Role Sr. Technology Architect Technology Data Modelling, ERWIN Modelling, Azure Architect, PySpark Location UK(London) Job Description Data Architect should have key understanding of building Data Models, Experience in Data Architecting and Engineering space on Spark, Pyspark, ADF, AzureSynapse and Data Lake. Your role In the role of a Sr Technology Architect, you will primarily be … application across multiple projects Involve in Discovery/solution planning discussions to define the solution roadmap. Guide the integration of legacy systems with new data pipelines and reporting/Analytics tools Required Should have hands on experience in Information Technology in technical design and architecting solutions. Hand on experience in technology consulting, enterprise and solutions architecture and architectural frameworks … Data Modelling, Experience on ERWIN Modelling. Hands on experience in ADF, Azure Databricks, AzureSynapse, Spark, PySpark, Python/Scala, SQL. Hands on Experience in Designing and building Data Lake from Multiple Source systems/Data Providers. Experience on Data Modelling, architecture, implementation & Testing. Experienced in designing & implementation of End-to-End Data Engineering process using AzureMore ❯
Senior Data Engineer (Azure) 2-3 days on-site - central London up to 75k + 20% Bonus + Excellent Benefits Our client is a leading global Retail/FMCG brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across … and logistics to marketing, customer sales and in-store operations. As part of this journey, they are expanding their Data Engineering team and looking for a Senior Data Engineer (Azure) to help shape and scale the next generation of data products and pipelines. The Role As a Senior Data Engineer, youll play a key role in designing, building, and … for clean, reliable data, and the ability to mentor others in modern data engineering best practices. Key Responsibilities Design, build, and maintain robust, scalable, and efficient data pipelines using Azure Data Factory, Databricks, and related tools. Expand the existing data lake and warehouse to include new domains such as supply chain, marketing, finance, and customer data. Develop and optimise More ❯
Senior Data Engineer (Azure) 2-3 days on-site - central London up to 75k + 20% Bonus + Excellent Benefits Our client is a leading global Retail/FMCG brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across … and logistics to marketing, customer sales and in-store operations. As part of this journey, they are expanding their Data Engineering team and looking for a Senior Data Engineer (Azure) to help shape and scale the next generation of data products and pipelines. The Role As a Senior Data Engineer, youll play a key role in designing, building, and … for clean, reliable data, and the ability to mentor others in modern data engineering best practices. Key Responsibilities Design, build, and maintain robust, scalable, and efficient data pipelines using Azure Data Factory, Databricks, and related tools. Expand the existing data lake and warehouse to include new domains such as supply chain, marketing, finance, and customer data. Develop and optimise More ❯
We are seeking a Senior Data Engineer with strong experience in Cloud data platforms, API integration, and modern data engineering tools to help deliver our Tax & Legal data and analytics strategy. Youll work closely with Lead Engineers, Architects, Product Owners, and BI Developers to design and implement scalable, high-performance data solutions. This is a hands-on engineering role … involving the design, development, and deployment of cloud-based data pipelines, integrations, and analytics-ready datasets. The role requires engaging with a variety of stakeholders in engineering teams and the business to deliver business critical solutions. You will collaborate with Data Architects and Data engineers firm wide to align to best practice and the firms Data management policy. What … will you need to do it? Proven experience working as a data engineer or software engineer working on Cloud data platforms, especially Azure. Strong hands-on experience with Azure Data Factory and Azure Databricks (or Microsoft Fabric). Strong problem-solving skills and the ability to logically analyse complex requirements, processes, and systems to deliver solutions. Solid understanding More ❯
Engineer (Databricks) to support the growth of a global technology provider within the Insurtech space. The role focuses on designing and delivering ETL pipelines and scalable solutions using the Azure ecosystem, with an emphasis on enabling advanced analytics and data-driven decision-making. As a key player in a high-performing data engineering team, you will contribute to … a team that invests in your growth, with comprehensive training and certification programs and a real opportunity to showcase your talents. Key Responsibilities Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data Develop data transformation logic using …/CD deployments, and agile delivery models Requirements 8+ years' experience in data engineering, ETL development and big data solutions Recent experience within Insurance Technology essential Solid expertise with Azure Databricks, Data Factory, ADLS, Synapse, and Azure SQL Strong skills in SQL, Python, and PySpark Solid understanding of DevOps, CI/CD, and Agile methodologies Excellent communication More ❯
Engineer (Databricks) to support the growth of a global technology provider within the Insurtech space. The role focuses on designing and delivering ETL pipelines and scalable solutions using the Azure ecosystem, with an emphasis on enabling advanced analytics and data-driven decision-making. As a key player in a high-performing data engineering team, you will contribute to … a team that invests in your growth, with comprehensive training and certification programs and a real opportunity to showcase your talents. Key Responsibilities Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data Develop data transformation logic using …/CD deployments, and agile delivery models Requirements 8+ years' experience in data engineering, ETL development and big data solutions Recent experience within Insurance Technology essential Solid expertise with Azure Databricks, Data Factory, ADLS, Synapse, and Azure SQL Strong skills in SQL, Python, and PySpark Solid understanding of DevOps, CI/CD, and Agile methodologies Excellent communication More ❯
a highly capable and motivated Data Engineer to join a growing data team. This is a pivotal role, leading the migration of a data infrastructure from AWS to Microsoft Azure and shaping the future of their data platform. This role will play a key role in enabling seamless data integration, transformation, and reporting across diverse sources. This is a … hands on opportunity and perfect for someone who loves innovation, embraces change, and enjoys building robust, future-ready data solutions. Lead the migration of data infrastructure from AWS to Azure, defining the roadmap, proposing scalable Azure-native solutions, and collaborating with the Solution Architect and Head of Data. Design and build data pipelines into Azure (Data Lake … Synapse, Blob Storage, Azure SQL) to ingest structured, semi-structured, and unstructured data from multiple sources and APIs. Develop and optimise ETL/ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and lineage tracking to support analytics and reporting. Modernise and manage databases , ensuring performance optimisation, governance standards, and scalable architecture across regions More ❯
a highly capable and motivated Data Engineer to join a growing data team. This is a pivotal role, leading the migration of a data infrastructure from AWS to Microsoft Azure and shaping the future of their data platform. This role will play a key role in enabling seamless data integration, transformation, and reporting across diverse sources. This is a … hands on opportunity and perfect for someone who loves innovation, embraces change, and enjoys building robust, future-ready data solutions. Lead the migration of data infrastructure from AWS to Azure, defining the roadmap, proposing scalable Azure-native solutions, and collaborating with the Solution Architect and Head of Data. Design and build data pipelines into Azure (Data Lake … Synapse, Blob Storage, Azure SQL) to ingest structured, semi-structured, and unstructured data from multiple sources and APIs. Develop and optimise ETL/ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and lineage tracking to support analytics and reporting. Modernise and manage databases , ensuring performance optimisation, governance standards, and scalable architecture across regions More ❯
About the Role Join the team as a Data Engineering Tech Lead , driving the design and delivery of scalable, cloud-based data platforms on Azure or AWS . Youll lead by example architecting modern ELT pipelines, optimizing data models, and guiding a high-performing engineering team. Key Responsibilities Lead the architecture and development of end-to-end data pipelines … governance. Mentor engineers, perform code reviews , and drive continuous improvement. Collaborate with stakeholders to align solutions with business goals. Implement DevOps/CI-CD pipelines using GitHub Actions and Azure DevOps. Core Skills Cloud Expertise: Azure, AWS, SAP Data Engineering: ELT/ETL, Data Modeling, Data Warehousing Tools & Tech: Azure Data Factory, Databricks, Synapse, Stream Analytics, AWS Glue, Airflow, Kinesis, Redshift, SQL, GitHub, Azure DevOps, SonarQube, PyTest Preferred Experience Leading agile or scrum-based technical teams. Working with financial or planning data. Using documentation tools (e.g., MKDocs ). Why Youll Succeed Youre a hands-on technical leader with deep cloud and data engineering expertise. You enjoy mentoring engineers and improving engineering standards. You thrive More ❯
About the Role Join the team as a Data Engineering Tech Lead , driving the design and delivery of scalable, cloud-based data platforms on Azure or AWS . Youll lead by example architecting modern ELT pipelines, optimizing data models, and guiding a high-performing engineering team. Key Responsibilities Lead the architecture and development of end-to-end data pipelines … governance. Mentor engineers, perform code reviews , and drive continuous improvement. Collaborate with stakeholders to align solutions with business goals. Implement DevOps/CI-CD pipelines using GitHub Actions and Azure DevOps. Core Skills Cloud Expertise: Azure, AWS, SAP Data Engineering: ELT/ETL, Data Modeling, Data Warehousing Tools & Tech: Azure Data Factory, Databricks, Synapse, Stream Analytics, AWS Glue, Airflow, Kinesis, Redshift, SQL, GitHub, Azure DevOps, SonarQube, PyTest Preferred Experience Leading agile or scrum-based technical teams. Working with financial or planning data. Using documentation tools (e.g., MKDocs ). Why Youll Succeed Youre a hands-on technical leader with deep cloud and data engineering expertise. You enjoy mentoring engineers and improving engineering standards. You thrive More ❯
Databricks Architect London Hybrid Up to 125,000 base + bonus & benefits A leading global consulting and analytics firm is seeking a Databricks Architect to drive architecture and delivery of large-scale data solutions for their commercial insurance clients. This is a senior role, shaping data strategy and modernising platforms that underpin underwriting, claims, and pricing. Key Responsibilities Lead … end-to-end architecture and solution design across Databricks and Azure cloud ecosystems. Build scalable lakehouse architectures, advanced analytics, and AI/ML data pipelines. Work closely with insurance stakeholders to translate business needs into technical solutions. Ensure best practices in data governance, security, and regulatory compliance. Provide technical leadership to engineering teams and contribute to architecture standards. …/Solution Architect with strong expertise in Databricks (Delta Lake, MLflow, Spark) . Deep understanding of commercial insurance processes (underwriting, claims, personal/specialty lines). Strong background in Azure (Synapse, Data Factory, Fabric) or similar cloud data platforms. Knowledge of data governance, integration, and architecture frameworks (e.g., TOGAF). Excellent stakeholder engagement and communication skills. More ❯
Databricks Architect London Hybrid Up to 125,000 base + bonus & benefits A leading global consulting and analytics firm is seeking a Databricks Architect to drive architecture and delivery of large-scale data solutions for their commercial insurance clients. This is a senior role, shaping data strategy and modernising platforms that underpin underwriting, claims, and pricing. Key Responsibilities Lead … end-to-end architecture and solution design across Databricks and Azure cloud ecosystems. Build scalable lakehouse architectures, advanced analytics, and AI/ML data pipelines. Work closely with insurance stakeholders to translate business needs into technical solutions. Ensure best practices in data governance, security, and regulatory compliance. Provide technical leadership to engineering teams and contribute to architecture standards. …/Solution Architect with strong expertise in Databricks (Delta Lake, MLflow, Spark) . Deep understanding of commercial insurance processes (underwriting, claims, personal/specialty lines). Strong background in Azure (Synapse, Data Factory, Fabric) or similar cloud data platforms. Knowledge of data governance, integration, and architecture frameworks (e.g., TOGAF). Excellent stakeholder engagement and communication skills. More ❯
Data Engineer Python | SQL | Azure | Microsoft Fabric Location: London Salary: 90,000 + benefits Financial Services Are you a skilled Data Engineer with strong coding expertise and a passion for building scalable data solutions? Were looking for a talented professional to join our team and play a key role in designing, developing, and optimising modern data platforms on Azure … and build robust data pipelines and ETL processes using Python and SQL. Contribute to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform. Work across Azure services (Data Factory, Synapse, Databricks, Data Lake, Functions) to deliver secure and scalable data solutions. Optimise data workflows for performance, reliability, and cost efficiency. Collaborate with analysts, data … as a Data Engineer or similar role. Must have financial services experience Strong Python coding skills and advanced SQL expertise (query optimisation, data modelling). Hands-on experience with Azure data ecosystem (Data Factory, Synapse, Databricks, etc.). Exposure to or keen interest in Microsoft Fabric and its integration into enterprise data strategies. Solid understanding of data architecture More ❯
Data Engineer Python | SQL | Azure | Microsoft Fabric Location: London Salary: 90,000 + benefits Financial Services Are you a skilled Data Engineer with strong coding expertise and a passion for building scalable data solutions? Were looking for a talented professional to join our team and play a key role in designing, developing, and optimising modern data platforms on Azure … and build robust data pipelines and ETL processes using Python and SQL. Contribute to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform. Work across Azure services (Data Factory, Synapse, Databricks, Data Lake, Functions) to deliver secure and scalable data solutions. Optimise data workflows for performance, reliability, and cost efficiency. Collaborate with analysts, data … as a Data Engineer or similar role. Must have financial services experience Strong Python coding skills and advanced SQL expertise (query optimisation, data modelling). Hands-on experience with Azure data ecosystem (Data Factory, Synapse, Databricks, etc.). Exposure to or keen interest in Microsoft Fabric and its integration into enterprise data strategies. Solid understanding of data architecture More ❯
concepts to technical and business audiences alike. Strong stakeholder engagement, documentation, and presentation skills. Ability to anticipate issues, lead resolution, and drive proactive improvement. Desirable Skills Experience with Microsoft Azure data technologies such as: Azure Data Factory, Synapse, Power BI, ADLS, Databricks, Microsoft Fabric Exposure to SAP BI & data platforms such as: HANA, SAP IQ, Business Objects … SAP Analytics Cloud, SAP Data Intelligence Familiarity with enterprise reporting tools (e.g. SSRS) and modern BI toolsets. More ❯
working on a key project to modernise the UK energy market. They are seeking a Data Engineer to join the team and contribute to a cutting-edge platform for analytics and machine learning. They are looking for a skilled data engineer with experience in Databricks, Spark, and Python, who can deliver high-impact data products. This role offers the … opportunity to work alongside an exciting, collaborative team with a clear roadmap for growth and the chance to collaborate across the wider technology teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark More ❯
City of London, Greater London, UK Hybrid / WFH Options
Formula Recruitment
working on a key project to modernise the UK energy market. They are seeking a Data Engineer to join the team and contribute to a cutting-edge platform for analytics and machine learning. They are looking for a skilled data engineer with experience in Databricks, Spark, and Python, who can deliver high-impact data products. This role offers the … opportunity to work alongside an exciting, collaborative team with a clear roadmap for growth and the chance to collaborate across the wider technology teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark More ❯
