sources, platforms, APIs, and event streams

Strong understanding of data quality, schema evolution, lineage, governance, and lifecycle management

Experience with relational databases and analytical storage technologies

Familiarity with CI/CD concepts and Git-based development practices

Strong analytical, problem-solving, and troubleshooting skills

Experience working with sensitive, security-relevant, or regulated data

Preferred Qualifications

Experience with Kafka or other streaming and messaging technologies

Hands-on administration and search query development with Splunk (SPL) or alternative SIEM/observability stacks (Elasticsearch/Logstash/Kibana, Datadog)

Experience with modern data platform technologies such as Apache Iceberg, Delta Lake, Apache Hudi, Trino, Spark or Parquet

Experience with data lakehouse architectures

Experience implementing data quality frameworks and data governance controls

Familiarity with data cataloging, lineage, and metadata management solutions

Experience integrating data platforms with analytics tools such as Apache Superset, Power BI, Tableau, or Metabase

Experience in banking, fintech, cybersecurity, or other regulated industries

Working knowledge of Terraform and cloud-based data platforms

It would be a real bonus if you have

Security telemetry and audit-event processing

SIEM and observability integrations

Compliance and regulatory reporting datasets

AI/ML-ready data platform architectures

Real-time analytics and event-driven architectures

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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