251 to 275 of 1,515 Permanent Data Integration Jobs

Senior Data Engineer Consultant This leading Data & Insights Consultancy have a great pipeline of projects and are now seeking a Senior Data Engineer Consultant to join their consulting team. In this client facinf role you will get the opportunity to apply your hands-on data engineering skills across a wide variety of challenging projects, and deliver … value-adding data and analytics solutions that make a true business impact. Role & Responsibilities As a Senior Data Engineer Consultant you will utilise your functional and hands-on technical data engineering skills to implement end-to-end reporting, analytics and data solutions for a variety of different customers, from large enterprises to small start-ups. You … deliveries; gathering requirements, understanding business problems, designing and building solutions, reporting and analysis through to go-live and training. You will have plenty of opportunity to flex your broad data skills to help design and deliver solution, and you will have the opportunity to witness the change and impact your work has on the end client. Responsibilities will include More ❯

We're Hiring: AWS Data Engineer Location: London (2-3 days in office) Experience : 2+ Years Degree: STEM/Business Rate: £225 to 245 a day Umbrella Duration : 6 months contract We're looking for a Data Engineer to help power our innovation engine. You’ll design data models, build scalable ETL pipelines, codify business logic, and … drive data integration across complex systems—structured and unstructured alike. This is your chance to turn raw data into real business value using cutting-edge tech in a collaborative, forward-thinking team. What You’ll Do: Design & implement data models and scalable ETL/ELT pipelines Map data sources, codify business logic, and build data flows Develop data quality solutions & explore new technologies Collaborate with analysts, developers, and business stakeholders What You Bring: 2+ years in data engineering or related roles Bachelor’s in CS, Engineering, Mathematics, Finance, etc. Proficiency in Python, SQL , and one or more: R, Java, Scala Experience with relational/NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with big More ❯

We're Hiring: AWS Data Engineer Location: London (2-3 days in office) Experience : 2+ Years Degree: STEM/Business Rate: £225 to 245 a day Umbrella Duration : 6 months contract We're looking for a Data Engineer to help power our innovation engine. You’ll design data models, build scalable ETL pipelines, codify business logic, and … drive data integration across complex systems—structured and unstructured alike. This is your chance to turn raw data into real business value using cutting-edge tech in a collaborative, forward-thinking team. What You’ll Do: Design & implement data models and scalable ETL/ELT pipelines Map data sources, codify business logic, and build data flows Develop data quality solutions & explore new technologies Collaborate with analysts, developers, and business stakeholders What You Bring: 2+ years in data engineering or related roles Bachelor’s in CS, Engineering, Mathematics, Finance, etc. Proficiency in Python, SQL , and one or more: R, Java, Scala Experience with relational/NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with big More ❯

Job summary Are you passionate about transforming complex data into meaningful insights that shape strategic decisions? We are looking for a Data Analyst/BI Specialist to join our Finance Data Governance and Management Team - a pivotal role focused on enhancing data quality, integration, and informed decision-making across the organisation. In this role, you … will conduct in-depth analysis of financial and operational data to identify trends, support performance monitoring, and drive improvement initiatives. You will work with tools such as SQL, Power BI, and Microsoft Azure cloud services to build dashboards and reports, analyse data flows, and help diagnose and resolve data quality issues across interconnected systems. You will also … play a key role in ensuring data governance standards are met, collaborating with teams across Finance, IT, HR, and Digital to promote data integrity and seamless integration. If you're motivated by curiosity, collaboration, and the opportunity to have real impact, this is your chance to help shape data-informed decision-making across the organisation. Main duties More ❯

of 282 officially designated Posts. Our UK-based staff work in King Charles Street, London, Abercrombie House in East Kilbride and in Milton Keynes. These roles contribute to FCDOs Data Strategy to improve insights to the business by provisioning it with reliable and trustworthy data sources and improving their delivery in a secure manner in compliance with Data … regulations. The team is primarily Azure focused but other Cloud technologies such as Oracle and Amazon Web Services (AWS) are used in FCDO. The successful candidates will build complex data pipelines (both Extract Transform and Load {ETL} and Extract Load and Transform {ELT}) in the Azure cloud platforms. You will work with structured and unstructured data, data lakes, data warehouses to service operational and analytical business needs. Job description The successful candidates will: Work collaboratively with Enterprise Data Colleagues to develop pipelines and data product that aligns with data architecture and engineering best practice. Develop data assets and products that assist Power Business Intelligence (BI) colleagues to deliver reporting products to More ❯

DailyPay is headquartered in New York City, with operations throughout the United States as well as in Belfast. For more information, visitDailyPay's Press Center. The Role: The Staff Data Architect Engineer will work with software developers, database architects, data analysts and data scientists on various data initiatives and will ensure that our data architecture … do not meet all of the qualifications. How You Will Make an Impact: Ability to interface with product and cross functional teams to align on design and implementation for integration with various data sources, data analytics and data science initiatives, transforming business goals into data infrastructure Comfortable with designing the database, data models, data processes, and data warehouse applications using best practices and tools Ability to manage the full spectrum of data lifecycle activities, ensuring optimal data quality, storage, and utilization aligned with strategic goals Ability to oversee design and refine the organizational data framework, ensuring robust, scalable, and efficient data structures and integrations in AWS and other More ❯

company operates in both B2B and D2C markets, providing food solutions to institutions and individuals. With over 30 years of experience and a presence in 400 markets, it leverages data-driven insights, forensic analytics, and predictive modelling to enhance business performance. The Role The team is responsible for making data reliable, consistent, persistent, and available for analysts through … self-service platforms such as Tableau, Power BI, and SSRS. Within the team, this role will focus on data infrastructure management to ensure system reliability and availability. The day to day will include: Ensuring system availability and reliability to support business operations. Leading internal development projects to enhance infrastructure and free up resources for strategic improvements. Analysing data to understand differences, ensuring accuracy, and improving data validation processes. Handling data quality and migration projects to enhance system performance and integrity. Supporting the deployment of machine learning models using Databricks and PySpark. Managing and optimising cross-functional ETL processes across 80 databases daily. Working within a secure private cloud environment that includes Azure, SQL 2016, and More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their … each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics. Optimising pipelines, frameworks More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their … each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics. Optimising pipelines, frameworks More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their … each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics. Optimising pipelines, frameworks More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their … each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics. Optimising pipelines, frameworks More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their … each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics. Optimising pipelines, frameworks More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their … each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics. Optimising pipelines, frameworks More ❯

Social network you want to login/join with: AWS Data Engineer, london (city of london) col-narrow-left Client: Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 26.06.2025 Expiry Date: 10.08.2025 col-wide Job Description: Location: London (2-3 days in office) Experience : 2+ … Years Degree: STEM/Business Duration : 6 months contract We're looking for a Data Engineer to help power our innovation engine. You’ll design data models, build scalable ETL pipelines, codify business logic, and drive data integration across complex systems—structured and unstructured alike. This is your chance to turn raw data into real … business value using cutting-edge tech in a collaborative, forward-thinking team. What You’ll Do: Design & implement data models and scalable ETL/ELT pipelines Map data sources, codify business logic, and build data flows Develop data quality solutions & explore new technologies Collaborate with analysts, developers, and business stakeholders What You Bring: 2+ years in More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their … each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics. Optimising pipelines, frameworks More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their … each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics. Optimising pipelines, frameworks More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their … each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics. Optimising pipelines, frameworks More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their … each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics. Optimising pipelines, frameworks More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their … each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics. Optimising pipelines, frameworks More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their … each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics. Optimising pipelines, frameworks More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their … each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics. Optimising pipelines, frameworks More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their … each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics. Optimising pipelines, frameworks More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their … each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics. Optimising pipelines, frameworks More ❯

Data Architect - Investment Firm, London A global Investment firm is embarking on a major enterprise-wide modernisation programme — and we’re looking for a talented Data Architect to help shape the future of its data landscape. This high-priority initiative will see the organisation move from complex legacy systems to a modern, cloud-based environment , leveraging the … power of Azure, Python, and Databricks . You will be central to designing the data architecture that underpins this transformation, ensuring data is scalable, secure, and built for both operational agility and strategic insight. What You’ll Be Doing: Design and implement robust, scalable data architecture on the Microsoft Azure cloud platform. Lead the adoption of Databricks … and cloud-native tools to modernise legacy systems. Define data standards, domains, and governance frameworks to support business-critical functions like trading, risk, operations, and regulatory reporting. Build both real-time and batch data pipelines to support fast, data-driven decision-making. Model enterprise data structures and ensure alignment across systems and teams. Document metadata, lineage More ❯

wide Job Description: Location: Remote (United Kingdom) About The Company: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and … each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics. Optimising pipelines, frameworks More ❯