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Designs and maintains scalable data pipelines to produce AI-ready datasets and analytics for RELX’s Global Operations Metrics & Technology team using SQL and automation.
Design and maintain data pipelines for digital and media analytics using GCP, Snowflake, and Matillion to feed Amplitude and Tableau dashboards.
Leads design and maintenance of scalable data pipelines and ETL processes for UK clients, using Python, Spark, SQL, and cloud platforms to ensure reliable, high-performance data infrastructure.
Design and optimize cloud-scale data platforms, building ingestion pipelines, ETL/ELT solutions, and scalable data stores for analytics and ML workloads.
Senior Data Scientist to design Azure data pipelines, build ML models, and implement MLOps for enterprise-scale analytics and AI solutions in a 12-month contract.
Design and optimize Databricks-based ETL/ELT pipelines and streaming systems using PySpark, Delta Lake, and cloud stacks to deliver scalable, secure data solutions for enterprise clients.
Design and optimize data pipelines using Python and Databricks for a talent-matching platform, collaborating with technical and business teams.
Designs and maintains ETL pipelines, data warehouses, and BI dashboards to support financial reporting and analytics for a fintech company.
Design and lead the architecture of a governed self-service data platform for a global retail enterprise using Microsoft Fabric and Azure services.
Build and automate a modern enterprise data platform using Microsoft Fabric and Power BI, focusing on CI/CD, reliability, and governed self-service analytics.
Designs and maintains a scalable Azure and Databricks data platform for analytics and AI, using Terraform and CI/CD to ensure reliability and governance.
Build and maintain cloud-based data pipelines and ML infrastructure using Kafka, dbt/SQL, and Python to turn sports-betting data into insights for business decisions.
Designs, automates, and operates Azure-based data platforms for enterprise analytics and AI, focusing on secure, scalable infrastructure using IaC and CI/CD.
Build and maintain data infrastructure (pipelines, warehouses) in Python and cloud platforms (BigQuery/Redshift, AWS) to power apps, devices, and sales with reliability and cost efficiency.
Build and maintain the data infrastructure that powers connected-watch platforms for brands like Jaguar and Lotus, focusing on pipelines, warehousing, and cost-efficient cloud systems.
Build and enhance enterprise data platforms using PySpark, SparkSQL, and Azure for investment data processing and analytics.
Design, build, and optimize an enterprise data warehouse using Snowflake, DBT, and AWS to support business intelligence initiatives.
Senior Snowflake data engineer builds and optimizes data pipelines and models for enterprise clients using dbt and Snowflake.
Lead AI and data engineering initiatives, oversee enterprise engagements, and drive technical delivery for a data/AI-focused product company.
Designs and implements secure data and cloud solutions using Microsoft Fabric and Azure for client projects, focusing on scalable architectures, Lakehouse patterns, and Power BI models.
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