176 to 200 of 226 Permanent Azure Synapse Analytics Jobs

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery. Contributes to community building initiatives like CoE, CoP. Mandatory skills: AWS/Azure/SAP - Master ELT - Master Data Modeling - Master Data Integration & Ingestion - Skill Data Manipulation and Processing - Skill GITHUB, Action, Azure DevOps - Skill Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest - Skill 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 ❯

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 ❯

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 ❯

you ll be: Lead and develop a small team of BI Analysts, setting direction, priorities, and standards for delivery. Contribute to and support the BI roadmap, ensuring insight and analytics underpin every operational and commercial decision. Build and refine Power BI dashboards and Azure data models that turn complex retail data into actionable stories. Explore automation and practical … sharpen decision-making. Collaborate across software, commercial, and operations teams to align BI with the company s wider technology roadmap. What you ll bring 5+ years in BI, Data Analytics, or Data Engineering, including proven experience leading a team. Deep working knowledge of Power BI and Azure Data Services (Data Factory, Synapse, etc.). Strong commercial awareness More ❯

you’ll be: Lead and develop a small team of BI Analysts, setting direction, priorities, and standards for delivery. Contribute to and support the BI roadmap, ensuring insight and analytics underpin every operational and commercial decision. Build and refine Power BI dashboards and Azure data models that turn complex retail data into actionable stories. Explore automation and practical … sharpen decision-making. Collaborate across software, commercial, and operations teams to align BI with the company’s wider technology roadmap. What you’ll bring 5+ years in BI, Data Analytics, or Data Engineering, including proven experience leading a team. Deep working knowledge of Power BI and Azure Data Services (Data Factory, Synapse, etc.). Strong commercial awareness 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 ❯