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Senior data analyst at a large bank, wrangling complex datasets with SQL and Python to produce insights that guide business decisions and mentor junior analysts.
Build and maintain scalable GCP-based data pipelines and cloud infrastructure to process financial data, enabling analytics and reporting for Ford’s Finance Data Hub.
Builds scalable GCP-based data pipelines and cloud infrastructure for Ford’s global finance data hub, focusing on batch/streaming ingestion, data warehousing, DevOps automation, and governance to enable enterprise reporting and analytics.
Design and migrate data pipelines from legacy Ab Initio systems to modern cloud stacks (AWS, Databricks, Spark) to build scalable, secure data warehouses and lakes for a large bank.
Designs and implements Reltio-based Master Data Management (MDM) solutions for Amgen’s pharma/life sciences data, focusing on data modeling, Lifecycle Actions, Python scripting, and API integrations to ensure golden record accuracy and compliance.
Build and govern enterprise reference data models, taxonomies, and ontologies for a biotech company, ensuring semantic interoperability and FAIR data principles across scientific and business domains.
Position Summary... What you'll
Design and build scalable data pipelines and warehouse models to deliver trusted insights from product and corporate systems to Salesforce teams using ETL, SQL, and big-data tech.
Design and build scalable cloud-native data pipelines and warehouses that transform raw enterprise data into trusted, actionable insights for analytics and decision-making.
Location: Barcelona | Hybrid working: three days per week in the office and two days from home This role supports the delivery, governance, and continuous improvement of enterprise digital analytics and AI-enabled…
Build and maintain a full-stack AI sales assistant using Python, FastAPI, and Next.js, deploying on Azure with CI/CD pipelines while collaborating with AI engineers and data scientists.
Principal Data Architect designs and leads the VetSoft Analytics Team’s data architecture, building scalable pipelines and curated data products that power dashboards, self-service analytics, and AI agents for IDEXX’s veterinary and pet-health platforms.
Builds and maintains high-volume data pipelines for the U.S. Department of Justice’s digital evidence platform, handling structured/unstructured data (forensics, documents, multimedia) with strict integrity, auditability, and chain-of-custody controls.
Maintains data lineage and governance documentation, gathers stakeholder input, and supports data quality reviews for a global financial-services firm.
Designs scalable data models and storage for applications using Databricks, Azure SQL, and AI services, ensuring efficient integration and governance.
Design and model scalable data architectures using Databricks, Azure SQL, and Cosmos DB to support AI-driven applications and data pipelines.
Build and optimize Python-based data pipelines and ETL processes for a large banking client, using SQL, Pandas, PySpark, and cloud tools to ingest, transform, and deliver high-quality data.
Lead the bank’s enterprise data engineering vision, modernizing platforms like Databricks and Snowflake to power analytics and AI while ensuring regulatory compliance and scalable data architecture.
Senior Data Engineer builds and scales cloud data pipelines using BigQuery, dbt, and Python, ensuring reliable, normalized data flows for business decisions.
Builds and maintains next-gen AML transaction monitoring systems using cloud platforms, PL/SQL, and data analytics to detect financial crime while ensuring data accuracy, governance, and compliance with regulatory requirements.
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