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The RoleAs a market leader in PIM/MDM solutions, Pivotree implements enterprise master data platforms (Stibo STEP,Syndigo, Akeneo, and cloud-native solutions) for Fortune 500 and mid-market clients. This is a hands-on…
Build and maintain a centralised Microsoft Fabric data warehouse using PySpark and SQL, applying medallion architecture to turn raw source data into trusted, analytics-ready products for CommBank.
Build and migrate data pipelines from Teradata to AWS Lakehouse using Databricks, dbt, Airflow, and Iceberg for a regulated financial services client.
Designs and builds scalable data models and pipelines for a financial services firm, ensuring data quality and enabling self-service analytics.
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines across GCP, AWS, and Azure while embedding governance, quality, and security controls.
Senior Data Engineer builds and maintains scalable batch/streaming pipelines (PySpark, SQL) for EY GDS Spain, supporting clients’ digital transformation with distributed data processing and ETL/ELT workflows.
Build cloud-native data platforms and MLOps workflows, designing ETL/ELT pipelines, data lakes/warehouses, and feature stores for AI/ML and analytics.
Build and optimize ETL/ELT pipelines to move and transform data between Snowflake, Salesforce, SAP and other corporate systems using Informatica Cloud and Python.
Build and maintain scalable data pipelines, AI/ML Ops workflows, and cloud-native data platforms for a global financial firm, using Python, Java, Airflow, Snowflake, and React.
Build and own a structured research data platform for investment teams, ingesting and parsing documents (PDF, HTML, XBRL) and deploying LLM-powered query APIs on cloud data warehouses.
Build and maintain scalable data pipelines using Python, Spark, and cloud services (AWS/GCP) to process and transform large datasets efficiently.
Build and maintain a centralised data warehouse using Microsoft Fabric, PySpark, and SQL to deliver trusted, analytics-ready data products for enterprise insights.
Senior Business Analyst bridging finance, data, and technology to design enterprise data solutions and financial reporting for a major NYC bank.
Lead data governance for a major bank’s Risk & Compliance division, ensuring accurate, accessible data and aligning systems with regulatory standards while managing a team of data professionals.
Lead data governance for a major bank’s IT, People, and Legal functions, defining strategy, managing quality, and ensuring compliance with enterprise standards.
Build and maintain scalable data pipelines using Databricks, PySpark, Azure Data Factory, and Python, ensuring data governance and quality for enterprise solutions.
Lead the build-out of scalable ETL/ELT pipelines and a governed data warehouse for an electric-air-taxi startup, ensuring auditable data lineage and clean access layers for engineering and commercial teams.
The Senior Marketing Analyst will act as the analytical backbone of the Central Marketing team, turning complex marketing and customer data into clear, actionable insight that shapes budget decisions, campaign…
Data Analyst builds and validates data pipelines for MAS 610 regulatory reporting in a banking transformation, mapping sources to reports and ensuring accuracy through SQL and data quality rules.
Finance-focused data analyst in banking who designs P&L, cost allocation, FTP, and GL reporting by translating accounting rules into SQL-based data models and dashboards.
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