1 to 25 of 42 Remote PySpark Jobs in the UK excluding London

data modeling, data warehousing concepts, and distributed systems. Excellent problem-solving skills and ability to progress with design, build and validate output data independently. Deep proficiency in Python (including PySpark), SQL, and cloud-based data engineering tools. Expertise in multiple cloud platforms (AWS, GCP, or Azure) and managing cloud-based data infrastructure. Strong background in database technologies (SQL Server More ❯

data modeling, data warehousing concepts, and distributed systems. Excellent problem-solving skills and ability to progress with design, build and validate output data independently. Deep proficiency in Python (including PySpark), SQL, and cloud-based data engineering tools. Expertise in multiple cloud platforms (AWS, GCP, or Azure) and managing cloud-based data infrastructure. Strong background in database technologies (SQL Server More ❯

data modeling, data warehousing concepts, and distributed systems. Excellent problem-solving skills and ability to progress with design, build and validate output data independently. Deep proficiency in Python (including PySpark), SQL, and cloud-based data engineering tools. Expertise in multiple cloud platforms (AWS, GCP, or Azure) and managing cloud-based data infrastructure. Strong background in database technologies (SQL Server More ❯

an impact, get in touch ASAP as interviews are already taking place. Don't miss out! Key Skills: AWS, Data, Architecture, Data Engineering, Data Warehousing, Data Lakes, Databricks, Glue, Pyspark, Athena, Python, SQL, Machine Learning, London More ❯

including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of More ❯

regular company events What you'll need: Solid experience in data engineering, management and analysis Strong experience with Azure Data Warehouse solutions and AWS Databricks platforms Exceptional Python/PySpark + additional languages for data processing Strong SQL with experience across both relational databases (SQL Server, MySQL) and NoSQL solutions (MongoDB, Cassandra) Hands-on knowledge of AWS S3 and More ❯

data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Lake Storage/One Lake, and Azure Data Factory. Understanding of data extraction from vendor REST APIs. Spark/Pyspark or Python skills a bonus or a willingness to develop these skills. Experience with monitoring and failure recovery in data pipelines. Excellent problem-solving skills and attention to detail. More ❯

knowledge sharing sessions and self-development. About You Experience with finance/financial systems and concepts Azure Databricks Azure Data Factory Excellent SQL skills Good Python/Spark/pyspark skills Experience of Kimball Methodology and star schemas (dimensional model). Experience of working with enterprise data warehouse solutions. Experience of working with structured and unstructured data Experience of More ❯

financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data warehousing solutions - Snowflake experience would be brilliant Understanding of CI/CD processes for deploying data solutions Some exposure to big data technologies and distributed processing More ❯

Azure. Especially Synapse, ADF and Power BI (Datasets and Reports). Ideally SSIS, SSRS, SSAS with some understanding of Power App design and delivery Expert in SQL and Python (PySpark) languages, any other object orientated language skills would be a benefit Expert in data modelling and data architecture concepts Experience of setup and management of code management & deployment tools More ❯

Engineer/Data Engineering role Large and complex datasets Azure, Azure Databricks Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL CDC Stream Processing Database Design ML Python/PySpark Azure Blob Storage Parquet Azure Data Factory Desirable: Any exposure working in a software house, consultancy, retail or retail automotive sector would be beneficial but not essential. More ❯

Troubleshoot issues and continuously improve data infrastructure Explore AI-driven enhancements to boost data accuracy and productivity Requirements: Strong experience with: Azure Databricks, Data Factory, Blob Storage Python/PySpark SQL Server, Parquet, Delta Lake Deep understanding of: ETL/ELT, CDC, stream processing Lakehouse architecture and data warehousing Scalable pipeline design and database optimisation A proactive mindset, strong More ❯

and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: ·Essential experience with Azure Databricks - including Unity Catalog, Python (ideally PySpark), and SQL. ·Practical knowledge of modern ELT workflows, with a focus on the Extract and Load stages. ·Experience working across both technical and non-technical teams, with the ability More ❯

and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: Essential experience with Azure Databricks – including Unity Catalog, Python (ideally PySpark), and SQL. Practical knowledge of modern ELT workflows, with a focus on the Extract and Load stages. Experience working across both technical and non-technical teams, with the ability More ❯

and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: Essential experience with Azure Databricks - including Unity Catalog, Python (ideally PySpark), and SQL. Practical knowledge of modern ELT workflows, with a focus on the Extract and Load stages. Experience working across both technical and non-technical teams, with the ability More ❯

and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: Essential experience with Azure Databricks - including Unity Catalog, Python (ideally PySpark), and SQL. Practical knowledgeof modern ELT workflows, with a focus on the Extract and Load stages. Experience working across both technical and non-technical teams, with the ability to More ❯

and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: Essential experience with Azure Databricks – including Unity Catalog, Python (ideally PySpark), and SQL. Practical knowledge of modern ELT workflows, with a focus on the Extract and Load stages. Experience working across both technical and non-technical teams, with the ability More ❯

and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: Essential experience with Azure Databricks – including Unity Catalog, Python (ideally PySpark), and SQL. Practical knowledge of modern ELT workflows, with a focus on the Extract and Load stages. Experience working across both technical and non-technical teams, with the ability More ❯

Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Skillset Required: Experience in Python, PySpark and SQL Experience with AWS is a plus Strong proficiency in Core Java, including Collections, Concurrency, and Memory Management. Proficient in version control systems such as Git, GitLab, or More ❯

Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Skillset Required: Experience in Python, PySpark and SQL Experience with AWS is a plus Strong proficiency in Core Java, including Collections, Concurrency, and Memory Management. Proficient in version control systems such as Git, GitLab, or More ❯

Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Skillset Required: Experience in Python, PySpark and SQL Experience with AWS is a plus Strong proficiency in Core Java, including Collections, Concurrency, and Memory Management. Proficient in version control systems such as Git, GitLab, or More ❯

end-to-end ownership of demand delivery Provide technical guidance for team members Providing 2nd or 3rd level technical support About You Experience using SQL, SQL Server DB, Python & PySpark Experience using Azure Data Factory Experience using Data Bricks and Cloudsmith Data Warehousing Experience Project Management Experience The ability to interact with the operational business and other departments, translating More ❯

Large and complex datasets Azure, Azure Databricks ML/Machine Learning/AI/Artificial Intelligence Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory More ❯

We're looking for someone with strong technical expertise and a passion for solving complex business problems. You'll bring: Strong experience with SQL, SQL Server DB, Python, and PySpark Proficiency in Azure Data Factory, Databricks is a must, and Cloudsmith Background in data warehousing and data engineering Solid project management capabilities Outstanding communication skills, translating technical concepts into More ❯

Ourclientisaprominent,internationalhealthcarebusinesswiththeirHQinBristol.TheyhaveexperiencedsignificantgrowthinrecentyearsthroughM&Aandcurrentlygoingthroughextensivetransformationincludingmodernisationoflegacytechnologyandimplementationofnew. Aspartofthis,weareseeking2SeniorDataEngineerstoworkonexcitingprojectssuchas: MigratingtoDatabricks Onboardingnewdatasources PullingdatafromnewOracleFusionImplementationtonewAzureDatalake BuildingextensionstoLLMs(AI)forarangeofmoderntechnologiesusedwithinthebusinessinternallyandalsotointeractwiththeircustomers Youwilljoinateamexpectedtogrowto20overthecoming6-12months.Theseareseniorroleswhereyoucanaddvalueassoonasyoustart.Youwillhaveexperienceinthefollowing: Databricks Python Pyspark Azure SQLServer(T-SQL) Datawarehousing Theteamworkinaflexibleway.Onaverageyouwillwork1dayaweekinBristolwithsomeweeksmoreforpeakprojectworkandotherweeksnodaysintheofficeatall Thisisapivotalandexcitingtimetojointohelpdelivervitaldatatransformationworkingrightacrossthisbusiness. More ❯