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Data Architect / Senior Data Engineer - Newcastle
Designs and leads enterprise-grade data platforms, integrating AI/data engineering with cloud technologies (Azure/AWS/GCP) to deliver scalable, secure, and future-proof solutions for clients.
Senior Data Engineer (Azure)
Build and maintain scalable data pipelines on Azure, integrating diverse sources and transforming raw data into reliable, analytics-ready datasets for the business.
Senior Data Engineer – Secure Defence Data Platform
Build secure data pipelines and platforms for defence using Python, Spark, Kafka, and Kubernetes in a hands-on role.
Junior Databricks Engineer - Remote Azure Data Platform
The Junior Databricks Engineer will build and maintain scalable data pipelines on the Azure platform using Databricks, Spark, and Delta Lake. The role involves working with ADLS Gen2, ADF, and Power BI to support enterprise-scale data analytics.
Azure Data Engineer – Remote with Data Platform Impact
Builds and maintains scalable Azure-based data pipelines to support analytics, BI, and AI; designs datasets for insights and integrates enterprise systems.
Data Engineer (Databricks and AWS)
Designs, builds, and optimizes data pipelines on Databricks and AWS to power UK healthcare systems, ensuring scalability, security, and compliance with NHS standards.
Data Engineer – Microsoft Fabric & Analytics Platform
Builds and maintains data pipelines and analytics platforms using Microsoft Fabric, Delta Lake, and Azure technologies to transform enterprise data into actionable insights for reporting and decision-making.
Data Engineer - Databricks Lakehouse Pipelines
Design and build scalable data pipelines on the Databricks Lakehouse Platform for clients, translating business needs into production-grade data solutions.
Azure Data Engineer: Scalable Financial Data Pipelines
Build and maintain scalable Azure data pipelines for financial services, using ADF, Databricks, Python, PySpark and Spark SQL to deliver auditable data at scale.
Data Engineer
Builds and optimizes Azure-based data pipelines to ingest, transform, and deliver financial data (loans, property, collections) into relational models for analytics, risk, and portfolio strategy in Capital Markets.
Senior Data Platform Reliability Engineer (L3)
Senior Data Platform Reliability Engineer (L3) at Tata Consultancy Services ensures reliability, performance, and stability of the enterprise data platform, troubleshooting workflows and driving operational excellence across Databricks, Airflow, and DBT environments.
Data Engineer - BankTech & ML Ops (Híbrido)
Builds and maintains batch/near-real-time data pipelines while designing a Databricks Lakehouse architecture to support analytics and modeling in a fintech environment.
Senior Data Engineer (Databricks + Pyspark + Adf + Unity Catalog)
Designs and maintains large-scale data pipelines using Databricks, PySpark, and Azure Data Factory to modernize enterprise data infrastructure, ensuring governance, security, and performance for analytics.
Data Engineer - L3 Support
L3 support engineer troubleshooting and optimizing Databricks, Airflow, and DBT workflows to maintain enterprise data platform reliability, performance, and stability.
Data Engineer
Builds cloud-based data platforms and pipelines to enable business insights, designing architectures and integrating data from multiple sources (including streaming) for clients across industries. Uses modern tools like Snowflake, Databricks, and Azure Data Factory to deliver iterative, value-driven solutions.
Databricks Data Platform Engineer – Zurich
Develops and optimizes data platforms and ELT pipelines on Databricks Lakehouse, using SQL, Python, PySpark, and Delta Lake to integrate data sources and deliver consulting solutions from design to production.
Data Engineer — Analytics Platform (Remote/Hybrid)
Designs and maintains a cloud-based data platform using Azure Databricks, dbt, and Power BI to transform legacy Data Vault architecture into a modern dimensional model, enabling internal and customer-facing analytics with AI/ML integration.
Databricks Data Engineer - Datenplattformen & Kundenprojekte
Develops and optimizes Databricks Lakehouse-based data platforms and ELT pipelines, implementing data models (Data Vault, 3NF, dimensional) and integrating diverse data sources while advising clients on technical architecture and deployment processes.