11 of 11 Permanent Senior Data Engineer Jobs in the City of London

Senior Data Engineer – Data Science & Engineering | Global Lifestyle Brand Hybrid – UK | London – Up to £75k DOE 12 Month FTC J12995 We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll … out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data Science teams and IT partners to build for the future, not maintain the past. The team is part of a wider customer and insight function, harnessing data and predictive modelling to deliver personalised experiences … across global brands and channels. What you’ll need • Python, SQL , data modelling • Expertise in Snowflake & Snowpark • Immaculate communication to influence and collaborate • Experience building ML environments (MLflow or similar) • CI/CD practices What you’ll do • Design and implement a scalable ML environment with Data Science • Define best practice for deployment, monitoring, and governance • Build pipelines More ❯

Senior Data Engineer – Data Science & Engineering | Global Lifestyle Brand Hybrid – UK | London – Up to £75k DOE 12 Month FTC J12995 We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll … out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data Science teams and IT partners to build for the future, not maintain the past. The team is part of a wider customer and insight function, harnessing data and predictive modelling to deliver personalised experiences … across global brands and channels. What you’ll need • Python, SQL , data modelling • Expertise in Snowflake & Snowpark • Immaculate communication to influence and collaborate • Experience building ML environments (MLflow or similar) • CI/CD practices What you’ll do • Design and implement a scalable ML environment with Data Science • Define best practice for deployment, monitoring, and governance • Build pipelines More ❯

At Sahaj Software, we’re not just shipping pipelines — we’re designing purpose-built data platforms that solve complex challenges for some of the UK’s most forward-thinking organisations. We believe in craftsmanship, autonomy, and trust. No hierarchies, no bureaucracy — just small teams solving big problems with modern tech. Why this role? As a Senior Data Engineer, you’ll own the design and delivery of scalable data platforms, pipelines, and architectures that power real business decisions. You’ll work closely with data scientists, engineers, and stakeholders to transform messy data into clean, reliable, and production-grade systems. This is a hands-on, high-impact role where you’ll influence technical direction … while staying close to the code. Perfect if you want scope for growth without going “post-technical.” What you’ll do Design and build modern data platforms using Databricks, Apache Spark, Snowflake, and cloud-native services (AWS, Azure, or GCP). Develop robust pipelines for real-time and batch data ingestion from diverse and complex sources. Model and More ❯

Senior Data Engineer MUST HAVE SNOWFLAKE Salary - £90-100k with 15% bonus Hybrid working - couple of days in the office City of London We are looking for: Good understanding of data engineering principles A good technical grasp of Snowflake and automating it, and transforming complex datasets AWS Skillset Delivery experience Building solutions in snowflake implementing … data warehousing solutions using Snowflake and AWS Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Enthusiasm for cross-functional work and adaptability beyond traditional data engineering. Examples like building APIs, integrating with microservices, or contributing to backend systems - not just data pipelines or data modelling. Mention on … tools like GitHub Actions, Jenkins, AWS CDK, CloudFormation, Terraform. MUST HAVE SNOWFLAKE, AWS Skills and Experience: Proven experience as a data engineer with strong hands-on programming skills and software engineering fundamentals, with experience building scalable solutions in cloud environments (AWS preferred) Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Solid foundation More ❯

SENIOR DATA ENGINEER PERMANENT CITY OF LONDON £90,000 - £100,000 HYBRID work available - City of London office/Home As a key member of this team, you will play a pivotal role in designing and implementing data warehousing solutions using Snowflake and AWS. You will help drive the evolution of data architecture as we … as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Conducting code reviews, mentoring through pair programming. Building APIs, integrating with microservices, or contributing to backend systems not just data pipelines or data modelling. Tools like GitHub Actions, Jenkins, AWS CDK, CloudFormation, Terraform. Key Responsibilities: Design and implement scalable, secure, and cost-efficient data solutions on AWS … leveraging services such as Glue, Lambda, S3, Redshift, and Step Functions. Lead the development of robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability. Demonstrate proficiency in software engineering principles, contributing to the development of reusable libraries, APIs, and infrastructure-as-code components that support the broader data and analytics ecosystem. Contribute to the evolution More ❯

SENIOR DATA ENGINEER PERMANENT CITY OF LONDON £90,000 - £100,000 HYBRID work available - City of London office/Home As a key member of this team, you will play a pivotal role in designing and implementing data warehousing solutions using Snowflake and AWS. You will help drive the evolution of data architecture as we … as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Conducting code reviews, mentoring through pair programming. Building APIs, integrating with microservices, or contributing to backend systems — not just data pipelines or data modelling. Tools like GitHub Actions, Jenkins, AWS CDK, CloudFormation, Terraform. Key Responsibilities: Design and implement scalable, secure, and cost-efficient data solutions on AWS … leveraging services such as Glue, Lambda, S3, Redshift, and Step Functions. Lead the development of robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability. Demonstrate proficiency in software engineering principles, contributing to the development of reusable libraries, APIs, and infrastructure-as-code components that support the broader data and analytics ecosystem. Contribute to the evolution More ❯

You will join a successful international insurance company who specialise in commercial insurance and reinsurance products. My client is looking for an experienced Senior Data Engineer to play a pivotal role in designing and implementing next-generation data warehousing solutions, with a focus on Snowflake and AWS technologies. This is a fantastic opportunity to shape the … future of data architecture and drive innovation in a dynamic, collaborative environment. Main Responsibilities: Lead the modernisation journey to Snowflake-based data warehousing solutions within an AWS environment. Design and implement scalable, secure, and cost-efficient data solutions using AWS services such as Glue, Lambda, S3, Redshift, and Step Functions. Develop robust data pipelines and analytics … platforms, ensuring high availability, performance, and maintainability. Drive automation and CI/CD practices for data workflows, ensuring reliable deployment and monitoring. Mentor and support team members through code reviews, pair programming, and knowledge sharing. Collaborate with stakeholders, product owners, and developers to ensure alignment between requirements and data solutions. Benefits: Hybrid working (approximately 2 days a week More ❯

Senior Data Analytics Engineer - London | Transform data into strategic advantage at one of the world's leading Investment firms Are you ready to shape the future of data analytics? Join a globally recognised investment firm, managing billions in capital commitments and pioneering innovative liquidity solutions. The Opportunity Step into a dynamic role within the Data … making across our multi-billion-dollar funds. What makes this role exceptional: Collaborative, entrepreneurial environment with a proven track record of career development Significant impact on business strategy through data-driven insights Part of a strong, mutually supportive team in a non-hierarchical structure Key Responsibilities Solution Design & Project Management Lead as a Databricks technical expert, driving process improvement … and automation Partner with business domain expert to understand their data requirements and design fit-for-purpose data products to solve complex challenges Design scalable data solutions supporting ambitious growth plans Data Intelligence & Visualisation Create compelling visualisations and interactive dashboards using QlikSense Drive data literacy initiatives across the organization Present insights that inform senior More ❯

SQL, ETL, Azure Senior Data Engineer is required to join a forward-thinking data team within a thriving City based insurance group. This role will see you playing a critical role in delivering reliable, scalable and business-focused data solutions. With a strong focus on Microsoft technologies and cloud-based tools, you'll work directly … making through data. The ideal candidate here will have a strong background in insurance MI or reporting-experience within an MGA or insurance carrier is essential. Key Responsibilities Deliver data solutions and changes that support evolving business requirements. Build and maintain robust, scalable data pipelines using SQL and ETL best practices. Collaborate with stakeholders to analyse, define and … implement solutions to complex data challenges. Proactively assess the impact of changes on the broader data model and ensure integrity is maintained. Work alongside the MI/reporting team to ensure data is accurately reflected in dashboards and reporting tools. Consult with business analysts, system owners and architects to align technical delivery with strategic objectives. Build deep More ❯

Job title: Data Engineer Client: Award Winning FinTech Firm Rate: Up to £725 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw … data into trusted, usable assets - the foundation for everything from executive dashboards to product innovation. Own the data flow from ingestion to insight - using modern tools like Python, Azure, and Databricks. What you need: 7+ years of hands-on experience in data engineering roles. Advanced skills in Python for data pipelines, transformation, and orchestration. Deep understanding … of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.) Proficiency in Databricks (or strong equivalent experience with Apache Spark ). Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the right fit - contact me directly at bbirch@hunterbond.com More ❯

Job title: Data Engineer Client: Award Winning FinTech Firm Rate: Up to £725 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw … data into trusted, usable assets - the foundation for everything from executive dashboards to product innovation. Own the data flow from ingestion to insight - using modern tools like Python, Azure, and Databricks. What you need: 7+ years of hands-on experience in data engineering roles. Advanced skills in Python for data pipelines, transformation, and orchestration. Deep understanding … of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.) Proficiency in Databricks (or strong equivalent experience with Apache Spark ). Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the right fit - contact me directly at bbirch@hunterbond.com More ❯