26 to 50 of 55 Azure Synapse Analytics Jobs in Central London

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 . You’ll 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 … 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 You’ll Succeed You’re a hands-on technical leader with deep cloud and data engineering expertise. You enjoy mentoring engineers and improving engineering standards. More ❯

/CTO/CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure … leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C … level presentations, and shaping winning solutions. Cloud Knowledge: Proven expertise in Azure, AWS, or GCP, with hands-on experience in cloud-native architecture and modernisation. Banking Domain: Essential knowledge of retail, commercial, or investment banking, including regulatory and finance transformation. Transformation Delivery: Demonstrated success in designing solutions that deliver tangible business change. Leadership & Gravitas: Ability to establish credibility quickly More ❯

Data Engineer – Azure, SQL, Databricks SDS yet to be determined - could be inside or outside Flexible day rate - 3-6 months Location: Hybrid (London-based) Type: Contract Industry: Consultancy We are looking for a skilled Data Engineer to join a fast-paced consultancy delivering data-driven solutions across a range of industries. This role is ideal for someone who … thrives in client-facing environments and enjoys working on varied, impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into … scientists, analysts, and software engineers to deliver end-to-end data solutions. Ensure data security, compliance, and governance standards are met across all projects. Required Skills Strong experience with Azure data services (Data Factory, Synapse, Blob Storage, etc.). Proficiency in SQL for data manipulation, transformation, and performance optimisation. Hands-on experience with Databricks (Spark, Delta Lake, notebooks More ❯

Data Engineer – Azure, SQL, Databricks SDS yet to be determined - could be inside or outside Flexible day rate - 3-6 months Location: Hybrid (London-based) Type: Contract Industry: Consultancy We are looking for a skilled Data Engineer to join a fast-paced consultancy delivering data-driven solutions across a range of industries. This role is ideal for someone who … thrives in client-facing environments and enjoys working on varied, impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into … scientists, analysts, and software engineers to deliver end-to-end data solutions. Ensure data security, compliance, and governance standards are met across all projects. Required Skills Strong experience with Azure data services (Data Factory, Synapse, Blob Storage, etc.). Proficiency in SQL for data manipulation, transformation, and performance optimisation. Hands-on experience with Databricks (Spark, Delta Lake, notebooks 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? We’re looking for a talented professional to join our team and play a key role in designing, developing, and optimising modern data platforms on … Azure Cloud — with a focus on an exciting Microsoft Fabric implementation. What you’ll do Design 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 … 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? We’re looking for a talented professional to join our team and play a key role in designing, developing, and optimising modern data platforms on … Azure Cloud — with a focus on an exciting Microsoft Fabric implementation. What you’ll do Design 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 … 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 ❯

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 ❯

each project’s context. Evaluate emerging tools, technologies, and design patterns to recommend optimal solutions. Guide the design and implementation of data platforms using cloud and hybrid environments (e.g. Azure, AWS). Oversee the design of data pipelines, APIs, and services to ensure efficient data flow and interoperability. Collaborate with Data Engineers and Developers to ensure alignment between architectural …/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across … sector digital standards and GDS practices. Experience in agile and DevOps delivery environments. Prior consultancy or client-facing experience, including pre-sales engagement. Certification in a major cloud platform (Azure Solutions Architect, AWS Certified Data Analytics, etc.). Knowledge of data engineering best practices and testing frameworks. Strong stakeholder engagement and consulting skills, including requirements elicitation and workshop More ❯

each project’s context. Evaluate emerging tools, technologies, and design patterns to recommend optimal solutions. Guide the design and implementation of data platforms using cloud and hybrid environments (e.g. Azure, AWS). Oversee the design of data pipelines, APIs, and services to ensure efficient data flow and interoperability. Collaborate with Data Engineers and Developers to ensure alignment between architectural …/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across … sector digital standards and GDS practices. Experience in agile and DevOps delivery environments. Prior consultancy or client-facing experience, including pre-sales engagement. Certification in a major cloud platform (Azure Solutions Architect, AWS Certified Data Analytics, etc.). Knowledge of data engineering best practices and testing frameworks. Strong stakeholder engagement and consulting skills, including requirements elicitation and workshop More ❯

a BI Fabric Developer/Engineer to help transition its data platforms into their Microsoft Fabric workspace. This is a unique opportunity to work on cutting-edge BI and analytics solutions that drive strategic decision-making across the business. Key Responsibilities Lead the migration of data platforms into Microsoft Fabric for enhanced reporting and stakeholder access. Design and maintain … data pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS. Develop Power BI dashboards and paginated reports tailored to business needs. Model complex datasets into actionable insights using star schemas, snowflakes, and denormalised models. Optimise SQL queries and build semantic models within Fabric. Collaborate with cross-functional teams to translate business requirements into technical solutions. Support CI/… CD deployment processes using Azure DevOps. Required Skills & Experience Strong expertise in Power BI, DAX, SQL, and data architecture. Proven experience with Azure Data Factory, Fabric Lakehouse/Warehouse, and Synapse. Proficiency in PySpark, T-SQL, and data transformation using Notebooks. Familiarity with DevOps, ARM/Bicep templates, and semantic modelling. Experience delivering enterprise-scale BI/data More ❯

a BI Fabric Developer/Engineer to help transition its data platforms into their Microsoft Fabric workspace. This is a unique opportunity to work on cutting-edge BI and analytics solutions that drive strategic decision-making across the business. Key Responsibilities Lead the migration of data platforms into Microsoft Fabric for enhanced reporting and stakeholder access. Design and maintain … data pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS. Develop Power BI dashboards and paginated reports tailored to business needs. Model complex datasets into actionable insights using star schemas, snowflakes, and denormalised models. Optimise SQL queries and build semantic models within Fabric. Collaborate with cross-functional teams to translate business requirements into technical solutions. Support CI/… CD deployment processes using Azure DevOps. Required Skills & Experience Strong expertise in Power BI, DAX, SQL, and data architecture. Proven experience with Azure Data Factory, Fabric Lakehouse/Warehouse, and Synapse. Proficiency in PySpark, T-SQL, and data transformation using Notebooks. Familiarity with DevOps, ARM/Bicep templates, and semantic modelling. Experience delivering enterprise-scale BI/data More ❯

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 using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for … meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation Key Requirements & Technical Experience At least 3 years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning … SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control More ❯

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 using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for … meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation Key Requirements & Technical Experience At least 3 years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning … SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control More ❯

concepts in business terms. Skilled in modelling tools, architecture repositories, and visual communication. Experience in assessing emerging technologies and their impact on enterprise architecture. Desirable Skills Experience with Microsoft Azure technologies (e.g., Data Factory, Synapse, ADLS, Databricks, Power BI). Understanding of enterprise data architecture and analytics platforms. More ❯

concepts in business terms. Skilled in modelling tools, architecture repositories, and visual communication. Experience in assessing emerging technologies and their impact on enterprise architecture. Desirable Skills Experience with Microsoft Azure technologies (e.g., Data Factory, Synapse, ADLS, Databricks, Power BI). Understanding of enterprise data architecture and analytics platforms. More ❯

As a Technical Data and Reporting Manager , you’ll play a key role in building and maintaining the data and analytics capability that underpins technology performance and decision-making at scale. You’ll collaborate with senior stakeholders across multiple business units, developing dashboards, KPIs, and automated reporting processes that deliver meaningful insight and measurable impact. Key Responsibilities: Design, build … and maintain management information, KPIs, and reporting dashboards. Define and align data standards across the organisation. Automate data transformation and reporting to improve efficiency and accuracy. Enable self-service analytics and insight for business stakeholders. Ensure robust governance, data quality, and compliance. About You: Experienced in data analytics and management information reporting. Skilled in Power BI or Tableau … for data visualisation. Strong technical background with Microsoft data platforms (Power Apps, Azure Data Factory, Synapse). Proven stakeholder management and communication skills. Analytical thinker able to translate complex data into clear business insights. This is an opportunity to work with a leading healthcare organisation at the forefront of digital change — helping shape how technology and data drive More ❯

As a Technical Data and Reporting Manager , you’ll play a key role in building and maintaining the data and analytics capability that underpins technology performance and decision-making at scale. You’ll collaborate with senior stakeholders across multiple business units, developing dashboards, KPIs, and automated reporting processes that deliver meaningful insight and measurable impact. Key Responsibilities: Design, build … and maintain management information, KPIs, and reporting dashboards. Define and align data standards across the organisation. Automate data transformation and reporting to improve efficiency and accuracy. Enable self-service analytics and insight for business stakeholders. Ensure robust governance, data quality, and compliance. About You: Experienced in data analytics and management information reporting. Skilled in Power BI or Tableau … for data visualisation. Strong technical background with Microsoft data platforms (Power Apps, Azure Data Factory, Synapse). Proven stakeholder management and communication skills. Analytical thinker able to translate complex data into clear business insights. This is an opportunity to work with a leading healthcare organisation at the forefront of digital change — helping shape how technology and data drive 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 ❯

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 ❯

capabilities — and they’re looking for an experienced ML Ops Engineer to join their growing Data Delivery Team. In this newly created role, you’ll work across AWS and Azure environments , helping scale machine learning and data science projects from concept to production. You’ll play a hands-on role in designing, deploying, and optimizing cloud-based data platforms … drive efficiency and deliver scalable, data-driven solutions. What you’ll bring: Strong ML Ops experience. Proficiency in Python and SQL . Hands-on cloud engineering experience with AWS & Azure (Redshift, Synapse). Familiarity with Terraform, Power BI, and Excel . A proactive, problem-solving mindset with strong collaboration skills. This role offers the chance to work within More ❯

Working in small, agile teams, you’ll: Define and deliver enterprise-level data strategies and architectures. Design frameworks for data modelling, transformation, and governance. Lead on solution design for analytics, AI, and automation initiatives. Collaborate closely with multidisciplinary technical teams and senior stakeholders. Contribute to IP development and innovation across data engineering and insight solutions. What You’ll Bring … Data Architect or similar data-led engineering role. Strong technical capability across data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). Ability to operate confidently in highly secure, mission-focused settings. Why Join More ❯