Data Warehouse - Geneva, Switzerland

Nur für registrierte Mitglieder Geneva, Switzerland, Schweiz

vor 1 Tag

Jobbeschreibung

We seek a highly motivated Data Warehouse & Data Specialist to join our client's Data Engineering team. In this hands-on role, you will own the end-to-end lifecycle of our enterprise Data Warehouse, drive performance optimizations, and enable data-driven decision-making across the bank. You will collaborate closely with business analysts, data scientists, and IT operations to design, develop, and maintain reliable, high-quality data solutions in a regulated financial environment.

Key Responsibilities

Data Ingestion & ETL

Orchestrate and monitor daily data loads into the Enterprise Data Warehouse using SSIS and Azure Data Factory, ensuring data quality, lineage, and error-free processing.

Data Modeling & Cubes

Design, build, and optimize SSAS Tabular and Multidimensional models; develop advanced DAX/MDX measures and time intelligence calculations for self-service analytics.

Performance Tuning

Analyze execution plans and implement indexing, partitioning, and compression strategies to optimize query performance for both OLTP and OLAP workloads.

Cloud Migration

Led the phased migration of on-premises datasets to Azure Fabric and Azure Synapse Analytics, defining data governance, security policies, and cost control best practices.

Reporting & Insights

Develop adhoc and scheduled reports using Power BI and SSRS; partner with business owners to translate requirements into intuitive dashboards and data visualizations.

Continuous Improvement

Collaborate with crossfunctional teams to propose and implement enhancements to Data Warehouse architecture, ETL processes, and the overall data governance framework.

Documentation & Governance

Maintain comprehensive technical documentation, data dictionaries, and standard operating procedures in compliance with regulatory requirements (GDPR, FINMA).

Required Qualifications

Bachelors or Masters degree in Computer Science, Information Systems, or equivalent.
3 to 5 years of proven experience managing enterprise Data Warehouses in a banking or financial services environment.
Advanced expertise with Microsoft SQL Server TSQL, query tuning, indexing, and partitioning.
Strong proficiency in SSAS (Tabular & Multidimensional), SSIS, and Azure Data Factory.
Hands-on experience with Azure Fabric, Synapse Analytics, and Azure Data Lake Storage.
Fluent in French and English; professional proficiency in Dutch is a plus.

Preferred Skills

Power BI development: advanced DAX, performance optimization, rowlevel security.
Experience with Python or R for data preparation, statistical analysis, or automation.
Familiarity with CI/CD pipelines (Azure DevOps), Git version control, and Infrastructure as Code (ARM/Terraform).
Knowledge of ITIL processes, data governance frameworks, and regulatory compliance in finance.

Soft Skills

Exceptional analytical thinking and problem-solving ability.
Strong interpersonal and communication skills can explain complex concepts to technical and nontechnical stakeholders.
Proactive, detail-oriented, and able to manage multiple priorities under tight deadlines.
Collaborative team player with a service mindset and continuous improvement attitude.