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Senior Applied AI Engineer
Build and scale an agentic AI platform (Floyd) that turns investment research into structured insights using LLM APIs, vector DBs, and Databricks pipelines, while collaborating with investment teams.
Azure Data Engineer – Databricks, Java/Python, Hybrid
Builds and maintains Azure-based data pipelines and analytics solutions using Databricks, Java Spring Boot, and Python in a hybrid role.
Senior Data Engineer - Dataiku & Full-Stack Data Solutions
Design and build database solutions and full-stack data pipelines using SQL and Python, while collaborating in Agile teams and documenting architecture.
Data Engineer
Build and maintain data pipelines in Snowflake and AWS, transforming raw insurance data into clean, analytics-ready tables with dbt for downstream AI/ML and BI use.
Lead Data Engineer - International Consumer Bank (Chase UK)
Lead a team building secure, scalable data pipelines and analytics for Chase UK’s digital bank, using Python, cloud tech, and event-driven architectures to power payments, lending, and regulatory reporting.
Head of Data Engineering - Microsoft Fabric
Lead a team to build Microsoft Fabric-based data pipelines and lakehouse solutions, set engineering standards, and integrate enterprise platforms like Salesforce and Workday.
Information Systems Analyst
Analyze and model data using SQL, Power BI, and Excel to build reports and tools that support decision-making for a charity supporting people with learning disabilities.
Data Architect
Designs enterprise data architecture, builds Common Data Models in Microsoft Fabric, and integrates Azure/SQL Server systems to unify customer and property data for a large data-transformation programme.
Site Reliability Engineer Dynatrace
Build and maintain cloud-scale observability and security platforms using Dynatrace, AWS, and Azure to detect runtime vulnerabilities and protect workloads before incidents occur.
Data Engineer
Build and maintain secure data pipelines and warehouses in Azure to power analytics and reporting for New Zealand’s aviation regulator.
Technical Product Owner/Business Analyst
Owns data-centric product requirements for a healthcare tech platform, turning business needs into SQL-backed specs, acceptance criteria, and delivery plans while collaborating with engineering, QA, and stakeholders.
Data Engineer - ETL & Analytics (Onsite, CDO)
Build and maintain scalable data pipelines and ETL/ELT processes onsite, optimizing data architectures for analytics and BI while ensuring data quality and reliability.
Staff Data Engineer — Cloud Pipelines & BI
Build and maintain cloud-based data pipelines and BI systems using SQL, Python, and PySpark to support EY’s global consulting operations.
GDS Consulting_Staff Data Engineer
Build and maintain cloud data pipelines and BI reports for EY’s global consulting teams using Azure, Databricks, Snowflake, and Python/SQL.
AI-Driven Finance Data Engineer
Builds and maintains finance data pipelines, ETL processes, and AI-augmented analytics for Globe Telecom’s financial applications and reporting.
Data Engineer (AU Retail, Hybrid)
Build and maintain scalable data pipelines on Snowflake in AWS, write SQL/Python code, and ensure data quality for a retail loyalty platform.
Staff Data Engineer
Build and maintain Verkada’s enterprise data warehouse, automated pipelines, and analytics models to power company-wide reporting and AI-driven insights using Python, SQL, and cloud platforms like BigQuery or Snowflake.
GDS Consulting_Senior Data Engineer
Build and optimize cloud data pipelines using Azure/AWS/GCP tools, then surface insights with BI platforms like Power BI or Tableau.
Cloud Data Engineer – Scalable Pipelines & Insights
Builds and maintains cloud data pipelines on Azure, AWS, GCP and Snowflake to ingest and process data for EY clients.
Data Engineer L3: Azure Databricks & Data Pipelines
Designs and builds Azure Databricks-based data pipelines and storage solutions using SQL, Python, and PySpark to optimize data flows and warehouse performance.