Senior Data Platform Engineer - Hybrid Pipelines

Avaloq Group; Bioggio; Hybrid; CHF 120.000 - 150.000; Vollzeit

Benefits dieser Stelle

Hybrid and flexible working

Zusammenfassung

Avaloq Group is seeking a Senior Data Platform Engineer in Switzerland to design, build, and operate a scalable data platform for analytics, security, and governance. You will work with security, infrastructure, and application teams to deliver trusted data and drive business insights.

You will develop batch and streaming pipelines, define data models, and implement data quality controls, while collaborating across teams to ensure reliability and scalability of data services.

Qualifikationen

• 8+ years in Data Engineering or related field.
• Strong SQL, data modeling, and schema design.
• Experience building production-grade batch and streaming pipelines.
• Experience with regulated data and security considerations.

Aufgaben

• Design scalable data platform architectures for analytics and security.
• Build batch and streaming pipelines and ingestion frameworks.
• Define storage schemas, partitioning, retention, and lifecycle strategies.
• Ensure pipelines are reliable, observable, and cost-efficient.
• Integrate data from diverse platforms, applications, and APIs.
• Collaborate with analytics and security teams to enable insights.

Kenntnisse

SQL expertise

Python

Data pipelines

CI/CD

Terraform

Data platform design

Data governance

Relational databases

Problem solving

Security/regulatory data

Tools

Kafka

Splunk

Elasticsearch

Apache Spark

Delta Lake

Iceberg

Parquet

Superset/BI tools

Jobbeschreibung

Avaloq Group is seeking a Senior Data Platform Engineer in Switzerland to design, build, and operate a scalable data platform for analytics, security, and governance. You will work with security, infrastructure, and application teams to deliver trusted data and drive business insights.

You will develop batch and streaming pipelines, define data models, and implement data quality controls, while collaborating across teams to ensure reliability and scalability of data services.