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The Senior Data Engineer will build and maintain a modern Azure-based Data Lakehouse to support underwriting analytics and decision-making for a leading insurance organization.
duvo.ai is looking for a senior data engineer to leverage existing data, transforming it into actionable insights and organizational efficiency. This AI-native role requires building both the data foundation and the…
Vortexa is a fast‑growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in…
We’re looking for a Senior Data Engineer to join our team on a 12-month fixed term contract , playing a key role in shaping how data drives decision-making across the business. You’ll be at the heart of building and…
Sovos is building a world-class financial data platform to support a global tax compliance leader. As a Senior Data Engineer, you will own the full pipeline stack from ingestion to close-ready outputs, designing…
Elliott Moss Consulting Pte. Ltd. is seeking a hands-on Snowflake Data Engineer to modernize an enterprise data warehouse into a cloud-native analytics platform on AWS. You will build scalable data pipelines, model…
Retelligence in London is seeking a Senior Data Engineer for a high-impact modernization of a core data platform. This Outside IR35 engagement offers autonomy to evaluate current architecture and implement robust,…
Falcon Smart IT Limited seeks a Senior Data Engineer in London, UK. The role is a 1-year fixed-term contract with a hybrid work model: 2 days per week in client offices and 3 days remotely. You will architect and…
The Data Engineer will design and optimize ETL pipelines, data models, and warehousing solutions within the Azure ecosystem to support business decision-making. The role involves collaborating with cross-functional teams to ensure scalable, secure, and governed data infrastructure.
Lead the end-to-end ownership of IG Group’s GCP data platform, migrating from legacy AWS/on-prem to cloud-native services (BigQuery + Kafka) while improving data quality and self-service access for cross-functional teams.
Data Engineer on a long-term Enterprise Data Platform & Analytics Programme, designing and building data pipelines with Python, SQL, Spark, and AWS in a hybrid setup in Knutsford, UK.
Build production-grade Python data pipelines, design data models, and shape schemas/storage layouts in a senior, startup-like environment on a 3-4 month contract.
Build and maintain production-grade data pipelines for customer data, enabling Customer 360 initiatives in a modern engineering environment.
ESG's Chorley office is seeking an Apprentice Data Engineer to join the Database Administrators team. You will develop and maintain data pipelines, assist with database monitoring, and support data quality…
Anson Mccade is recruiting a Data Engineer for Newcastle upon Tyne, offering a Hybrid (3 days onsite) permanent role. You will design, build and maintain scalable data solutions enabling analytics, AI, and operational…
Maritime and Coastguard Agency is seeking a Senior Data Engineer to lead multi-functional teams delivering robust data services. You will design and build data flow solutions, architect streaming systems and provide…
Builds scalable data pipelines and cloud-based analytics solutions using Snowflake and Azure AI tools, while promoting engineering best practices in a data platform team.
Jobtailor is seeking a Data Warehouse / Data Engineer to lead data architecture efforts in the UK. You will administer Snowflake, build data models using Kimball methods, and develop pipelines that transform disparate…
Leonard Curtis Recovery Limited is seeking a Data Engineer to design, build, and optimise robust data pipelines for enterprise analytics. The role emphasizes ETL/ELT workflows using Microsoft Fabric tools and the…
This role involves building and maintaining AWS data services, pipelines, and cloud architectures as part of a strategic analytics program. The position requires expertise in Python, SQL, Spark, and infrastructure-as-code tools like Terraform or CloudFormation.
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