26 to 50 of 3,042 Remote SQL Jobs

deliver effective solutions. Ensure data quality, accuracy and consistency through validation and monitoring processes. Design and maintain data models within Databricks and Azure SQL environments. Transform and prepare data for reporting, analytics and business intelligence. Support Power BI reporting and dashboard solutions alongside the BI team. Manage and optimise Azure … innovation, knowledge sharing and best practice within the Data & Business Intelligence team. Requirements Experience building and managing data pipelines and ETL processes. Strong SQL skills and experience with data modelling. Experience integrating data from multiple structured and unstructured sources. Strong understanding of cloud-based data architecture. Excellent analytical, problem-solving ...

best practice. Mentor engineers and support continuous improvement across the team. Required Skills Proven experience as a Senior Data Engineer or Data Engineer. Strong SQL development and database optimisation experience. Excellent Python programming skills. Hands-on experience with Azure Data Factory, Microsoft Fabric, Synapse Analytics or Databricks. Experience designing modern ...

Develop data models and analytics solutions Work extensively with Power BI Integrate internal and third-party systems through APIs Work with Azure Data Lake, SQL Server and SQL Support the existing Synapse environment while it transitions to Fabric Use Azure DevOps, Git and CI/CD to develop and deploy … commercial experience rather than somebody who has only had peripheral exposure to Fabric. Youll also need a strong grounding in Data Engineering, including: SQL ETL/ELT Data modelling Azure data platforms API integration Source control CI/CD and deployment Building and supporting production data solutions Azure Synapse ...

successful in this role, you will have: At least 5 years' experience in a Data Engineering or similar data-focused role. Strong SQL skills, including T-SQL and exposure to relational database technologies. Proven ETL experience, with SSIS being essential. Experience with scripting languages such as Python or PowerShell. Strong ...

succeedTo be successful in this role, you will have:At least 5 years' experience in a Data Engineering or similar data-focused role.Strong SQL skills, including T-SQL and exposure to relational database technologies.Proven ETL experience, with SSIS being essential.Experience with scripting languages such as Python or PowerShell.Strong understanding ...

deployments. Troubleshoot production issues and improve platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions ...

deploy scalable batch and streaming data pipelines, AI-ready data products, feature pipeline and analytics solutions on the Databricks Platform using Delta Lake, Spark SQL/PySpark, Unity Catalog and Databricks SQL. Deliver solutions across the full data & AI engineering lifecycle, from requirements analysis and solution design through development, testing … building scalable data platforms, data products and analytics solutions using modern lake house or cloud data warehouse technologies Proficiency writing advanced, highly optimised SQL and Spark (PySpark/Scala), with a focus on performance optimisation and maintainability. Designing and building solutions on a cloud data warehouse or lakehouse platform (e.g. ...

deploy scalable batch and streaming data pipelines, AI-ready data products, feature pipeline and analytics solutions on the Databricks Platform using Delta Lake, Spark SQL/PySpark, Unity Catalog and Databricks SQL.Deliver solutions across the full data & AI engineering lifecycle, from requirements analysis and solution design through development, testing, deployment … designing and building scalable data platforms, data products and analytics solutions using modern lake house or cloud data warehouse technologiesProficiency writing advanced, highly optimised SQL and Spark (PySpark/Scala), with a focus on performance optimisation and maintainability.Designing and building solutions on a cloud data warehouse or lakehouse platform (e.g. ...

deliver effective solutions. Ensure data quality, accuracy and consistency through validation and monitoring processes. Design and maintain data models within Databricks and Azure SQL environments. Transform and prepare data for reporting, analytics and business intelligence. Support Power BI reporting and dashboard solutions alongside the BI team. Manage and optimise Azure … already be working in a Data Engineer, or similar data-focused role, with:Experience building and managing data pipelines and ETL processes. Strong SQL skills and experience with data modelling. Experience integrating data from multiple structured and unstructured sources. Strong understanding of cloud-based data architecture. Excellent analytical, problem-solving ...

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 ...

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 in 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 Synapse solutions … Were looking for practical commercial experience with both, alongside a good grounding in Data Engineering. 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 ...

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 ...

Analytics, delivering meaningful digital and customer insights. Build and maintain reporting assets, ensuring consistent KPI definitions, calculations and visual standards. Within Databricks use advanced SQL to extract, transform and analyse large, complex datasets from multiple sources. Develop reusable data models and reporting structures that improve efficiency and reporting accuracy. Conduct … practice across the wider marketing function. Essential Skills Proven expertise in Adobe suit including Analytics, Launch, Edge and AEP. Strong hands-on experience using SQL for complex querying, data transformation and analysis. Dashboard development and digital performance measurement. Significant experience designing and building advanced Power BI solutions, including data modelling ...

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 quality, troubleshoot issues and continuously improve existing engineering processes and workflows.Required Skills• Commercial experience in a Data Engineering or Data Developer role.• Strong SQL and Python programming skills.• Hands-on experience with Google BigQuery and Google Cloud Platform.• Experience implementing cloud-based data solutions.• Experience integrating Salesforce Marketing Cloud ...

pragmatic approach.Essential ExperienceCommercial experience working as a Data Engineer.Hands-on experience with Microsoft Fabric, including Data Factory, Lakehouse, Warehouse, Notebooks and Power BI integration.Strong SQL skills and experience working with both relational and analytical data models.Experience building and maintaining ETL/ELT data pipelines.Knowledge of Azure data services and cloud ...

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 ...

with the ability to interpret complex risk and control data. Experience with data analytics, reporting, and visualization tools such as Power BI, Tableau, Alteryx, SQL, Python, or similar technologies will be a plus. Knowledge of process improvement methodologies and automation frameworks. Ability to identify process gaps, evaluate control effectiveness ...

related field. Experience in data engineering, analytics engineering, process engineering, or business intelligence development. Strong analytical and problem-solving skills. Experience working with SQL and relational databases. Experience developing reporting and analytics solutions. Ability to work effectively across technical and business teams. Strong communication and stakeholder engagement skills. Fluency ...

related field. Experience in data engineering, analytics engineering, process engineering, or business intelligence development. Strong analytical and problem-solving skills. Experience working with SQL and relational databases. Experience developing reporting and analytics solutions. Ability to work effectively across technical and business teams. Strong communication and stakeholder engagement skills. Fluency ...

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 ...

Senior Data Engineer (Fabric, SQL, Python) Hybrid (2 days in Office) Location: Hertfordshire Salary: £60,000 - £65,000+/20% Bonus Prize Placements are currently working alongside a global leader who are looking to recruit a Senior Data Engineer with expertise working with MS Fabric, SQL and Python. … candidate will have the following technical skills: Proficiency in implementing data pipelines and data literacy: ingesting, processing, cleaning, transforming, and modelling data Proficiency in SQL and Python, along with MS Fabric A good understanding and experience of data visualisation through BI tools such as Power BI or Tableau Excellent communication ...