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AVAvaloq

Senior Data Platform Engineer (m/w/x) Bioggio

Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung

Designing and evolving scalable data platform architectures for wealth management technology. 8+ years of data engineering experience required. Hybrid work, flexible working hours.

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Anforderungen

  • 8+ years of experience in Data Engineering, Data Platform Engineering, Database Engineering, or related field
  • Strong SQL expertise, including schema design, data modeling, query optimization, indexing, and performance tuning
  • Experience designing and operating production-grade batch/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
  • 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
  • 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

Aufgaben

  • Design and evolve scalable data platform architectures
  • Define data storage strategies, schemas, and data models
  • Manage data partitioning, retention, and lifecycle
  • Evaluate and prototype new technologies and architectures
  • Design, build, and maintain batch and streaming data pipelines
  • Develop ingestion frameworks for logs, audit data, and events
  • Implement data transformation, enrichment, and aggregation processes
  • Ensure pipelines are reliable, scalable, and observable
  • Design relational, analytical, and event-based data models
  • Optimize database structures and query performance
  • Support data lake, warehouse, and lakehouse concepts
  • Define and implement data quality controls
  • Develop validation, reconciliation, and completeness checks
  • Support data lineage, metadata management, and ownership
  • Implement controls for sensitive and regulated data
  • Integrate data from diverse internal and external platforms
  • Deliver curated datasets for reporting and analytics
  • Support integration with SIEM, monitoring, and BI platforms
  • Collaborate with analytics teams to improve data accessibility
  • Develop data engineering services, tooling, and automation
  • Contribute to CI/CD practices for data platform components
  • Support infrastructure automation using Terraform
  • Maintain engineering standards, documentation, and procedures

Berufserfahrung

8 Jahre

Ausbildung

Bachelor-AbschlussODER
Master-Abschluss

Sprachen

Englisch – verhandlungssicher

Tools & Technologien

SQLPythonKafkaSplunkSPLElasticsearchLogstashKibanaDatadogApache IcebergDelta LakeApache HudiTrinoSparkParquetTerraformApache SupersetPower BITableauMetabase

Benefits

Flexibles Arbeiten
  • Hybrid working
  • Flexible working

Von Nejo automatisch aufbereitet

Nejo hat diesen Job automatisch von der Website des Unternehmens Avaloq erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

Zur Originalanzeige bei Avaloq

Über das Unternehmen

AV
FinancialServicesBioggio

The company is an industry-leading provider of wealth management technology and services for financial institutions worldwide.

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