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Build and maintain cloud data pipelines on AWS, transform data in Snowflake with dbt and PySpark, and deliver analytics for regulated industries like banking and healthcare.
Principal Data Engineer leads cloud-based data pipelines, sets engineering standards, and mentors teams using SQL, Snowflake, AWS, and DBT to ensure secure, scalable data products.
Build and optimize multi-cloud data infrastructure for a digital bank, enabling analysts and ML teams with efficient pipelines and tooling across AWS and GCP.
Build and maintain scalable data pipelines and AI-driven systems for an ethical ad-tech platform, integrating ML models into production while ensuring data quality and security.
Builds and maintains a Java-based systematic trading platform handling data, signals, portfolio management, and execution for a quantitative trading firm.
Design and build scalable Azure data pipelines, migrate legacy systems to the cloud, and optimize ETL/ELT processes using Databricks, PySpark, and Azure Data Factory.
Build and maintain scalable data pipelines and cloud infrastructure on Google Cloud, ensuring data quality and enabling analytics for clients.
Staff Data Engineer designs and reviews low-level data platform architectures in Azure/Databricks, ensuring scalable, secure, and maintainable solutions for Severn Trent’s data pipelines and governance.
Senior Data Engineer builds cloud-native pipelines, AI/ML infrastructure, and APIs for an InsurTech company using AWS, Snowflake, Python, and SQL.
Build and maintain blockchain data infrastructure for a crypto trading client using Python, Spark, and AWS to power decentralized finance systems.
Build AI-driven marketing automation solutions using Google Cloud Platform and Google Marketing Platform, designing ML pipelines and optimizing campaigns.
Senior Data Engineering Consultant builds and optimizes data pipelines using PySpark and Databricks, delivers Power BI dashboards, and advises clients on cloud data solutions across Azure, AWS, and GCP.
Principal Data Engineer designs scalable cloud-native data platforms and leads technical direction for Very’s data transformation, using AWS, Python, and SQL.
Data engineering consultant designs, builds, and optimizes data pipelines and analytics solutions using Databricks, PySpark, and Power BI for enterprise clients.
Lead AI Data Engineer builds and optimizes RAG pipelines, fine-tunes LLMs, and designs secure data ingestion systems for a proptech company serving insurance and banking clients.
Lead a data engineering team to build and scale secure, high-integrity pipelines and warehouses using Python, Airflow, Databricks, and AWS, while enforcing governance and quality standards.
Design and build cloud-native data pipelines using Azure Databricks, SQL, Python, and Delta Lake for large-scale analytics and warehousing.
Build a greenfield data platform for a supply-chain consultancy, designing scalable ingestion pipelines and transformations to replace manual spreadsheets and enable analytics.
Senior Consultant designs and delivers modern data platforms using Microsoft Fabric, Azure Databricks, and Power BI, leading client engagements to turn data into business insights.
Principal AI Data Engineer builds and deploys GenAI/AgenticAI systems on Azure and Databricks, focusing on RAG, AI agents, and scalable workflows.
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