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Sr. Data Engineer - Services Special Projects
Designs and builds real-time, multimodal data pipelines that enrich raw data with ML models to power Apple’s customer-facing services at massive scale.
Lead Data Consultant - Microsoft Fabric Analytics Engineer
About this role | Mō tēnei tūranga mahi Theta is seeking an experienced Lead Analytics Engineer to join the Data and Insights Practice, based in our Wellington office. This is a priority hire within a team that values…
Principal Data and AI Architect
Recognised as one of the world's largest IT and business consulting firms, CGI has offices across Australia, supporting public and private sector clients to solve complex business challenges through technology. The…
Lead Data Engineer
Lead Data Engineer Location: Leicester, Leicestershire, United Kingdom We are looking for a Lead Data Engineer to join our eCommerce Data team. Based from NEXT Head Office in Enderby, Leicestershire! The Role: As a…
Data Engineer, Microsoft Fabric
Microsoft Fabric Data Engineer Location: Beirut, Beirut Governorate, lb Company Description The Company: Sucafina is the leading sustainable Farm to Roaster coffee company, with a family tradition in commodities that…
Senior Data Scientist
Senior Data Scientist Welwyn Garden City, Hertfordshire or Slough, Berkshire | Hybrid (2 Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity…
Senior Data Engineer
Design and build secure, cloud-native data platforms (lakes, warehouses, lakehouses) using Databricks, Snowflake, Azure and AWS, then govern them for analytics, AI, and regulatory compliance.
Power BI / Azure Data Engineer
Build and maintain Power BI dashboards, Azure data pipelines, and cloud analytics solutions using SQL, Python, and Microsoft Fabric to deliver business insights.
Senior GCP Data Engineer
Builds and maintains scalable GCP data pipelines and cloud-native solutions for enterprise analytics and AI, using BigQuery, Dataflow, and Python.
Principal Data Scientist – Financial Crime Model Validation
Lead the validation of financial crime models, transitioning from rule-based alerting to ML/GenAI approaches in a regulated bank environment using Python, PySpark and AWS.
Lead Data Engineer
Lead a team to design, build, and maintain scalable data pipelines and analytics platforms using Azure Data Factory, Databricks, SQL Server, and Python for a global financial markets infrastructure company.
Custom Software Engineer
Designs, codes, and enhances custom software solutions using modern frameworks and agile practices, with a focus on data engineering and scalable systems.
Associate Director - Integrated Risk Data Engineer
Designs and maintains the data infrastructure for Lilly’s risk management program using Microsoft Fabric, integrating systems like ServiceNow GRC and SAP to deliver accurate, real-time risk intelligence for enterprise decision-making.
Custom Software Engineer
Design and build enterprise-scale data pipelines and cloud architectures on AWS, Databricks, Snowflake, and PySpark, while enabling AI-ready data platforms and leading cross-functional teams.
Cloud DevOps - Consultant
Senior DevOps & Cloud Engineer designs and optimizes cloud data platforms, builds ETL/ELT pipelines, and deploys containerized services using Azure or GCP tools like Synapse, Databricks, and Kubernetes.
Database Administrator
Designs, implements, and maintains databases using Databricks, SQL, and Python to build scalable data pipelines and ensure data integrity for enterprise clients.
Principal Data & IT Platform Engineer (Houston or Dallas, TX)
Principal engineer designs and builds a secure, governed Azure/SAP data platform (Microsoft Fabric, OneLake, SAP BDC) to centralize analytics, reporting, and AI across a chemicals manufacturer.
Manager- Data Engineer
Build and optimize ETL pipelines in Microsoft Fabric using Python, PySpark, and SQL to move and transform data for analytics and reporting, while collaborating with global teams.
Data Engineer l Contract
Design and maintain scalable data pipelines and ETL processes using SQL, Python, Databricks, and PySpark to ensure reliable, high-quality data access and analytics for an organization.