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Designs and maintains AI-ready data pipelines, feature stores, and curated datasets to power machine learning models, generative AI, and real-time analytics using cloud-native tools.
Designs and builds secure, scalable APIs (REST/SOAP) for data exchange, integrates systems with third-party services, and ensures compliance and performance using Azure and Python.
Senior Data Engineer builds and optimizes scalable data pipelines, warehouses, and ML-ready systems in Python and SQL, mentoring junior engineers while ensuring clean, accessible data for analytics and AI.
Senior Data Engineer builds and optimizes scalable data pipelines, warehouses, and ML-ready systems in Python and SQL, mentoring junior engineers and driving data-driven decisions.
Build and maintain cloud data pipelines on AWS/Azure, using Python and SQL to ensure reliable, secure data flows for analytics and insights.
Design and deliver enterprise-scale GCP data platforms for AI and analytics, building secure, scalable pipelines and governance frameworks for government or regulated clients.
Designs and builds scalable Azure-based data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to power analytics and reporting for enterprise clients.
Designs and operates data ingestion and transformation pipelines for an AI-focused platform, ensuring data quality, governance, and security using Spark, Scala, and HDFS.
Design, build, and run data ingestion and transformation pipelines for a financial analytics platform using Spark, Scala, and HDFS while enforcing quality, traceability, and governance.
AT A GLANCE Senior Data Engineer role with Snowflake at the core of the stack Modern data stack Snowflake, dbt, Fivetran and cloud orchestration Hybrid working with flexibility Salary up to £75,000 depending on…
Lead the design and architecture of data pipelines and cloud engineering solutions while setting engineering standards and mentoring teams to enable responsible AI practices at a global life-science company.
Lead Data Scientist building national-scale robotics and AI/ML pipelines on AWS/Databricks, deploying production ML models and transferring expertise to a government team.
Build and maintain scalable data infrastructure and AI-powered analytics platforms for a media company, designing data lakes, pipelines, and customer data products to drive data-driven decisions.
Design and optimize Snowflake-based data architectures, build ETL/ELT pipelines, and mentor junior engineers to ensure reliable, high-performance data solutions.
Build and maintain scalable AWS-based data pipelines and analytics platforms using Python, PySpark, and medallion architecture to power Taylor & Francis’s media and publishing products.
Build and maintain scalable data pipelines and tools for a fintech AI platform, using Python, AWS services, and microservices to support analytics and LLM-driven workflows.
Build and optimize scalable data platforms for trading systems using Java, Python, Kafka, and ETL pipelines to process large-scale financial datasets reliably.
Designs and maintains CI/CD pipelines and container orchestration for robotics systems, focusing on edge hardware like NVIDIA Jetson and ROS2 environments.
Build and maintain scalable data pipelines on Databricks and Azure, using PySpark/Scala and SQL to process manufacturing or energy data for analytics and reporting.
Build and own the data platform for a climate-tech hardware startup, designing a scalable data warehouse, IoT ingestion, and security-hardened cloud infrastructure to optimize greenhouse energy use.
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