76 to 100 of 128 Azure Synapse Analytics Jobs in the South East

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

and motivated Apprentice Data Engineer to join its IT team, working five days per week. This position represents an exceptional opportunity for an individual with a passion for data, analytics, and technology to begin a rewarding career within a supportive and forward-thinking environment, where learning and growth are actively encouraged. Your Role and Responsibilities While in this position … your duties may include but are not limited to: Support the design, development, and maintenance of scalable data pipelines using tools such as Apache Airflow, dbt, or Azure Data Factory. Learn how to ingest, transform, and load data from a variety of sources, including APIs, databases, and flat files. Assist in the setup and optimisation of data infrastructure and … storage solutions, such as data warehouses and data lakes, using platforms like Snowflake, BigQuery, or Azure Synapse. Help manage cloud-based infrastructure and services across AWS, Azure, or GCP environments. Learn to monitor data quality and integrity across systems and gain an understanding of data governance, lineage, and documentation best practices. Collaborate closely with Data Analysts, Data Scientists More ❯

a Zenzero technical assessment, or by holding recognised vendor certification(s). Pluralsight Foundation role at Average, or above. Foundation level Microsoft certification, or equivalent. Experience with Cisco Meraki, Azure Synapse and SQL. This role requires that you demonstrate the interpersonal and communication skills require to perform the role. Fluent in English, both written and spoken. More ❯

a Zenzero technical assessment, or by holding recognised vendor certification(s). Pluralsight Foundation role at Average, or above. Foundation level Microsoft certification, or equivalent. Experience with Cisco Meraki, Azure Synapse and SQL. This role requires that you demonstrate the interpersonal and communication skills require to perform the role. Fluent in English, both written and spoken. More ❯

a Zenzero technical assessment, or by holding recognised vendor certification(s). Pluralsight Foundation role at Average, or above. Foundation level Microsoft certification, or equivalent. Experience with Cisco Meraki, Azure Synapse and SQL. This role requires that you demonstrate the interpersonal and communication skills require to perform the role. Fluent in English, both written and spoken. More ❯

organisation on a key transformation programme within their trading and supply division. This is an exciting opportunity to play a pivotal role in building modern, scalable data solutions using Azure cloud technologies. The Role As a Senior Data Engineer, you’ll be responsible for designing and developing robust data foundations and end-to-end solutions that drive value across … data engineering best practices are consistently applied. Key Responsibilities Design and build data solutions aligned with business and IT strategy. Lead development of scalable data pipelines and models using Azure and Databricks. Support data foundation initiatives and ensure effective rollout across business units. Act as a bridge between technical and non-technical stakeholders, presenting insights clearly. Oversee change management … management, and data quality improvement. Contribute to best practice sharing and community-building initiatives within the data engineering space. Required Skills & Experience Cloud Platforms: Strong expertise in AWS/Azure/SAP ETL/ELT Pipelines: Advanced proficiency Data Modelling: Expert level Data Integration & Ingestion: Skilled Databricks, SQL, Synapse, Data Factory and related Azure services 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 ❯

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 ❯

real impact. We’re looking for an Head of Data & BI to lead on the delivery of A2Dominion’s Data & BI Strategy. You’ll oversee governance, data quality, and analytics, building an operating model that enables the business to make better decisions through insight and innovation. You help us deliver our data Quality Action Plan in collaboration with the … business to drive continual data quality improvements. As the senior lead for data, you’ll manage a talented in-house team and external partners, ensuring our platforms, reporting and analytics capability are robust, secure, and future-focused. Key Responsibilities: Data Strategy & Culture – Develop and implement a sustainable Data & BI Strategy, aligned with IT and business priorities, and embed a … data-driven culture across the organisation. Data Governance & Quality – Establish standards, principles and processes for data stewardship, ensuring compliance, classification, and quality monitoring are embedded. Analytics & Insight – Design, build and manage data platforms and reporting solutions, including dashboards, KPIs and wider regulatory returns; self-service tools for senior leaders and operational teams. Security & Compliance – Working closely with the Cyber More ❯

real impact. We’re looking for an Head of Data & BI to lead on the delivery of A2Dominion’s Data & BI Strategy. You’ll oversee governance, data quality, and analytics, building an operating model that enables the business to make better decisions through insight and innovation. You help us deliver our data Quality Action Plan in collaboration with the … business to drive continual data quality improvements. As the senior lead for data, you’ll manage a talented in-house team and external partners, ensuring our platforms, reporting and analytics capability are robust, secure, and future-focused. Key Responsibilities: Data Strategy & Culture – Develop and implement a sustainable Data & BI Strategy, aligned with IT and business priorities, and embed a … data-driven culture across the organisation. Data Governance & Quality – Establish standards, principles and processes for data stewardship, ensuring compliance, classification, and quality monitoring are embedded. Analytics & Insight – Design, build and manage data platforms and reporting solutions, including dashboards, KPIs and wider regulatory returns; self-service tools for senior leaders and operational teams. Security & Compliance – Working closely with the Cyber More ❯

real impact. We’re looking for an Head of Data & BI to lead on the delivery of A2Dominion’s Data & BI Strategy. You’ll oversee governance, data quality, and analytics, building an operating model that enables the business to make better decisions through insight and innovation. You help us deliver our data Quality Action Plan in collaboration with the … business to drive continual data quality improvements. As the senior lead for data, you’ll manage a talented in-house team and external partners, ensuring our platforms, reporting and analytics capability are robust, secure, and future-focused. Key Responsibilities: Data Strategy & Culture – Develop and implement a sustainable Data & BI Strategy, aligned with IT and business priorities, and embed a … data-driven culture across the organisation. Data Governance & Quality – Establish standards, principles and processes for data stewardship, ensuring compliance, classification, and quality monitoring are embedded. Analytics & Insight – Design, build and manage data platforms and reporting solutions, including dashboards, KPIs and wider regulatory returns; self-service tools for senior leaders and operational teams. Security & Compliance – Working closely with the Cyber More ❯

real impact. We’re looking for an Head of Data & BI to lead on the delivery of A2Dominion’s Data & BI Strategy. You’ll oversee governance, data quality, and analytics, building an operating model that enables the business to make better decisions through insight and innovation. You help us deliver our data Quality Action Plan in collaboration with the … business to drive continual data quality improvements. As the senior lead for data, you’ll manage a talented in-house team and external partners, ensuring our platforms, reporting and analytics capability are robust, secure, and future-focused. Key Responsibilities: Data Strategy & Culture – Develop and implement a sustainable Data & BI Strategy, aligned with IT and business priorities, and embed a … data-driven culture across the organisation. Data Governance & Quality – Establish standards, principles and processes for data stewardship, ensuring compliance, classification, and quality monitoring are embedded. Analytics & Insight – Design, build and manage data platforms and reporting solutions, including dashboards, KPIs and wider regulatory returns; self-service tools for senior leaders and operational teams. Security & Compliance – Working closely with the Cyber More ❯