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Build and maintain scalable data pipelines on Databricks, integrating diverse sources and industrializing ML models for enterprise clients.
Design and build scalable Snowflake-based ELT pipelines, optimize SQL workloads, and model data warehouses for modern data platforms.
Design and build scalable data pipelines and cloud-based data platforms for clients, using tools like Terraform, Spark, Kafka, and Snowflake.
Senior Data Engineer builds and maintains cloud-based data pipelines for enterprise clients, using Python, SQL, dbt, and Airflow to integrate, transform, and deliver reliable analytics-ready data.
Design and build modern data platforms, including pipelines, Lakehouse/Data Warehouse architectures, and cloud data solutions using Snowflake, Databricks, and Python/Spark.
Build and maintain real-time data pipelines for a consulting firm, ensuring consistency and performance in production cloud environments while bridging technical and business teams.
Builds and optimizes data pipelines in Snowflake and DBT, ensuring clean, governed data for analytics and reporting across the company.
Design and build scalable data pipelines and GenAI platforms on AWS, using Spark and modern data architecture to support analytics, AI, and Generative AI use cases.
Design and build scalable data pipelines and cloud-based data platforms using PySpark, Snowflake, and Databricks to support AI and analytics initiatives.
Lead Data Engineer designs and scales Big Data pipelines and cloud infrastructures for clients, using Spark, Kafka, Kubernetes and DevOps practices to ensure high-performance, scalable data processing.
Build and scale cloud data pipelines for clients using Azure, AWS, or GCP, ingesting and transforming data with Spark, Airflow, and Kafka to make it analytics-ready.
Build and maintain scalable data pipelines and models (Snowflake, dbt, Airflow) to power analytics, reporting, and AI use cases for a global enterprise integration platform.
Design and deploy cloud data pipelines on GCP, focusing on ingestion, modeling, and orchestration for international clients.
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Designs and builds cloud data pipelines and AI solutions for enterprise clients, focusing on generative AI and cloud migration using Python, Snowflake, and DataOps practices.
Lead a DevOps team to build and run secure, scalable Kubernetes/OpenShift platforms with CI/CD, IaC, and observability, supporting AI/data workloads in a hybrid Azure/on-prem environment.
Build and optimise cloud-first data pipelines using Azure Data Factory, Synapse, and Databricks to support analytics and AI for UK industries.
Lead data engineering teams to design and deliver scalable data platforms for clients, using Databricks, SQL Server, and Microsoft Fabric in Azure.
Senior Data Engineer builds scalable Azure-based data pipelines and Power BI semantic models for a UK plant-hire firm, focusing on telematics, ERP, and IoT data to improve operations and reporting.
Senior Data Engineer builds cloud-native pipelines, AI/ML infrastructure, and APIs for an InsurTech company using AWS, Snowflake, Python, and SQL.
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