76 to 100 of 129 Data Warehouse Jobs in the City of London

Snowflake Data Engineer Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V) Transform lives through data and AI Who we are: We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption … while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading … technology providers - such as Databricks, Snowflake and Collibra - delivery is accelerated and revolutionary solutions are co-created. The lives of consultants, clients, and their customers are transformed through data and AI. The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions More ❯

Snowflake Data Engineer Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V) Transform lives through data and AI Who we are: We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption … while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading … technology providers - such as Databricks, Snowflake and Collibra - delivery is accelerated and revolutionary solutions are co-created. The lives of consultants, clients, and their customers are transformed through data and AI. The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions More ❯

Data QA Engineer We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models . This role combines hands-on testing, automation, and close collaboration with engineering and data teams. About the Role You … ll take ownership of quality assurance for data pipelines; you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models. Responsibilities Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models. Implement and maintain automated testing frameworks for data and ML quality assurance Perform thorough manual testing during initial development and complex feature releases Collaborate closely with Data Engineers, Data Scientists, and Product Managers Proactively identify, document, and track bugs and quality issues. Participate in code reviews and provide More ❯

Data QA Engineer We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models . This role combines hands-on testing, automation, and close collaboration with engineering and data teams. About the Role You … ll take ownership of quality assurance for data pipelines; you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models. Responsibilities Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models. Implement and maintain automated testing frameworks for data and ML quality assurance Perform thorough manual testing during initial development and complex feature releases Collaborate closely with Data Engineers, Data Scientists, and Product Managers Proactively identify, document, and track bugs and quality issues. Participate in code reviews and provide More ❯

I am working with a forward-thinking organisation who are undertaking a major digital transformation with data at the heart of its strategy. With a strong focus on cloud technologies, data governance, and scalable architecture they are building intelligent platforms that drive real business impact. As part of their continued investment in data and … technology, they are looking to appoint a Senior Data Architect to lead the design and evolution of their enterprise data ecosystem. This is a strategic, high-impact role where you will work closely with engineering, product and compliance teams to shape the future of data architecture across the organisation. In this role, you will … be responsible for: Designing and implementing scalable, secure, and compliant data solutions across cloud environments. Developing data models and ensuring alignment with architectural standards. Leading the technical direction of the data platform landscape Collaborating with cross-functional teams to deliver robust, high-quality data solutions. Ensuring data governance, integrity and More ❯

I am working with a forward-thinking organisation who are undertaking a major digital transformation with data at the heart of its strategy. With a strong focus on cloud technologies, data governance, and scalable architecture they are building intelligent platforms that drive real business impact. As part of their continued investment in data and … technology, they are looking to appoint a Senior Data Architect to lead the design and evolution of their enterprise data ecosystem. This is a strategic, high-impact role where you will work closely with engineering, product and compliance teams to shape the future of data architecture across the organisation. In this role, you will … be responsible for: Designing and implementing scalable, secure, and compliant data solutions across cloud environments. Developing data models and ensuring alignment with architectural standards. Leading the technical direction of the data platform landscape Collaborating with cross-functional teams to deliver robust, high-quality data solutions. Ensuring data governance, integrity and More ❯

I am working with a global data and AI consultancy that is expanding its Data Management practice and looking to bring on a Data Solutions Architect with deep expertise in Google Cloud Platform (GCP). This is a strategic, client-facing role where you will partner with senior stakeholders to modernise data platforms, accelerate cloud transformation, and drive measurable business outcomes. You’ll join a collaborative environment focused on delivering enterprise-scale data solutions across banking and financial services. With increasing demand for cloud-native architectures and data-driven innovation, this is a fantastic opportunity to lead high-impact engagements and shape future-state data strategies. As part of this role, you will be responsible for: Leading technical solution design and delivery for large-scale data platform projects using GCP and BigQuery Supporting pre-sales engagements by translating client requirements into technical solutions Take ownership of cloud migration and data platform modernization strategies Undertake data modelling tasks More ❯

Enterprise Data Architect – Azure/Snowflake £105K - £110K + + Bonus + Bens London – 1 day PW in office (EC3) As part of a data transformation programme, a major reinsurer is looking for an experienced Enterprise Data Architect to join them in London. The role will focus around helping to shape and scale their … data strategy, building MVP’s and designing Snowflake DWH. What You’ll Do: Design and manage enterprise data architecture using Azure and Snowflake Build and optimize data pipelines, warehouses, and lakes Work with engineering, analytics, and business teams to align on data needs Define best practices for data governance, quality … Help modernize legacy systems and move them to the cloud Stay up to date on new tools, trends, and technologies What We’re Looking For: 7+ years in data architecture or related roles Solid hands-on experience with Azure data services and Snowflake Strong skills in data modeling , SQL , and ETL/ELT design More ❯

Enterprise Data Architect – Azure/Snowflake £105K - £110K + + Bonus + Bens London – 1 day PW in office (EC3) As part of a data transformation programme, a major reinsurer is looking for an experienced Enterprise Data Architect to join them in London. The role will focus around helping to shape and scale their … data strategy, building MVP’s and designing Snowflake DWH. What You’ll Do: Design and manage enterprise data architecture using Azure and Snowflake Build and optimize data pipelines, warehouses, and lakes Work with engineering, analytics, and business teams to align on data needs Define best practices for data governance, quality … Help modernize legacy systems and move them to the cloud Stay up to date on new tools, trends, and technologies What We’re Looking For: 7+ years in data architecture or related roles Solid hands-on experience with Azure data services and Snowflake Strong skills in data modeling , SQL , and ETL/ELT design More ❯

Are you an experienced Data Analyst looking for your next opportunity in the insurance sector? **Insurance industry experience is essential** In this role, you’ll be involved in onboarding new insurance programs, enhancing data integration, and delivering impactful insights through advanced reporting tools. This is a fantastic opportunity to work in a high-performing, collaborative team … environment with the flexibility of a hybrid working model in Central London. Key Responsibilities: Design and implement ETL pipelines for data lakes, data warehouses, ODS, and data marts Collaborate with business and technical teams to onboard new insurance programs Cleanse, profile, and validate large data sets to ensure quality and consistency Develop … and maintain advanced reporting tools to support business insights Contribute to the growth and optimisation of the enterprise data infrastructure Required Experience: Insurance industry experience is essential 5+ years of hands-on ETL experience across data integration architectures Strong expertise in SQL, Azure Data Factory, JSON, XML, and Dataflows Proven experience with data More ❯

Are you an experienced Data Analyst looking for your next opportunity in the insurance sector? **Insurance industry experience is essential** In this role, you’ll be involved in onboarding new insurance programs, enhancing data integration, and delivering impactful insights through advanced reporting tools. This is a fantastic opportunity to work in a high-performing, collaborative team … environment with the flexibility of a hybrid working model in Central London. Key Responsibilities: Design and implement ETL pipelines for data lakes, data warehouses, ODS, and data marts Collaborate with business and technical teams to onboard new insurance programs Cleanse, profile, and validate large data sets to ensure quality and consistency Develop … and maintain advanced reporting tools to support business insights Contribute to the growth and optimisation of the enterprise data infrastructure Required Experience: Insurance industry experience is essential 5+ years of hands-on ETL experience across data integration architectures Strong expertise in SQL, Azure Data Factory, JSON, XML, and Dataflows Proven experience with data More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and … Snowflake, and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and … Snowflake, and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and … Snowflake, and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve More ❯

no-code application solutions, from requirements gathering through to deployment, governance and support * Collaborate with business units to identify automation and digital enablement opportunities, improving operational efficiency and data accuracy * Oversee and manage a small internal team (Business/Data Analyst, Software Developer, HR Systems Engineer) alongside two external managed services * Drive application standardisation across business … to reduce duplication, simplify the portfolio and improve scalability * Manage and govern the SharePoint environment, ensuring effective architecture, permissions and content lifecycle management * Oversee the Snowflake data warehouse, ensuring reliable data integrations, access control and performance monitoring * Own vendor relationships for key managed services including COINS and UKG Time & Attendance, ensuring service performance and alignment … with business priorities * Support M&A activities by leading the migration and integration of applications and associated data, ensuring compliance and business continuity * Establish governance frameworks, standards and best practices for application development and management * Ensure security, scalability and enterprise alignment for all applications and digital workflows * Promote shared frameworks, templates and components across business systems to accelerate More ❯

Senior Product Marketing Manager - Platform at Bloomreach, you support go-to-market activities and collaborate with cross-functional partners to help position and launch product features for our data platform and data partnerships (e.g. Snowflake, Databricks). This role is designed for team members with foundational product marketing skills, with a strong focus on cross-functional … Written Communication Tell the “better together” story for joint solutions, including reference architectures and outcomes. Own the platform & partnerships narrative : craft clear positioning, value propositions, and proof for data buyers (security, governance, scalability). Produce crisp, reusable assets : messaging documents, one-pagers, pitch deck slides, integration briefs—kept current and versioned. 2. Launches & Partner/Alliances Go-To … enablement, and post-launch evaluation. Support partner GTM programs : joint positioning, listings/marketplaces, co-marketing calendars, co-sell motions. 3. Market & Competitive Intelligence Own an insight loop on warehouse-native trends, integration ecosystems, and category competitors; translate findings into roadmap and GTM suggestions. Run targeted win/loss and deal reviews for data-led opportunities; update More ❯

Senior Product Marketing Manager - Platform at Bloomreach, you support go-to-market activities and collaborate with cross-functional partners to help position and launch product features for our data platform and data partnerships (e.g. Snowflake, Databricks). This role is designed for team members with foundational product marketing skills, with a strong focus on cross-functional … Written Communication Tell the “better together” story for joint solutions, including reference architectures and outcomes. Own the platform & partnerships narrative : craft clear positioning, value propositions, and proof for data buyers (security, governance, scalability). Produce crisp, reusable assets : messaging documents, one-pagers, pitch deck slides, integration briefs—kept current and versioned. 2. Launches & Partner/Alliances Go-To … enablement, and post-launch evaluation. Support partner GTM programs : joint positioning, listings/marketplaces, co-marketing calendars, co-sell motions. 3. Market & Competitive Intelligence Own an insight loop on warehouse-native trends, integration ecosystems, and category competitors; translate findings into roadmap and GTM suggestions. Run targeted win/loss and deal reviews for data-led opportunities; update More ❯

these values are upheld only because of our people. Your role As a Confluent Consulting Engineer, you will be responsible for designing, developing, and maintaining scalable real-time data pipelines and integrations using Kafka and Confluent components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions. Required: • Hands-on experience … with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.) • Strong proficiency in Java, Python, or Scala • Solid understanding of event-driven architecture and data streaming patterns • Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure • Familiarity with Docker, Kubernetes, and CI/CD pipelines • Excellent problem-solving and communication abilities Preferred: Candidates … Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center • Hands-on with Confluent Cloud services, including ksqlDB Cloud and Apache Flink • Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC • Confluent certifications (Developer, Administrator, or Flink Developer) • Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes • Knowledge More ❯

these values are upheld only because of our people. Your role As a Confluent Consulting Engineer, you will be responsible for designing, developing, and maintaining scalable real-time data pipelines and integrations using Kafka and Confluent components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions. Required: • Hands-on experience … with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.) • Strong proficiency in Java, Python, or Scala • Solid understanding of event-driven architecture and data streaming patterns • Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure • Familiarity with Docker, Kubernetes, and CI/CD pipelines • Excellent problem-solving and communication abilities Preferred: Candidates … Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center • Hands-on with Confluent Cloud services, including ksqlDB Cloud and Apache Flink • Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC • Confluent certifications (Developer, Administrator, or Flink Developer) • Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes • Knowledge More ❯

document, and translate business requirements into technical specifications. Liaise between business users, developers, and external implementation partners. Manage BAU support for the existing ERP (Microsoft Navision). Prepare data, documentation, and designs for the new ERP (likely NetSuite or another non-Microsoft platform). Create and maintain process documentation and user stories. Required Skills & Experience Strong experience as … middleware (AWS or similar). Comfortable working in hybrid project/BAU environments. Nice to Have Exposure to ERP implementation or migration projects. Familiarity with Google Data Warehouse or cloud data platforms. Understanding of retail supply chain and finance processes. More ❯

document, and translate business requirements into technical specifications. Liaise between business users, developers, and external implementation partners. Manage BAU support for the existing ERP (Microsoft Navision). Prepare data, documentation, and designs for the new ERP (likely NetSuite or another non-Microsoft platform). Create and maintain process documentation and user stories. Required Skills & Experience Strong experience as … middleware (AWS or similar). Comfortable working in hybrid project/BAU environments. Nice to Have Exposure to ERP implementation or migration projects. Familiarity with Google Data Warehouse or cloud data platforms. Understanding of retail supply chain and finance processes. More ❯

partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production … ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern More ❯

partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production … ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern More ❯

track record in designing and creating ETL pipelines to support major customer initiatives at the early stages of projects. This individual will play a critical role in our data engineering team, contributing to the development and maintenance of robust and scalable data solutions. Responsibilities include the following: Responsibilities: Strong Palantir experience is desirable 🌳 ETL Pipeline Design … and Implementation: Design, develop, and implement efficient and scalable ETL pipelines to support the extraction, transformation, and loading of data from diverse sources. Ensure the pipelines are optimized for performance, reliability, and maintainability. 🌳 AWS Expertise: Utilize AWS services for data storage, processing, and analytics. Leverage AWS technologies such as S3, Glue, Redshift, and others to build … and maintain data solutions. Implement best practices for security and compliance in an AWS environment. 🌳 Python Programming: Demonstrate proficiency in Python programming for data processing and manipulation. Develop custom scripts and applications as needed to enhance ETL processes. 🌳 Collaboration and Communication: Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to More ❯

Senior Data Engineer with 5+ years’ experience, and 2+ years in a Hedge Fund and/or in Systematic Trading Technology, sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record. The firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff … tenure. You will join a 5-strong Data Engineering team in a Senior Individual Contributor capacity, working directly with Quant Researchers, Portfolio Managers and Traders, and designing and engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt … KDB+, Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets More ❯