26 to 50 of 255 PySpark Jobs in England

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 ...

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 ...

Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions. Technical Expertise Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong ...

Experience leading or mentoring teams of engineers to deliver high‐quality scalable data solutions. Technical Expertise Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong ...

compliance with security privacy retention and regulatory requirementsYour Skills:Strong handson experience with Azure Databricks and Azure Data FactoryProven expertise in SQL Python and PySpark developmentExtensive experience in designing and implementing enterprisegrade data pipelinesStrong understanding of 3NF and dimensional data modelling principlesExperience designing and implementing Fact Dimension and Bridge ...

enterprise data source integration — MS SQL Server (on-premises and Azure SQL) and Oracle Database ingestion into Azure landing zones Strong Apache Spark skills — PySpark or Scala, optimisation, partitioning, and job scheduling in Databricks Experience assessing and remediating partially built or vendor-abandoned data platform implementations Proven ability ...

enterprise data source integration — MS SQL Server (on-premises and Azure SQL) and Oracle Database ingestion into Azure landing zones Strong Apache Spark skills — PySpark or Scala, optimisation, partitioning, and job scheduling in Databricks Experience assessing and remediating partially built or vendor-abandoned data platform implementations Proven ability ...

such as Claude Code or equivalent tools, to improve engineering productivity while maintaining high standards of quality, governance and security. Desirable experience Regulated environment. PySpark for large-scale data transformations. Migrating legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality ...

such as Claude Code or equivalent tools, to improve engineering productivity while maintaining high standards of quality, governance and security. Desirable experience Regulated environment. PySpark for large-scale data transformations. Migrating legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality ...

orchestrate the ingestion of data from disparate source systems into a centralised data analytics platform. Designing and implementingdata engineering solutions using T-SQL, Python, PySpark and DBT in the Azurecloud environment. Working with Data Analystsin promoting business logic into DBT data models, to support business reportsand dashboards. Maintaining ...

with both technical and non-technical audiences Nice to have: Production experience specifically in Microsoft Fabric Power BI, particularly Direct Lake mode Python/PySpark Data governance or security experience Experience enabling AI/ML workloads from a data platform, not just BI The details: Salary ...

accelerate development across code, infrastructure, testing and documentation while maintaining appropriate quality and security controls. Desirable experience Financial services or another regulated environment. PySpark for large-scale batch or streaming transformations. Migrating SQL Server and SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven ...

accelerate development across code, infrastructure, testing and documentation while maintaining appropriate quality and security controls. Desirable experience Financial services or another regulated environment. PySpark for large-scale batch or streaming transformations. Migrating SQL Server and SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven ...

data warehousing, dimensional modelling, Kimball principles and data architecture Advanced SQL/T-SQL skills, including query development, optimisation and troubleshooting Strong Python, PySpark or similar programming skills for data manipulation and automation Experience integrating data from APIs, databases, files and other sources Experience with data quality, pipeline monitoring ...

Strong problem-solving and analytical skills. Desirable Experience with Microsoft Fabric. Experience with Azure Data Services. Working with multi-currency financial information. Knowledge of PySpark or Spark SQL. Understanding of Microsoft Entra ID and security frameworks. Experience with DevOps and automated deployment pipelines. Knowledge of financial, legal, or professional ...

/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats. Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark). Security & Compliance: Direct experience implementing security controls for sensitive or identifiable data, utilizing Azure Key Vault, Azure Monitor, Log Analytics, and Microsoft Purview. ...

only on ETL. However, we will consider candidates who bring Cloud + CI/CD experience alongside technologies such as: Proficient SQL; familiarity with PySpark is beneficial dbt Microsoft Fabric SQLMesh 5. Core Engineering Skills Strong Python, with good documentation and unit testing practices Comfortable in an agile delivery ...

platform such as Databricks, Snowflake or Fabric, and orchestration tooling, with practical experience of ETL/ELT, data testing, Git and CI/CD; PySpark or dbt experience is beneficial. Working knowledge of finance data structures, including chart of accounts, entity hierarchy, sub-ledger to ledger relationships, intercompany ...

data platform from scratch, with responsibility for architecture and delivery in a business with limited existing data capability Strong SQL and Python or PySpark skills, with practical experience of ELT pipelines, dimensional modelling, source control and CI/CD Experience putting data governance and self-service BI into practice ...

analytics strategy AI & Automation Agentic AI patterns and intelligent automation solutions Document intelligence and AI-driven business use cases SQL Python and/or PySpark Data pipelines and transformation frameworks CI/CD concepts and deployment automation Azure DevOps and/or GitHub Infrastructure as Code awareness Environment promotion ...

database technologies including data lakes such as Azure SQL or SQL Server, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB with Python and Pyspark Building data warehouse or data lakes with SCVs or in conjunction with CDP platforms Experience of ELT/ETL tools such as Databricks, Azure Data ...

platform such as Databricks, Snowflake or Fabric, and orchestration tooling, with practical experience of ETL/ELT, data testing, Git and CI/CD; PySpark or dbt experience is beneficial. Working knowledge of finance data structures, including chart of accounts, entity hierarchy, sub‐ledger to ledger relationships, intercompany ...

should be able to reason about a model rather than only consume one. Python — working exposure to data manipulation (pandas, PySpark or similar). You will use it here from early on, so some practical experience is needed even if it is not your strongest language. Power BI — able ...

patterns, batch and streaming ingestion, event driven design Conceptual, logical and physical data modelling. Dimensional and data vault both useful Advanced SQL, Python or PySpark Declarative pipelines (Delta Live Tables or equivalent), Databricks Workflows, Auto Loader and Structured Streaming Microsoft Purview for data governance, cataloguing and lineage Azure Data ...

Need to Be Successful Deep, hands‐on experience building and running production data platforms and products A good level of experience in Python (particularly pyspark) for building data pipelines Strong AWS and Terraform experience, with infrastructure‐as‐code as your default way of working rather than something ...