151 to 175 of 193 PySpark Jobs in the UK

Dependent on experience. Required experience will include: Strong Python Programming skills. Strong design and development skills using Python. Python's libraries for machine learning: PySpark, Pytorch, scikit-learn and pandas. Technical experience using Databricks and MLFlow (Other Platforms can be considered). Good understanding of software code review standards ...

TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross-functional teams ...

quality and structure of data ·Translate business needs into clear technical plans Experience required: ·Strong skills in data modelling ·SQL with either Python or PySpark ·Databricks or similar cloud data platform ·Experience communicating with both technical and non-technical users ·Leadership or mentoring experience ·Insurance or regulated sector experience ...

quality and structure of data Translate business needs into clear technical plans Experience required: Strong skills in data modelling SQL with either Python or PySpark Databricks or similar cloud data platform Experience communicating with both technical and non-technical users Leadership or mentoring experience Insurance or regulated sector experience ...

data for critical client projects. How to develop and enhance your knowledge of agile ways of working and working in open source stack (PySpark/PySql). Quality engineering professionals utilise Accenture delivery assets to plan and implement quality initiatives to ensure solution quality throughout delivery. As a Data ...

strategy. About you - Extensive Technical Expertise: Strong knowledge of Microsoft Fabric components including OneLake, Lakehouse/Warehouse, Delta Lake, Direct Lake, Data Factory, Spark (PySpark/Scala) and Power BI (DAX and semantic modelling). Advanced Programming and Data Engineering Skills: Proficient in Python, SQL and T-SQL with … experience in PySpark; familiarity with KQL for real-time analytics and robust ELT design using medallion architectures. Proven Experience in Modern Data Platforms: Track record of building and operating Azure-based data platforms, ideally in greenfield or transformational contexts, with integration across on-premise, cloud and third-party sources. ...

engineers and influence data architecture across high-consequence programmes Build and optimise ontologies, pipelines, and semantic models Apply strong data engineering skills (Python, SQL, PySpark) Bring cloud expertise (AWS, Azure, or GCP) and proven team leadership If you have Palantir Foundry experience and want to take ownership of delivery ...

/d Contract length: 6 months Base Location: London - 3/d a week Skills required: - Azure/Azure Data bricks - ADF/ETL - Pyspark/Scala Experience: Experience working on large data sets, and complex data pipelines click apply for full job details ...

/d Contract length: 6 months Base Location: London - 3/d a week Skills required: - Azure/Azure Data bricks - ADF/ETL - Pyspark/Scala Experience: Experience working on large data sets, and complex data pipelines. Understanding of Data Architecture and Design, and Data pipeline optimisation. Proven ...

/d Contract length: 6 months Base Location: London - 3/d a week Skills required: - Azure/Azure Data bricks - ADF/ETL - Pyspark/Scala Experience: Experience working on large data sets, and complex data pipelines. Understanding of Data Architecture and Design, and Data pipeline optimisation. Proven ...

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 ...

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 ...

. 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 ...

. 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 ...

data-driven decisions, while learning from experienced team members and developing your technical and business skills. Key Responsibilities: Build and maintain data pipelines, leveraging PySpark and/or Typescript within Foundry, to transform raw data into reliable, usable datasets. Familiarity with Palantir Foundry, PySpark, Kafka, TypeScript, PowerBI preferable. … years of experience building data pipelines at work or through internships is helpful. You can write clear and reliable Python/PySpark code. You are familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud ...

that form the backbone of our Lakehouse platform, enabling accurate analytics, reporting, and regulatory compliance. You'll work with cutting-edge technologies including Databricks , PySpark , and Azure Data Factory , applying best practices in data engineering and governance to support this critical programme. Lead Databricks Engineer: Key Responsibilities Build … maintain Databricks pipelines (batch and incremental) using PySpark and SQL. Orchestrate end-to-end workflows with Azure Data Factory . Develop and optimise Delta Lake tables (partitioning, schema evolution, vacuuming). Implement Medallion Architecture (Bronze, Silver, Gold) for transforming raw data into business-ready datasets. Apply robust monitoring, logging ...

Senior Data Engineer Salary: Up to £70,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong ...

Senior Data Engineer Salary: Up to £70,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong ...

looking for an experienced PySpark Developer with strong Microsoft Fabric and Azure engineering skills to join a major transformation programme within the financial-markets domain. This role is fully hands-on, focused on building and optimising large-scale data pipelines, dataflows, semantic models, and lakehouse components. Key Responsibilities Design … stakeholders to translate requirements into scalable technical solutions Troubleshoot and improve reliability, latency and workload performance Essential Skills Strong hands-on experience with PySpark, Spark SQL, Spark Streaming, DataFrames Microsoft Fabric (Fabric Spark jobs, dataflows, pipelines, semantic models) Azure: ADLS, cloud data engineering, notebooks Python programming; Java exposure beneficial ...

Your new company This is a pivotal opportunity to join the Data and Innovation division of a large complex organisation leading the delivery of SAM (Supervisory Analytics and Metrics)-a transformative programme enhancing supervisory decision ...

Services : S3, Redshift, Glue, Athena, Lake Formation, IAM Data Engineering/ETL: Building and optimizing ETL pipelines Data ingestion, transformation & orchestration using AWS Glue (PySpark/Python) Working with structured/semi-structured telecom datasets (CDRs, network logs, subscriber data) Data Lake Technologies: Expertise in Apache Iceberg table format … Ideal Candidate Profile 310+ years of experience in AWS Data Engineering/Support Engineering. Strong telecom domain understanding. Hands-on with Iceberg, Athena, Glue (PySpark), Python, Redshift, S3, ETL frameworks. Strong troubleshooting mindset and ability to work in 247 or rotational support environments (if required). ...

Services : S3, Redshift, Glue, Athena, Lake Formation, IAM Data Engineering/ETL: Building and optimizing ETL pipelines Data ingestion, transformation & orchestration using AWS Glue (PySpark/Python) Working with structured/semi-structured telecom datasets (CDRs, network logs, subscriber data) Data Lake Technologies: Expertise in Apache Iceberg table format … Candidate Profile 310 years of experience in AWS Data Engineering/Support Engineering. Strong telecom domain understanding. xkybehq Hands-on with Iceberg, Athena, Glue (PySpark), Python, Redshift, S3, ETL frameworks. Strong troubleshooting mindset and ability to work in 247 or rotational support environments (if require ...

supporting/principles. Current Microsoft/Databricks certifications are useful but not mandatory – we'll help you get those! Core: Data Manipulation (SQL, Pandas, Pyspark) Azure AI (Azure AI Foundry, AI Search, Document Intelligence, AI Services) Data Science & Machine Learning (Databricks, Python, SKLearn, XGBoost, MLFlow, EDA) Familiarity with LLMs … Modelling Data Science Data Warehouse Theory Data Architecture Master Data Management Key Words: Azure - AI - Artificial Intelligence - ML - Machine Learning - Consultant - IT Consultancy - SQL - PySpark - Azure AI - AI Search - LLM - OpenAI - Data Science - Databricks - Python - AI Engineer - ML Engineer - AI Consultant - ML Consultant - Data Manipulation - SQL Databases Additional Information ...

supporting/principles. Current Microsoft/Databricks certifications are useful but not mandatory – we'll help you get those! Core: Data Manipulation (SQL, Pandas, Pyspark) Azure AI (Azure AI Foundry, AI Search, Document Intelligence, AI Services) Data Science & Machine Learning (Databricks, Python, SKLearn, XGBoost, MLFlow, EDA) Familiarity with LLMs … Modelling Data Science Data Warehouse Theory Data Architecture Master Data Management Key Words: Azure - AI - Artificial Intelligence - ML - Machine Learning - Consultant - IT Consultancy - SQL - PySpark - Azure AI - AI Search - LLM - OpenAI - Data Science - Databricks - Python - AI Engineer - ML Engineer - AI Consultant - ML Consultant - Data Manipulation - SQL Databases Additional Information ...