1 to 25 of 49 PySpark Jobs in the UK excluding London

experience in developing data ingestion pipelines with advanced ML elements. Degree in Computer Science, Data Science, Engineering, or related field. Proficient in Python, SQL, PySpark, and Databricks. Experience with modern NLP techniques and tools. Familiarity with Git for version control. Knowledge of the insurance sector is advantageous but not … Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python and SQL, with experience in big data technologies (Databricks, PySpark). Experience in the insurance, cyber, or related domain preferred. Strong problem-solving and communication skills.Preferred Skills (Nice to Have): Knowledge of Monte Carlo more »

Mart. Utilize Vector Databases, Cosmos DB, Redis, and Elasticsearch for efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/… environments, Azure Data Lake, Azure Data Factory, Microservices architecture. Experience with Vector Databases, Cosmos DB, Redis, Elasticsearch. Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such more »

worked as a senior data engineer in data lake/lake house architecture platform and has hands on experience of developing data pipelines using Pyspark and SQL. The successful individual will have working experience of AWS data eco system and toolsets, with passion to learn and explore new technology … with hands on delivery. Working experience of Cloud Technologies and data eco system, AWS is preferable. Expert in development of data pipeline based on Pyspark and SQL with orchestration tools such as Airflow, Tivoli etc Knowledge of OLAP implementation on any Database technologies (Snowflake preferred) Excellent understanding of Data more »

come with scaling a company • The ability to translate complex and sometimes ambiguous business requirements into clean and maintainable data pipelines • Excellent knowledge of PySpark, Python and SQL fundamentals • Experience in contributing to complex shared repositories. What’s nice to have: • Prior early-stage B2B SaaS experience involving client more »

Data Engineer • Location : Belfast based – Hybrid - flexible working • Salary : £42,500 - £50,000 • Package: 10% bonus + 11% pension Overview One of the UK’s leading digital solution provider’s is searching for a Data Engineer to join their practice more »

Quality and Information Security principles Experience with Azure, ETL Tools such as ADF and Databricks Advanced Database and SQL skills, alng with SQL, Python, Pyspark, Spark SQL Strong understanding of data model design and implementation principles Data warehousing design patterns and implementation Benefits : £50-£60k DOE Mainly home based more »

building a massively distributed cloud-hosted data platform that would be used by the entire firm. Tech Stack: Python/Java, Dremio, Snowflake, Iceberg, PySpark, Glue, EMR, dbt and Airflow/Dagster. Cloud: AWS, Lambdas, ECS services This role would focus on various areas of Data Engineering including: End more »

months to begin with & its extendable Location: Leeds, UK (min 3 days onsite) Context: Legacy ETL code for example DataStage is being refactored into PySpark using Prophecy low-code no-code and available converters. Converted code is causing failures/performance issues. Skills: Spark Architecture – component understanding around Spark … Data Integration (PySpark, scripting, variable setting etc.), Spark SQL, Spark Explain plans. Spark SME – Be able to analyse Spark code failures through Spark Plans and make correcting recommendations. Spark SME – Be able to review PySpark and Spark SQL jobs and make performance improvement recommendations. Spark – SME Be able … are Cluster level failures. Cloudera (CDP) – Knowledge of understanding how Cloudera Spark is set up and how the run time libraries are used by PySpark code. Prophecy – High level understanding of Low-Code No-Code prophecy set up and its use to generate PySpark code. more »

Azure Cloud platform Knowledge on orchestrating workloads on cloud Ability to set and lead the technical vision while balancing business drivers Strong experience with PySpark, Python programming Proficiency with APIs, containerization and orchestration is a plus Qualifications: Bachelor's and/or master’s degree About you: You are more »

related field Certifications such as Azure Data Engineer Associate are desirable. Knowledge of data ingestion methods for real-time and batch processing Proficiency in PySpark and debugging Apache Spark workloads. What’s in it for you? Annual bonus scheme – up to 10% Excellent pension scheme Flexible working Enhanced family more »

Lead Azure Data Engineer | PySpark (Python) & Synapse | Tech for Good/Charity Rate: £500-650 per day Duration: 6-12 months IR35: Outside Location: Remote with occasional travel to London (Once every two months max) Essential skills required: Azure – solid experience required of the Azure Data ecosystem Python - ESSENTIAL … as PySpark is used heavily. You will be tested on PySpark Azure Synapse - ESSENTIAL as is used heavily Spark Azure Data Lake/Data Bricks/Data Factory Be happy to act as a lead and mentor to the other permanent Azure Data Engineers This is the chance … tool experience. Familiar with building Catalogs and lineage This is an urgent contract, so if you are interested apply ASAP. Lead Azure Data Engineer | PySpark (Python), Synapse, Data Lake | Tech for Good/Charity more »

London. Responsibilities: Collaborate with cross-functional teams to gather requirements and implement solutions. Develop and maintain data processing applications using Python. Optimise and tune PySpark jobs for performance and scalability. Ensure data quality, reliability, and integrity throughout the data processing pipelines. Technical Requirements: Python: Proficiency in Python programming. Object … Oriented Design: Solid understanding of object-oriented principles and design patterns. PySpark: Experience with PySpark for data processing and analytics. Azure: Familiarity with Azure services and cloud platforms. Financial Services Background: Knowledge of financial markets, instruments, and related data. more »

understand consumers. Hands-on data engineering/development experience, preferably in a cloud/big data environment Skilled in at least one of Python, PySpark, SQL or similar Experience in guiding or managing roles in insight or data functions, delivering data projects and insight to inspire action and drive more »

can offer you exposure to the latest technologies. We are looking for a senior Data Engineer who has solid Python skills as well as Pyspark, DataBricks and SQL, as well as Data Modeling, and Azure Data Factors . Azure Devops would be a distinct advantage. Strong communication and business more »

Senior Data Engineer • Location: Belfast based – Hybrid - flexible working • Salary : £50,000 - £60,000 • Package : 10% bonus + 11% pension Overview One of the UK’s leading digital solution provider’s is searching for a Senior Data Engineer to join more »

a complete greenfield re-architecture from the ground up in Microsoft Azure. The Tech you'll be playing with: Azure Data Factory Azure Databricks PySpark SQL DBT What you need to bring: 1-3 year's experience in building Data Pipelines SQL experience in data warehousing Python experience would more »

Cycle · Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Preferred qualifications, capabilities, and skills: · Skilled with Python or PySpark · Exposure to cloud technologies (Airflow, Astronomer, Kubernetes, AWS, Spark, Kafka) · Experience with Big Data solutions or Relational DB. · Experience in Financial Service Industry is more »

experience-related problems such as workforce management, demand forecasting, or root cause analysis Strong visualisation skills including experience with Tableau Familiarity with Databricks and PySpark for data manipulation and analysis Familiarity with Git-based source control methodologies, including branching and pull requests A self-starter, passionate about converting data more »

GitHub for version control, you will champion DevOps practices to ensure seamless collaboration and automation across the data engineering lifecycle. Your proficiency in SQL, PySpark, and Python will be helpful in transforming raw data into valuable insights, while your familiarity with Kafka will enable real-time data processing capabilities. … responsibilities: Lead the design, development, and maintenance of Azure-based data pipelines and analytical solutions using Databricks, Synapse, and other relevant services. Leverage SQL, PySpark, and Python to perform data transformations, aggregations, and analysis on large datasets. Architect data storage solutions using Azure SQL Database, Azure Data Lake Storage more »

contract position. If you possess a solid background in software application development, with experience in cloud or microservice architecture, and proficiency in Python or PySpark, we encourage you to apply. Python App Developer Requirements: Proficiency with Python or PySpark. Exposure to cloud technologies such as Airflow, Astronomer, Kubernetes, AWS more »

Proficiency in modern programming languages and database querying languages. Comprehensive understanding of the Software Development Life Cycle and Agile methodologies. Familiarity with Python or PySpark and cloud technologies like AWS, Kubernetes, and Spark is highly desirable. Ideal Candidate: Someone with a knack for innovative solutions and a commitment to more »

and industry standards for the organization. Strong experience on Azure cloud services like Azure, ADF, ADLS, Synapse Proficiency in querying languages such as SQL, Pyspark, Python and familiarity with data visualization tools (e.g. Power BI). Strong communication skills to gather the business requirements from stakeholder and propose best more »

or similar frameworks. Problem-Solving : Strong problem-solving skills and the ability to think quickly in a dynamic environment. Technical Skills: Proficiency in Python, PySpark, Synapse, DataBricks Strong SQL skills. CI/CD practices PyTest or similar Desirable Skills and Experience: Azure/Cloud services Jenkins, Octopus, and Git. more »

systems and offer improvements that will help reduce technical/code/engineering debt. Key Skills: Extensive experience with Machine Learning and Spark/PySpark Recommendation systems, pattern recognition, data mining, artificial intelligence Modern Parallel Computing; distributed clusters, multicore servers, GPU’s Experience with developing machine learning models at more »

a week in the Liverpool office - rest remote**** Senior Data Engineer, Data, Data Modelling, Migration, ETL, ETL Tooling (Informatica IICS & IDMC ) SQL, Python or Pyspark, Agile, migrating data from on-prem to cloud. **** Informatica Cloud (IICS & IDMC ) is essential - NOT PowerCenter**** A top insurance firm are looking for a … e.g. Scrum, SAFe) and tools (i.e. Jira, AzureDevOps). Data Engineer, Data, Data Modelling, Migration, ETL, ETL Tooling (Informatica IICS & IDMC ) SQL, Python or Pyspark, Agile, migrating data from on-prem to cloud. Seniority Level Mid-Senior level Industry Insurance Financial Services Employment Type Full-time Job Functions Information more »