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Senior Analyst, Data Analytics Enablement
Senior Analyst builds and maintains PSP’s data platform, integrating market and internal data, ensuring quality and cataloguing, and enabling analytics for investment decisions.
Senior Data Analytics Enablement Specialist
Build and execute PSP’s data & analytics roadmap, integrate and govern data sources, and enable teams to make data-driven decisions across the organization.
Slalom Senior Consultant Analytics Engineer
Senior Consultant Analytics Engineer designs advanced data models and ETL pipelines using SQL and Python to modernize analytics solutions for clients.
Analytics Engineer - Senior Consultant or Consultant
Builds and modernizes data models/semantic layers for self-service analytics, blending tools like Power BI/Tableau with Python/SQL to enable AI-driven reporting and cross-platform insights for clients.
Senior Analytics Engineer
Senior Analytics Engineer builds trusted, business-ready data models and semantic layers in Databricks to power dashboards, Genie spaces, and AI-driven self-serve analytics for product and business decisions.
Remote BI & Analytics Engineer
Designs and maintains enterprise BI solutions, optimizing SQL/BigQuery queries and building dashboards/visualizations for data-driven decision-making across cloud platforms.
Analytics Engineer
Build and maintain analytical data models and ELT/ETL pipelines, translating business needs into reliable, high-performing BI solutions using SQL, Power BI, and Snowflake.
Analytics Engineer - BRP
Build and maintain analytical data models and pipelines to turn raw enterprise data into reliable, business-ready insights using SQL, Power BI, and modern BI tools.
Analytics Engineer (NEW GRAD)
Builds governed data pipelines, semantic models, and Power BI reports using Python, SQL, and Microsoft Fabric to modernize supply-chain analytics and enable AI-assisted self-service insights.
Principal Software Engineer - Discovery
Principal Software Engineer maintaining ServiceNow Discovery and CMDB to map and manage Westpac’s technology assets and relationships, ensuring accurate, reliable data for service management.
Senior Data Engineer
Build and optimize scalable ELT/ETL pipelines, SQL/PLSQL queries, and hybrid cloud data infrastructure for Nordea’s credit and capital data foundation, ensuring regulatory compliance and high-performance analytics.
Madrid, Spain On-site Procter & Gamble Data Engineer Internship
A Data Engineer Intern at P&G builds and optimizes ETL pipelines, ensures data quality, and supports A/B testing experiments while monitoring performance in a global consumer goods company.
Data Engineer Intern — Build ETL Pipelines in Madrid
Build and optimize ETL pipelines in Python and SQL while collaborating with teams to improve data quality and cloud infrastructure.
Data Engineer Intern: Build Pipelines & Insights
Build and optimize ETL pipelines, implement data quality checks, and support data infrastructure for A/B testing and statistical analysis at Procter & Gamble in Madrid.
Data Pipeline & Analytics Engineer
Designs and maintains scalable data pipelines and ETL/ELT processes, optimizes SQL queries, and builds data warehouse structures for a multilingual organization.
Data Engineer
Senior Data Engineer builds and scales a unified data ecosystem for 60+ brands, creating ETL/ELT pipelines, optimizing cloud data platforms, and enforcing governance for AI/ML use cases.
Senior Data Engineer: Scalable Pipelines & Data Platforms
Designs and builds scalable data pipelines and lakehouse architectures, integrating SAP, CRM, and cloud sources using Snowflake, Databricks, or similar platforms.
Remote Azure Data Engineer: ETL, Synapse & Warehousing
Builds and maintains ETL pipelines in Azure Synapse using Python (PySpark) to design data storage and ensure quality for cross-functional teams.
People and Capability Data Analyst
Analyze HR data and build workforce dashboards in Power BI to deliver workforce reports and ad-hoc insights for HM Treasury leadership.
Senior Programme Manager - Data Quality & Transformation
Leads a data-quality remediation programme for a Tier 1 investment bank, aligning stakeholders and improving client reference data across Front Office functions.