51 to 75 of 123 PySpark Jobs in England

scalable, secure data solutions using Azure Databricks, Data Factory and Data Lake Storage. Develop and optimise advanced data pipelines with Python, SQL, Spark/PySpark and Delta Lake. Champion strong data quality, governance and observability practices. Modernise legacy systems and support large-scale migrations into Azure. Provide technical leadership … Criteria Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory. Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing. Proven experience in CI/CD practices using industry-standard tools (e.g., GitHub Actions ...

migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning Provide hands-on data engineering expertise, building and optimising PySpark pipelines Ensure data is secure, high-quality, accessible, and structured for maximum business value Drive best practice in data governance, cataloguing, lineage, and standards … reporting teams Ensure compliance with data protection regulations and internal policies What you'll bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines ...

design, infrastructure, or management responsibilities. What you'll need to succeed Strong hands-on experience with Apache Spark - Writing and tuning Spark jobs/PySpark development experience. Experienced with Airflow and SQL. Strong experience working in with containerised environments using Kubernetes. Experience with programming in Python or Scala Experience ...

outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What ...

notebooks) Experience building or working within modern data warehouse architectures Ability to get up and running quickly without heavy onboarding Nice to have: Python, PySpark or Spark experience Exposure to APIs and external data integration Experience working in evolving or transforming data environments Most importantly, youll be someone ...

notebooks) Experience building or working within modern data warehouse architectures Ability to get up and running quickly without heavy onboarding Nice to have: Python, PySpark or Spark experience Exposure to APIs and external data integration Experience working in evolving or transforming data environments Most importantly, youll be someone ...

covered) Salary: £45,000 – £95,000 - dependent on level/experience (mid, senior, principle) Security Clearance: SC active Requirements: Databricks and Spark/PySpark (absolute must haves) Azure and AWS experience Data warehouses/lakehouse platforms CI/CD and modern engineering practices Public sector/Central government ...

landscapes and building workflows that support better decision making. The role is end to end. That means data engineering in Palantir Foundry, Python and PySpark, through to user-facing applications in TypeScript or React, and embedding AI workflows using AIP Logic and AIP Analysts. You will have ownership over ...

into scalable technical solutions Building end-to-end data workflows using a mix of low/no-code platforms and code-based approaches (Python, PySpark, SQL) Developing user-facing applications, dashboards, and workflows using modern front-end tools such as TypeScript and React Supporting the design and evolution ...

Strong experience designing modern cloud-based data platforms. Hands-on architectural experience with: AWS (essential): S3, EMR, Glue Kafka/event streaming architectures Python & PySpark-based data processing Experience designing data ingestion pipelines (batch and real-time). Proficiency in Infrastructure as Code (Terraform). Experience with GitHub-based ...

Strong experience designing modern cloud-based data platforms. Hands-on architectural experience with: AWS (essential): S3, EMR, Glue Kafka/event streaming architectures Python & PySpark-based data processing Experience designing data ingestion pipelines (batch and real-time). Proficiency in Infrastructure as Code (Terraform). Experience with GitHub-based ...

Strong experience designing modern cloud-based data platforms. Hands-on architectural experience with: AWS (essential): S3, EMR, Glue Kafka/event streaming architectures Python & PySpark-based data processing Experience designing data ingestion pipelines (batch and real-time). Proficiency in Infrastructure as Code (Terraform). Experience with GitHub-based ...

governed data solutions using modern cloud technologies. The Role Own the end-to-end design, build, optimisation, and support of scalable Spark/PySpark data pipelines (batch and streaming) Define and implement lakehouse architecture standards (medallion model: bronze, silver, gold), including governance, lineage, and data quality controls Design … solutions Required Skills & Experience Strong experience as a Senior or Lead Data Engineer with ownership of end-to-end data solutions Expertise in Databricks, PySpark/Spark, SQL, and Python Proven experience building and optimising large-scale data pipelines in production environments Strong knowledge of cloud data architectures , particularly ...

joins, transformations, stored procedures, and performance basics 3+ years Azure Data Factory, including pipeline development, parameter usage, and basic templates 3+ years Databricks experience (PySpark, Delta Lake, notebooks) 2+ years Python Experience Experience working with data warehouses and structured modelling concepts Strong understanding of ETL/ELT practices … data centric engineering Desirable Exposure to metadata driven or config driven engineering practices Basic PySpark optimisation or Delta Lake performance tuning Experience using Azure DevOps (repos, pipelines) Understanding of data governance, data quality tooling, or lineage concepts Experience in regulated environments or financial services The Application Timeline A first ...

support reporting, analytics, and business operations. This includes developing ETL/ELT workflows using both low-code tools and code-based approaches (SQL, Python, PySpark), ensuring performance, scalability, and reliability across the data platform. You will take ownership of data modelling and architecture , designing scalable data warehouse and lakehouse … understanding of data modelling (star schema, dimensional modelling, lakehouse design) Experience building and optimising ETL/ELT pipelines using SQL, Python, and/or PySpark Knowledge of data governance, quality, and security best practices Experience implementing CI/CD pipelines and DevOps practices Ability to work independently and manage ...

Architecture . Build and optimize batch and real-time data pipelines across underwriting, pricing, claims, reinsurance, and bordereaux data. Develop scalable solutions using Python, PySpark, Databricks, and/or Snowflake . Integrate data from policy administration systems, claims platforms, broker systems, third-party providers, and market feeds. Ensure strong … background in Insurance , ideally within the London Market ecosystem. Deep knowledge of underwriting, claims, delegated authority, pricing, and reinsurance. Hands-on expertise in Python, PySpark, Databricks, Snowflake, SQL . Experience with Azure, AWS, or GCP . Strong understanding of batch/streaming pipelines and data modelling. Familiarity with DevOps ...

outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What ...

engineering within distributed systems Proven ability to build and optimise data pipelines at scale Solid Python skills with exposure to tools such as Spark, PySpark, and Hadoop Strong understanding of data ingestion and batch processing methodologies Experience with text or unstructured data is advantageous but not essential A hands ...

direction, maintaining standards, and driving output Designing and delivering data solutions across platforms, including low/no-code tooling and code-based approaches (Python, PySpark, SQL) Overseeing the development of user-facing applications and workflows using TypeScript and React Acting as the primary client interface, shaping requirements and translating ...

processing Handson in Prompt Engineering Azure Open AI Form Recognizer Cognitive Search Vector Databases Develop and deliver upskilling sessions to the customer Python and PySpark Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

differences between different packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience of WTW's Radar software is preferred. Proficient at communicating results in a concise manner both verbally and written. ...

Azure or AWS Developing modern lakehouse architectures using: Databricks (Spark, SQL, Delta Lake) Azure Data Lake Storage or Amazon S3 Writing high-quality PySpark, Python, and SQL for ingestion, transformation, and modelling Implementing Bronze/Silver/Gold data layers Embedding data quality, validation and monitoring within pipelines Supporting … Data Engineering roles Strong experience working with Azure or AWS cloud platforms Commercial, hands-on experience using Databricks in production Proven capability across: PySpark/Python/SQL Cloud data storage (ADLS or S3) ETL/ELT pipeline development Solid understanding of data architecture, modelling, and governance Experience building ...

national scale. You must already hold active SC clearance to be considered. Responsibilities Design, build and maintain Databricks data pipelines using Apache Spark (PySpark & Spark SQL) Implement Delta Lake/Lakehouse architectures (Bronze, Silver, Gold) Develop scalable ELT/ETL workflows for batch and streaming data Optimise performance, reliability … delivery environment Contribute to CI/CD pipelines and automated testing practices Essential Skills & Experience Proven commercial experience as a Databricks Data Engineer Strong PySpark and SQL capability Hands-on delivery within AWS, Azure or GCP Experience with Delta Lake , data lakes and data warehouses Strong understanding of data ...

frameworks Engineering Delivery Design and evolve scalable data pipelines (batch and incremental watermark-based ingestion) using: Microsoft Fabric Pipelines Azure Data Factory PySpark/Python Fabric Notebooks Implement and maintain a medallion lakehouse architecture using OneLake and Fabric Warehouses Ensure Direct Lake-ready semantic models for analytics Lead incident … Hands-on experience with Microsoft Fabric, including: Workspaces, OneLake, Fabric Warehouses, Fabric Notebooks and Data Pipelines and Direct Lake semantic models Strong Python and PySpark development capability Solid SQL skills for warehouse development and metadata layers Proven ownership of production data systems end-to-end Wider Azure data platform ...

/PnL/Trade lifecycle/Reconciliation Understanding of financial products such as: Derivatives (swaps, futures, options), bonds Good-to-Have Exposure to PySpark or large-scale data processing Experience working with quants or pricing models Basic scripting (Unix/Bash) Prior experience in global banking environments Experience ...