Senior Data Engineer — Wealth / Asset Management Offline

About the Project
We're looking for a Senior Data Engineer to support a client in the wealth/asset management space. This is a long-term engagement (6+ months) — you'll work on data integration, data platform modernization, and analytics/reporting enablement in an environment where data accuracy, quality, and governance are business-critical.

What You'll Do:

• Design, build, and maintain scalable data pipelines from enterprise systems into analytics/reporting environments
• Integrate data from SAP, CRM, portfolio management platforms, APIs, databases, and flat files
• Build and optimize data models for BI, dashboards, and business analytics
• Prepare clean, reliable datasets to support Tableau / Power BI reporting
• Develop ETL/ELT workflows covering ingestion, transformation, validation, and reconciliation
• Implement data quality checks, monitoring, and logging
• Work with business stakeholders to translate reporting requirements into data models
• Support migration and modernization of legacy reporting/data workflows into scalable architecture
• Ensure data security, governance, and compliance aligned with financial industry standards

What We're Looking For:

• 5+ years of experience in data engineering, data warehousing, or analytics engineering
• Strong SQL skills and experience designing analytical data models
• Proven experience building ETL/ELT pipelines with structured business data
• Hands-on experience with cloud data platforms: Snowflake, Databricks, BigQuery, Redshift, Azure Synapse, or similar
• Experience integrating data from ERP/enterprise systems; SAP experience is a strong plus
• Experience supporting BI tools such as Tableau, Power BI, or Looker
• Solid understanding of data quality, lineage, governance, and access control
• Experience with APIs, batch loads, scheduled jobs, and file-based integrations
• Strong communication skills and ability to work in a client-facing environment

Nice to Have:

• Background in wealth/asset management, private banking, investment management, or financial services
• Experience with portfolio, holdings, transactions, performance, or client/advisor data
• SAP BW / SAP HANA / SAP Datasphere
• Python for data processing and automation
• dbt, Airflow, Fivetran, Matillion, Informatica, Azure Data Factory, or AWS Glue
• Experience with MDM, data catalogues, or data governance platforms
• Understanding of financial, regulatory, or client reporting workflows