101 to 125 of 172 Azure Synapse Analytics Jobs in the UK

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 - 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 ❯

our clients businesses and to your career. The AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. Your key responsibilities Work as part of a delivery team on complex Data Transformation programs, primarily focusing on data modelling, with additional roles likely to include … best practices, tools, and automation to increase model reuse, version control, and deployment efficiency. Lead the design, development, and optimization of conceptual, logical, and physical data models to support analytics, reporting, machine learning, and transactional use cases. Collaborate with data engineering and architecture teams to ensure models are performance-optimized and aligned with storage, compute, and pipeline strategies. Manage … data products delivery Strong experience with data modeling tools such as Erwin, ER/Studio, SqlDBM or SQL DB-native modelling tools. Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, GCP BigQuery) and modern data storage solutions. Strong SQL skills and good knowledge of data warehousing, lakehouses, and OLTP/OLAP systems. Demonstratable interest and awareness 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 ❯

Head of Data Engineering - Azure & Databricks - Hybrid - Up to £100,000 A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital … with flexibility around location. Key Responsibilities: Lead and mentor a team of data engineers, fostering a culture of innovation and excellence. Architect and implement scalable data solutions using the Azure tech stack and Databricks. Collaborate with cross-functional teams to align data initiatives with business goals. Maintain hands-on involvement in technical delivery where needed, ensuring best practices are … followed. Requirements: Proven experience in leading data engineering teams. Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks. Comfortable balancing strategic leadership with occasional hands-on technical work. Excellent stakeholder management and communication skills. What's on Offer: Competitive salary up to £100,000. Hybrid working model - 2 days in-office per More ❯

a hybrid working basis Working hours: 37.5 hours per week, Monday to Friday, 9am to 5:30pm What you will be doing: Design and maintain robust database solutions across Azure VM and cloud environments Develop and support MI and DWH systems using Azure Synapse/Sharedo and related tools Enforce best practices in SQL development and source … data security, access control, and audit compliance Collaborate across departments to deliver and support production systems What we are looking for: Strong expertise in SQL Server Management Studio, SSIS, Azure Data Factory, Visual Studio Solid experience with DWH, SSRS, Power BI, Git repositories Proven ability to manage secure, high-performance database environments Excellent communication and cross-functional collaboration skills More ❯

Role Overview: BW: Workplace Experts, a leading fit-out construction company based in Central London, is seeking a Data & Analytics Engineer to continue our journey towards leading the construction industry with data driven intelligent decisions. You will own the architecture, governance, and optimisation of BW’s Microsoft Fabric environment, design and deliver enterprise grade Power BI dashboards, and play … accuracy, consistency, and compliance across all systems. Partner with IT, operations, and commercial teams to drive adoption of data-driven decision-making. Mentor and support junior members of the analytics team, fostering technical excellence and collaboration. Champion best practices in data architecture, visualisation, and automation. Essential Skills: Proven experience architecting and supporting solutions within Microsoft Fabric (including Data Factory … Synapse, and OneLake). Advanced proficiency in Power BI, including DAX, Power Query (M), and data modelling. Deep understanding of data warehousing, ETL, and data lakehouse concepts. Strong working knowledge of Databricks, including Delta Lake and notebooks. Strong interpersonal skills with the ability to influence and communicate complex data topics clearly. Excellent analytical, organisational, and problem-solving abilities. Experience More ❯

Role Overview: BW: Workplace Experts, a leading fit-out construction company based in Central London, is seeking a Data & Analytics Engineer to continue our journey towards leading the construction industry with data driven intelligent decisions. You will own the architecture, governance, and optimisation of BW's Microsoft Fabric environment, design and deliver enterprise grade Power BI dashboards, and play … accuracy, consistency, and compliance across all systems. Partner with IT, operations, and commercial teams to drive adoption of data-driven decision-making. Mentor and support junior members of the analytics team, fostering technical excellence and collaboration. Champion best practices in data architecture, visualisation, and automation. Essential Skills: Proven experience architecting and supporting solutions within Microsoft Fabric (including Data Factory … Synapse, and OneLake). Advanced proficiency in Power BI, including DAX, Power Query (M), and data modelling. Deep understanding of data warehousing, ETL, and data lakehouse concepts. Strong working knowledge of Databricks, including Delta Lake and notebooks. Strong interpersonal skills with the ability to influence and communicate complex data topics clearly. Excellent analytical, organisational, and problem-solving abilities. Experience More ❯

DBT Data Engineer (Snowflake, Azure) | Insurance | London (Hybrid) Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting firm in sourcing an experienced DBT Data Engineer to join a major insurance client engagement . The role focuses on scaling a Snowflake Data Warehouse and expanding its DBT Cloud modelling capabilities to support new analytics … security, time travel, performance tuning). Familiarity with Snowflake cost monitoring, governance, replication , and environment management. Strong understanding of data modelling (star/snowflake schemas, SCDs, lineage). Proven Azure experience (Data Factory, Synapse, Databricks) for orchestration and integration. Proficient in SQL for complex analytical transformations and optimisations. Comfortable working in agile teams and using Azure DevOps More ❯

Remote Working (+ occasional site visits) The Opportunity ISR are supporting a major UK Government Agency seeking an experienced Data Scientist to help shape and expand their data and analytics capabilities. You’ll play a key role in designing and delivering advanced data models, integrating new sources of information and applying modern AI and machine learning techniques to solve … real-world challenges. This role is ideal for someone who thrives at the intersection of data science, analytics, and public sector transformation, helping to deliver better outcomes for the general public through data-driven insights. NB: Candidates must be eligible for BPSS security clearance which will be processed following successful interviews (normally takes between 7 and 14 days). … Skills and Experience Proven experience in data science and analytics, ideally within government or regulated sectors. Strong proficiency in Python (and/or R) with deep understanding of statistical modelling and machine learning. Experience with Azure Machine Learning (AML), Azure Data Factory, and the broader Azure data ecosystem (Data Lake, Synapse, Analysis Services). Expertise More ❯

test, and deploy automated data workflows and orchestration using tools such as Airflow, DBT, or similar frameworks. Build, maintain, and enhance data models and semantic layers to support BI, analytics, and AI initiatives. Collaborate with analysts and business teams to develop and evolve dashboards and reports, enabling clear, actionable insight. Contribute to the solution design and architecture of new … for building and optimising complex queries. Hands-on experience with cloud data platforms, ideally Google Cloud Platform (BigQuery, Cloud Storage, Cloud Functions) or equivalents such as AWS Redshift or Azure Synapse. Practical experience using modern data tooling such as DBT, Airflow, or Prefect for orchestration, transformation, and workflow automation. Experience designing and maintaining data models and schemas to support … reporting, analytics, and machine learning workloads. Familiarity with data integration from APIs and third-party systems, and strong awareness of data quality, validation, and governance best practices. Understanding of version control (Git) and continuous integration/deployment (CI/CD) workflows. Awareness of AI and machine learning workflows, including data preparation for model training and production use (e.g. Vertex More ❯

financial services group is on the lookout for a Head of Data Engineering to lead their data platform transformation – a critical migration from legacy systems (SQL Server) to modern Azure cloud technologies. You’ll oversee a 40-person team of engineers (across the UK and offshore), guide delivery of critical regulatory and treasury projects, and work closely with senior … someone who thrives in both strategy and delivery. Ideal Candidate: Proven leadership of large data engineering teams (UK and offshore) Deep expertise in SQL Server, and experience migrating to Azure cloud Experience managing third-party partners/vendors Ability to stay hands-on to mentor teams on technical delivery Background in the banking/financial services sector Strategic mindset … with a delivery-focused leadership style Tech Environment: Azure Data Stack (Synapse, Databricks, Azure SQL, Power BI) SQL, Python Legacy systems primarily in SQL Server Interview Process: Initial 30-minute informal converdation 60-minute technical/competency interview with Engineering Managers Final 90 minute session with senior leadership (CDO, CTO, CIO) All applicants will undergo standard pre More ❯

financial services group is on the lookout for a Head of Data Engineering to lead their data platform transformation - a critical migration from legacy systems (SQL Server) to modern Azure cloud technologies. You'll oversee a 40-person team of engineers (across the UK and offshore), guide delivery of critical regulatory and treasury projects, and work closely with senior … someone who thrives in both strategy and delivery. Ideal Candidate: Proven leadership of large data engineering teams (UK and offshore) Deep expertise in SQL Server, and experience migrating to Azure cloud Experience managing third-party partners/vendors Ability to stay hands-on to mentor teams on technical delivery Background in the banking/financial services sector Strategic mindset … with a delivery-focused leadership style Tech Environment: Azure Data Stack (Synapse, Databricks, Azure SQL, Power BI) SQL, Python Legacy systems primarily in SQL Server Interview Process: Initial 30-minute informal converdation 60-minute technical/competency interview with Engineering Managers Final 90 minute session with senior leadership (CDO, CTO, CIO) All applicants will undergo standard pre More ❯

Data Scientist Location: Hybrid (Greater Bristol Area) Salary: £54,000 Python - PySpark - Azure - Pandas - Scikit-learn - TensorFlow - PyStats - Data Science - Power BI We're supporting a growing, forward-thinking organisation in their search for an experienced Data Specialist. This is an exciting opportunity to join a dynamic team at a pivotal point in its growth, helping shape data strategy … deliver insightful analytics, and drive intelligent decision-making across the business. You'll work closely with stakeholders to uncover challenges, identify opportunities, and deliver actionable, measurable solutions through advanced machine learning models, statistical methods, and high-performance data pipelines. Skills & Experience Required To be considered, you will need: Strong proficiency in Python and key libraries (pandas, scikit-learn, TensorFlow … PyStats). A solid understanding of machine learning techniques and real-world performance trade-offs. Experience building and maintaining end-to-end machine learning applications. Hands-on experience with Azure cloud technologies: Synapse, Fabric, AzureML, ADX, ADF, Azure Data Lake Storage, Event Hubs. Experience with visualisation tools such as Power BI and Streamlit. Familiarity with Parquet and More ❯

on role in building and optimising data services across both modern and legacy platforms. Key responsibilities include: Developing, maintaining, and optimising data pipelines and ELT processes using Microsoft Fabric, Azure Data Factory, Synapse, Purview, and Power BI. Designing and implementing scalable and reliable data platform solutions aligned with the organisation’s data strategy. Supporting the migration of critical … and contributing to a culture of innovation, collaboration, and continuous improvement. What We’re Looking For: Strong proficiency in Microsoft data services, with hands-on experience using Microsoft Fabric, Azure Data Factory, Synapse, Power BI, Purview, SQL, Pyhton. Proven track record in designing, building, and optimising data pipelines and integration solutions within cloud or enterprise environments. Excellent communication More ❯

years in a technical lead role. Strong expertise in Databricks , PySpark , and Delta Lake . DBT Advanced proficiency in SQL, ETL/ELT pipelines, and data modelling. Experience with Azure Data Services (ADLS, ADF, Synapse) or other major cloud platforms (AWS/GCP). Strong knowledge of data warehousing , transformation logic , SLAs, and dependencies. Hands-on experience with … workflows. Knowledge of data security, encryption, and compliance frameworks (GDPR, SOC2, ISO ).good to have Excellent problem-solving skills, leadership ability, and communication skills. ________________________________________ Preferred Qualifications Certifications in Databricks, Azure good to have Experience with DBT , APIs, or ( BI integrations (Qlik, Power BI, Tableau).- good to have 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 ❯

/ELT pipelines, streaming) across SaaS platforms, in-house systems and external data sources. Strategic Leadership Build the vision for a modern, cloud-based data platform (e.g. Microsoft Fabric, Synapse, Databricks, Snowflake), enabling real-time analytics, AI/ML and self-serve BI. Define and deliver the enterprise data strategy, aligned with business and regulatory priorities. Act as … Proven experience in a senior data leadership role (Head of Data, Data Architect, Data Engineering Manager) within a regulated financial services. Deep expertise in enterprise data architecture, cloud platforms (Azure preferred), and modern data warehousing/lakehouse technologies. Strong knowledge of data governance, GDPR, and FCA regulatory requirements. Hands-on technical ability across SQL, Python, ETL/ELT, APIs … and cloud-native data services. Experience introducing AI/ML and advanced analytics capabilities into operational and decisioning contexts. Strong stakeholder management skills, able to translate technical concepts into business value for executives and non-technical teams. Track record of leading small, high-performing data teams and managing external partners. More ❯

Purview Implementation Specialist – Azure - Inside IR35 The client is seeking a Purview Implementation Specialist to deliver the setup and integration of Microsoft Purview within their Azure data environment. The role focuses on metadata management, lineage tracking, and data quality enablement to support enterprise data governance and compliance.Key Responsibilities Configure and manage Microsoft Purview for metadata, lineage, and classification. … Connect Purview to Azure and on-prem data sources (Data Lake, Synapse, SQL, Power BI, ADF). Implement and automate data quality rules, profiling, and dashboards. Enable and maintain metadata, glossary, and classification structures. Integrate Purview with ADF, Synapse, and Power BI for full data lineage. Automate configuration and scanning via PowerShell, ARM/Bicep, or Azure … access in line with governance and privacy policies. Produce technical documentation and handover materials for internal teams. Skills & Experience Strong hands-on experience with Microsoft Purview implementation. Proficient in Azure data services – ADF, Synapse, SQL, Data Lake, Power BI. Good understanding of data governance, metadata, and data quality principles. Experience with automation scripting (PowerShell, ARM, Azure CLI More ❯

seeking a BI Fabric Developer/Engineer to help transition its data platforms into 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 ❯

Active - Enhanced DV Required* We’re looking for an experienced Data Architect with a strong background in designing and delivering modern data solutions to support advanced analytics and AI-driven initiatives. Key Responsibilities & Experience: Proven expertise in data architecture , including data modelling , analysis , transformation , migration , metadata , and master data management . Track record of delivering data analytics and … AI/ML-enabling solutions across complex environments. Hands-on experience with cloud data platforms , ideally AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR). Experience with Azure technologies (ADF, Synapse, Fabric, Azure Functions) is also valued. Strong understanding of modern data lakehouse architectures , such as Databricks , Snowflake , or Microsoft Fabric (highly desirable). Exposure to Palantir Foundry More ❯

Objectives & Outcomes Define and socialise target state architectures across Azure/AWS/GCP (networking, identity, landing zones, operations). Deliver reference architectures and reusable patterns for containerised, serverless, and data workloads. Establish/extend Cloud Landing Zones (policy, guardrails, RBAC, tagging, network segmentation). Lead migration and modernisation (re‐host/re‐platform/re‐factor) for priority … data, AI/ML, integration). Define multi‐cloud connectivity (hub‐and‐spoke, transit gateways, ExpressRoute/Direct Connect/Cloud Interconnect, SD‐WAN). Design identity and access (Azure AD/Microsoft Entra, AWS IAM, GCP IAM; SSO; workload identities). Platform Engineering Standardise Terraform modules; enforce code quality, policy‐as‐code (OPA/Conftest/Azure Policy). Build/optimise Kubernetes platforms (AKS/EKS/GKE), service mesh (Istio/Linkerd), ingress, and autoscaling. Implement CI/CD (GitHub Actions/Azure DevOps/GitLab), environment promotion, secrets management, artifact repos. Security & Compliance Define guardrails (CIS benchmarks), cloud security posture management (Defender for Cloud, AWS Security Hub, GCP SCC). Vaulting and More ❯