26 to 50 of 75 PySpark Jobs in the UK excluding London

Senior) of data engineering experience Hands-on experience with Palantir Foundry and/or Foundry Data Platform (FDP) Strong proficiency in: Python SQL Spark (PySpark or SparkSQL) Experience building production data pipelines in cloud environments (AWS, Azure, or GCP) Understanding of data modeling, schema design, and metadata management Familiarity ...

team supporting Azure based Production Data & Analytics ETL/integration solutions (Fabric, Databricks, Synapse, Data Factory, Function Apps, Power BI etc) against SLAs Python, PySpark, Scala, Spark SQL Ability to identify and investigate complex problems and implement resolutions Direct contact with customers/end-users on the phone ...

Essential Strong experience with Azure Databricks Infrastructure as Code using Terraform DevOps practices and CI/CD pipelines Git and peer review workflows Python, PySpark, and SQL Cloud operations within Azure To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth ...

learn data engineering properly, this is a great place to do it. What You'll Be Responsible For Building and maintaining data pipelines using PySpark, Spark SQL, and Python on the Databricks Lakehouse platform Supporting the development of batch pipelines that feed our Discovery Analytics platform, powered by Power ...

with various databases e.g. MS SQL, Azure Cosmos DB. Skilled at optimizing large and more complicated SQL statements. Proficiency in Python and experience with PySpark Experience of REST API standards. Proficiency in writing clean, readable, and secure code for Azure backend services, i.e. functions, utility functions etc. Experience ...

integration. Proficiency with Databricks for data processing and analytics. Working knowledge of NodeJS would be an added advantage. Solid programming skills in Python , PySpark, Spark . Candidate must be adept at working with large-scale datasets , S3 , Python , and data cataloguing tools . Familiarity with data engineering best practices ...

Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

Lloyd's of London or London Market insurance sector Deep understanding of Delta Lake, Medallion architecture, Lakehouse patterns and data modelling. Strong Python, PySpark and Spark SQL capability Solid understanding of data governance Proven track record of ownership, delivery and operating effectively in fast-paced environments. What ...

Azure ML. Key skills and responsibilities, Demonstrated hands-on experience with Microsoft Fabric and Power BI. Extensive knowledge in data modelling, DAX, Python/PySpark, SQL/KQL. Proven record of technical leadership and effective stakeholder engagement. Design and deliver comprehensive Fabric solutions, including OneLake, Lakehouse, Warehouses, and Power ...

Experience 5+ years in data engineering, including experience in a senior or lead position Strong expertise across AWS Hands-on experience with Databricks, PySpark, and Lakehouse patterns Strong Python and SQL engineering ability Experience implementing scalable ETL/ELT pipelines Background in data modelling and building analytics-ready datasets ...

grades at A-level You have commercial Data Engineering experience working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You have a good understanding of modern data engineering best practices Ideally you will also have experience with Azure and Data Bricks You're excited ...

Required Strong hands-on experience with Microsoft Fabric Experience building end-to-end Lakehouse solutions Good data modelling skills (e.g. star schema) Experience using PySpark or Spark SQL Building data pipelines from APIs, ERP or SaaS systems Working with Fabric pipelines, notebooks and Dataflows Understanding of data governance ...

Required Strong hands-on experience with Microsoft Fabric Experience building end-to-end Lakehouse solutions Good data modelling skills (e.g. star schema) Experience using PySpark or Spark SQL Building data pipelines from APIs, ERP or SaaS systems Working with Fabric pipelines, notebooks and Dataflows Understanding of data governance ...

will have the following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...

will have the following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...

will have the following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...

Salary range: £75,000-£85,000 + 10% bonus + benefits Purpose: Build and maintain large, scalable Data Lakes, processes and pipelines Tech: Python, PySpark, AWS, Iceberg/Kafka, Spark/Glue, CI/CD Industry: Financial services/securities trading Immersum continue to support a leading SaaS securities ...

extend AI-enabled workflows as part of the core product (e.g. decision support, automation, insight generation) Develop and maintain data pipelines using Python, PySpark, SQL, and distributed systems Make pragmatic engineering decisions that balance short-term delivery with long-term product quality Contribute to technical and architectural discussions ...

functional teams and stakeholders. Well-versed in design thinking principles Great problem solving and analytical skills Preferred: Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferred ...

building and operating machine learning models. Experience in multiple technologies and frameworks required such as Azure Databricks, Azure ML, MLFlow, GIT, Python and PySpark and microservices. Strong understanding of software development, DevOps, MLOps and Agentic Ops practices and microservices. Excellent communication and collaboration skills. About ...

commercial or Agile environment. To be successful in this role its essential that you will: Have experience of AWS , Python, SQL, Gitand PySpark Desirable experience needed will be: SISS or SAS experience Quality Assurance and Test Automation experience Experience of Database technologies Experience in Financial Services organisation About ...

Sales, Customer Care and Logistics. What You'll Do Lakehouse Engineering (Azure + Databricks) Build and maintain scalable ELT pipelines using Lakeflow Declarative Pipelines, PySpark and Spark SQL. Work within a Medallion architecture (Bronze Silver Gold) to deliver reliable, high-quality datasets. Ingest data from multiple sources including ChargeBee … Databricks: Lakeflow Declarative Pipelines, Lakeflow Workflows, Unity Catalog, Delta Lake Azure: ADLS Gen2, Data Factory, Event Hubs (optional), Key Vault, private endpoints Languages: PySpark, Spark SQL, Python, Git DevOps: Azure DevOps Repos & Pipelines, CI/CD Analytics: Power BI, Fabric What We're Looking For Experience Commercial and proven ...

. Maintain/implement data warehousing solutions and manage large-scale data storage systems (e.g. Microsoft Fabric) Build and optimise SQL queries, stored procedures, PySpark notebooks and database objects to ensure data performance and reliability. Migrate and modernise legacy databases to cloud-based architectures. Database Administration Administer, monitor … normalisation, indexing, query optimisation). Strong experience with ETL/ELT tools. E.g. Azure Data Factory, Databricks, Synapse Pipelines, SSIS, etc. Experience with Python, PySpark, or Scala for data processing. Familiarity with CI/CD practices. Experience with Data lake, Data warehouse and Medallion architectures. Understanding of API integrations ...

structure data for analytics, reporting and downstream consumption. The ideal candidate will have a solid background in Spark-based engineering, particularly PySpark, and be confident working with Glue jobs, Glue Catalog, S3, and other AWS native services used within a data platform build. Location: Remote (client based in North ...

leadership role. Hands-on expertise in the development of a data Lakehouse within the Microsoft Fabric or Databricks data platforms. Significant experience with PySpark and Spark-based data processing. Deep understanding of data warehouse design principles, Lakehouse architectures, including medallion (Bronze/Silver/Gold) patterns. Experience integrating data ...