51 to 75 of 3,951 Remote/Hybrid SQL Jobs

intuitive self-service reporting solutions for business users Developing and maintaining Azure-based data pipelines and ETL processes Designing scalable Azure data architecture Optimising SQL queries and database performance Improving data quality, governance and documentation Translating business questions into analytical solutions that influence strategic decision making Identifying commercial opportunities through … Fabric and AI to support the future BI strategy Driving continuous improvement by automating manual reporting processes SKILLS Advanced Power BI development experience Strong SQL and database optimisation skills Experience designing robust data models Excellent knowledge of DAX and Power Query (M) Experience developing ETL processes Strong understanding of Azure ...

manual intervention, human error and thus improve efficiency – including data management, approval processes, notifications and document management. Data Integration and Management Integrate Microsoft Dataverse, SQL Server, SharePoint and third-party APIs to ensure a seamless data flow between systems. Assist with the integration of internal and external IT systems. Power … solutions. Have proven experience in Power Platform expertise including Power Apps, Power Automate, Power BI and Power Virtual Agents. Have experience in Programming including, SQL, DAX, Power Query (M), Excel macros and Python. Have experience in designing Data Structures, Database Management including Microsoft Dataverse, SQL Server, SharePoint and Common Data ...

Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options ...

Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You've got a background in software engineering, including Front End technologies like JavaScript. You're a problem-solver, pragmatically exploring options ...

Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’re a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured ...

dimensional data modelling, including support for metadata and data dictionary management. Understanding of data security principles, governance frameworks, and MOD compliance standards. Strong SQL skills for querying and manipulating structured datasets. Proficiency in Python or R for statistical analysis, data wrangling, and automation. Experience building dashboards and visualisations using Power ...

across: Building data pipelines using Microsoft Fabric Fabric Lakehouse, Warehouse and OneLake Developing data models and analytics solutions Power BI development ETL/ELT SQL and SQL Server Azure Data Lake Internal and third-party API integrations Azure DevOps and Git CI/CD and production deployments Supporting existing Synapse … Fabric depth and longer-term ownership , rather than simply meeting an arbitrary number of years. Youll also need experience across several of the following: SQL Data modelling ETL/ELT development Azure data platforms Azure Data Lake API integrations Git/source control Azure DevOps CI/CD Developing, deploying ...

underpin reporting, analytics, and operational decision-making across the project programme. Working within a multidisciplinary Data & Analytics team, the successful candidate will use Databricks, SQL, Python, and Microsoft technologies to deliver robust, scalable, and maintainable data solutions. They will collaborate closely with Data Architects and Performance Analysts to transform business … Azure technologies. Build scalable ETL/ELT pipelines to ingest, transform, and load data from multiple enterprise systems. Develop data transformations using PySpark, Spark SQL, SQL, and Python. Create and maintain curated datasets that support business intelligence, reporting, and analytics. Implement data quality, reconciliation, validation, and monitoring processes. Optimise data ...

clear value, including integrating AI tools for analysis and AI coding agents into day-to-day workflows Tech stack Azure Databricks (Spark, Delta Lake) SQL Server, Confluent Kafka Scala, SQL, dbt Git, GitHub Actions, Terraform Sigma (BI) Must-have experience Commercial experience as a Data Engineer working with Spark … data platform within the broader platform ecosystem Good Scala skills (or strong PySpark plus a genuine willingness to work primarily in Scala) Strong SQL skills for transformations, data modelling, and debugging data issues Experience building and supporting ingestion pipelines end to end Understanding of data modelling for analytics (star schema ...

processes using Azure Data Factory, Databricks, and Synapse Analytics. Manage and enhance data lakes, data warehouses, and data storage solutions. Develop and optimize SQL queries, data models, and database objects for performance and scalability. Ensure data quality, security, governance, and compliance with organizational standards. Implement CI/CD practices … About you Technical Skills Strong experience with: Azure Data Factory (ADF). Azure Databricks. Azure Synapse Analytics. Azure Data Lake Storage (ADLS). Azure SQL Database and SQL Server. Microsoft Fabric (preferred). Advanced SQL development and performance tuning skills. Experience with Python, PySpark, or Scala for data processing. Knowledge ...

opportunities to support data products, process intelligence, automation and AI‐enabled solutions. Responsibilities Design, build and maintain data pipelines and curated datasets using Python, SQL and modern data‐engineering platforms. Pick up and progress existing data‐engineering work, troubleshooting issues and helping solutions move through testing, deployment and handover. Integrate … Skills and Experience Experience in data engineering, analytics engineering or a comparable technical role. Experience building data pipelines, transformations and reusable datasets using Python, SQL and modern data platforms. Good understanding of data modelling, data quality, testing, metadata, lineage and production release. Experience integrating data across APIs, databases and enterprise ...

opportunities to support data products, process intelligence, automation and AI-enabled solutions. Responsibilities Design, build and maintain data pipelines and curated datasets using Python, SQL and modern data-engineering platforms. Pick up and progress existing data-engineering work, troubleshooting issues and helping solutions move through testing, deployment and handover. Integrate … Skills and Experience Experience in data engineering, analytics engineering or a comparable technical role. Experience building data pipelines, transformations and reusable datasets using Python, SQL and modern data platforms. Good understanding of data modelling, data quality, testing, metadata, lineage and production release. Experience integrating data across APIs, databases and enterprise ...

analytics requirements across the business. Youll work across: Microsoft Fabric, including Lakehouse, Warehouse and OneLake Data pipelines and ETL/ELT Power BI SQL and data modelling Azure Data Lake Internal and third-party API integrations Azure DevOps, Git and CI/CD Production deployment and support Existing Azure Synapse … Fabric depth and production ownership , rather than using an arbitrary number of years as the measure. Youll also need strong Data Engineering experience across: SQL Data modelling ETL/ELT Azure data platforms API integrations Git/source control CI/CD Production deployment and support Azure Synapse would ...

processes. • Working with APIs to ingest and process data from multiple sources. • Maintaining and enhancing data pipelines within the Azure environment. • Writing and optimising SQL queries to support reporting and operational requirements. • Monitoring data processes, identifying issues and implementing fixes where required. • Supporting data quality, governance and security initiatives. • Collaborating … skills, gained through commercial experience, higher education or personal projects. • Experience working with APIs and integrating data from multiple systems. • A good understanding of SQL and relational databases. • Familiarity with version control tools such as Git. • Strong analytical and problem-solving abilities. • Excellent communication skills and the ability to work ...

3+ years with strong Foundry depth). Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity ...

3+ years with strong Foundry depth). Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity ...

accelerate change within our industry, and who takes pride in producing accurate, well‐controlled outputs in a regulated environment. You will have strong SQL and advanced Excel skills as standard, with experience of Power BI and Databricks being a distinct advantage. You should be comfortable engaging stakeholders to shape requirements … detail. Demonstrable experience of automating manual, recurring reporting processes and embedding validation, reconciliation and control checks to ensure trusted outputs. Strong T‐SQL skills, writing and optimising queries to build and support complex reporting and data transformations. Advanced Excel knowledge, including the ability to analyse legacy spreadsheets and convert into ...

data architecture, engineering, analytics and reporting. Experience working with cloud-based data platforms such as Azure, AWS or GCP . Strong technical knowledge of SQL and Python . Experience with modern data technologies and tooling such as Microsoft Fabric, Power BI, Snowflake, dbt, Airflow, Databricks or Looker . Experience designing ...

Envitia’s data engineering capability. Essential Skills & Experience Proven hands‐on experience building and supporting production‐grade data pipelines using Databricks, PySpark, Spark SQL and Delta Lake. Experience designing and implementing Lakehouse architectures, including Medallion (Bronze, Silver, Gold) data models. Expertise in developing scalable ETL/ELT pipelines capable ...

code, and implementing data model changesYou have experience following software engineering best practices like version control and continuous integrationYou have strong proficiency using SQL in cloud data warehouses (e.g. BigQuery, Redshift, Snowflake) and are comfortable with performance optimization, data partitioning, and window functionsExperience with dbt for data transformation layerExperience with ...

implementing data model changes You have experience following software engineering best practices like version control and continuous integration You have strong proficiency using SQL in cloud data warehouses (e.g. BigQuery, Redshift, Snowflake) and are comfortable with performance optimization, data partitioning, and window functions Experience with dbt for data transformation layer ...

embedded into business processes and decision-making. Technical Skills: Hands-on experience in one or more of the following areas: Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases ...

embedded into business processes and decision-making.Technical Skills:Hands-on experience in one or more of the following areas:Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge ...

Title**: **Data Engineer** **Python, PySpark, and SQL****Location**: Northampton**About the Job you are considering:**We are seeking an experienced Data Engineer with strong expertise in Python, PySpark, and SQL to design, develop, and optimize large-scale data processing solutions. The ideal candidate will have hands-on experience building data … develop, and maintain scalable data pipelines and ETL processes.* Develop and optimize data processing solutions using Python and PySpark.* Write complex and high-performing SQL queries for data extraction, transformation, and analysis.* Work with large datasets and distributed computing frameworks to support data engineering initiatives.* Collaborate with architects, analysts ...

Python, PySpark, and SQLLocation: NorthamptonAbout the Job you are considering:We are seeking an experienced Data Engineer with strong expertise in Python, PySpark, and SQL to design, develop, and optimize large-scale data processing solutions. The ideal candidate will have hands-on experience building data pipelines, working with big data … Role:Design, develop, and maintain scalable data pipelines and ETL processes.Develop and optimize data processing solutions using Python and PySpark.Write complex and high-performing SQL queries for data extraction, transformation, and analysis.Work with large datasets and distributed computing frameworks to support data engineering initiatives.Collaborate with architects, analysts, and business stakeholders ...