126 to 136 of 136 PySpark Jobs in the UK

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 … contribute to data analytics insights and visualization concepts, methods and techniques We are looking for experience in the following skills: Palantir (Must Have) Python PySpark/PySQL AWS or GCP Set yourself apart: Palantir Certified Data Engineer Certified cloud data engineering (preferably AWS) What ...

transform them into robust, production-grade code libraries that other teams can actually use. Build Data Pipelines: Design and deploy scalable pipelines using PySpark to handle massive datasets for experiment execution. Collaborate: Work cross-functionally with Data Scientists and Software Engineers to turn complex requirements into seamless deployments. What … Looking for: You have a degree in CS, Math, or Engineering, Data Science3 Expert with Python, SQL, and PySpark . 3+ years in a similar role with a globally recognised large brand Production Experience: You’ve built and shipped scalable systems before (ideally with ML/AI components) DevOps ...

Data Engineer London, £550 per day Outside IR35, Hybrid This is an exciting opportunity to play a key role in a major data modernisation programme, focused on migrating a large SQL Server estate into a ...

Role: Join our client as a Lead PySpark Engineer to modernize legacy data workflows. You will lead the hands-on transition of complex SAS environments into scalable, AWS-native PySpark pipelines for a major financial services project. What You'll Do Modernize: Convert legacy SAS code into production … ready PySpark using automated tools and manual refactoring. Build: Design and fix high-performance ETL/ELT pipelines and data marts on AWS. Your Technical Profile PySpark (Expert): 5+ years of hands-on experience. Deep knowledge of Spark optimization (partitioning, tuning) and Data Warehousing (SCDs, Facts/Dimensions ...

proven background and experience of full cycle development of a corporate, Microsoft based Data Warehouse. Desired skills: Design, Build, Test, Azure, Fabric Lakehouse, Spark, PySpark We are looking to recruit a high-calibre resource, so the client is happy to consider candidates from both a contract and permanent background. … your most recent CV to be considered for telephone screening. SQL/BI/ETL/DATAWAREHOUSE/AZURE/FABRIC/SPARK/PYSPARK/LEAD/MANAGER/HOME/REMOTE/MIDLANDS/BIRMINGHAM/SQL/BI/ETL/DATAWAREHOUSE/AZURE/FABRIC ...

Doing Leading and mentoring a team of Data Engineers Designing and building scalable data pipelines in Databricks Remaining hands on with Python/PySpark development Working closely with product, Front End, and Back End teams Integrating multiple data sources, including APIs Driving best practice across the data platform Helping … shape the future data architecture What We're Looking For Essential: Strong commercial experience with Databricks Advanced Python and PySpark Solid SQL skills Experience building production data pipelines Experience working with API based data ingestion Familiarity with Azure storage connectivity Prior technical leadership or mentoring experience Nice to have ...

pricing models with advanced data science techniques using WTW Radar and Emblem. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Create innovative data solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers … Street Pricing. What we’re looking for: Experience in general insurance pricing with strong modelling skills. Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software is preferred. A quantitative degree in Mathematics ...

champion best practice methods; upskill the team through coaching and code reviews. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Communicate pricing proposals and insights clearly and persuasively to stakeholders at all levels. Collaborate with Modelling, Optimisation … insurance pricing. Strong technical expertise in predictive modelling techniques (e.g. GLMs and machine learning models). Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software and optimisation tools. A quantitative degree ...

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 ML solutions into production environments. Monitor and improve model performance to ensure accuracy and efficiency. Contribute to team knowledge by mentoring … serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe). Experience with ML lifecycle tools (MLflow, Kubeflow, Azure ML Pipelines). Knowledge of distributed data processing (PySpark) and software engineering principles (Git). A collaborative mindset and excellent problem-solving abilities. Experience in data cleansing, exploratory data analysis, and visualisation. ...

Lead Data Engineer - Pyspark/AWS/Python/SAS - Financial Sector As a Lead PySpark Engineer, you will design, develop, and fix complex data processing solutions using PySpark on AWS. You will work hands-on with code, modernising legacy data workflows and supporting large-scale … PySpark migrations click apply for full job details ...

Lead PySpark Engineer (Cloud Migration) Role Type: 5-Month Contract Location: Remote (UK-Based) Experience Level: Lead/Senior (5+ years PySpark) Role Overview We are seeking a Lead PySpark Engineer to drive a large-scale data modernisation project, transitioning legacy data workflows into a high-performance ...