1 to 25 of 37 PySpark Jobs in the UK excluding London

currently on-prem, but the direction of travel is cloud engineering, and you'll be executing code across the following tech stack: Azure, Databricks, PySpark and Pandas. DWP Digital is a great place to work, we offer a supportive and inclusive environment where you can grow your career and … make a real difference. Essential criteria: Commercial experience of Databricks, PySpark and Pandas Commercial experience of Azure data engineering tools such as Azure Data Factory, dedicated SQL pools and ADSL Gen 2 Experience of working with data lakes An understanding of dimensional modelling Details. Wages. Perks. You'll join more »

currently on-prem, but the direction of travel is cloud engineering, and you'll be executing code across the following tech stack: Azure, Databricks, PySpark and Pandas. DWP Digital is a great place to work, we offer a supportive and inclusive environment where you can grow your career and … make a real difference. Essential criteria: Commercial experience of Databricks, PySpark and Pandas Commercial experience of Azure data engineering tools such as Azure Data Factory, dedicated SQL pools and ADSL Gen 2 Experience of working with data lakes An understanding of dimensional modelling Details. Wages. Perks. You'll join more »

currently on-prem, but the direction of travel is cloud engineering, and you'll be executing code across the following tech stack: Azure, Databricks, PySpark and Pandas. DWP Digital is a great place to work, we offer a supportive and inclusive environment where you can grow your career and … make a real difference. Essential criteria: Commercial experience of Databricks, PySpark and Pandas Commercial experience of Azure data engineering tools such as Azure Data Factory, dedicated SQL pools and ADSL Gen 2 Experience of working with data lakes An understanding of dimensional modelling Details. Wages. Perks. You'll join more »

currently on-prem, but the direction of travel is cloud engineering, and you'll be executing code across the following tech stack: Azure, Databricks, PySpark and Pandas. DWP Digital is a great place to work, we offer a supportive and inclusive environment where you can grow your career and … make a real difference. Essential criteria: Commercial experience of Databricks, PySpark and Pandas Commercial experience of Azure data engineering tools such as Azure Data Factory, dedicated SQL pools and ADSL Gen 2 Experience of working with data lakes An understanding of dimensional modelling Details. Wages. Perks. You'll join 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 »

expertise and requirements. You have A BSc or MSc in computer science or related fields. Expertise in Python, including popular Python libraries: NumPy, Pandas, PySpark and frameworks: Django, Django Rest Framework, FastAPI Hands-on experience with both relational (e.g. PostgreSQL) and non-relational databases (e.g. Elasticsearch, Redis). Strong more »

Liverpool office 2-3 days a week - rest remote* Senior Data Engineer, Data, Datamodelling, Migration, ETL, ETL Tooling (Informatica IICS & IDMC ) SQL, Python or PySpark, Agile, migrating data from on-prem to cloud. *Informatica (IICS & IDMC) is essential* A top Reinsurance firm are looking for a Senior/Lead … cloud and tooling - Informatica and Azure are highly desired. Data Engineer, Data, Datamodelling, Migration, ETL, ETL Tooling ETL (Informatica IICS & IDMC) SQL, Python or PySpark, Agile, migrating data from on-prem to cloud. 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 »

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 »

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 »

Glue and SageMaker Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation) Data processing frameworks such as pandas, Spark and PySpark Machine learning concepts like model training, model registry, model deployment and monitoring Development and CI/CD tools (we use GitHub, CodePipeline and CodeBuild more »

STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is a bonus Experience of management BENEFITS: Pension scheme Gym Membership Share options Bonus Hybrid working HOW TO APPLY: Register more »

STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is a bonus Experience of management BENEFITS: Pension scheme Gym Membership Share options Bonus Hybrid working HOW TO APPLY: Register 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 »

with various databases e.g. MS SQL, Azure Cosmos DB. Skilled at optimizing large and more complicated SQL statements. Proficiency in Python and experience with PySpark Experience using: CI/CD, Microsoft Azure, and Azure Dev Ops in an agile environment. Knowledge of Azure ETL services, i.e. Data Factory, Synapse 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 »

that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these roles. About You: Bachelors Degree more »

of this is a strong preference. However other Cloud platforms like AWS/GCP are acceptable. • Coding Languages - Experience using Python with data (Pandas, PySpark) would be an advantage. Other languages such as C# would be beneficial but not essential. Their lovely offices are based in the West Midlands 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 »

Data Engineer We're partnering with a with a global financial services institution that are embarking on an ambitious project: to build an industry-leading data platform. The long-term vision is to migrate all data within the coming years more »

Job Description for Data Engineer - Coding skills: Pyspark or Scala(level to troubleshoot issues) and SQL. Must have good pyspark knowledge to build data transformation. Hands on Azure data platforms i.e; Azure Datafactory, Databricks, Synapse, SQL, Data lake storage. Experience building and optimizing ‘big data’ data pipelines, architectures 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 »

range of data sources. Most of their roles focus on the development of reproducible analytical pipelines using a range of coding languages (notably Python, PySpark and R) across a range of cloud based and local platforms. The roles also provide an opportunity for cutting edge data science analysis with … Job Responsibilities Write code and functions in a way that is reusable, fits best standards guidance, and are robustly unit tested. (Preferably in Python, PySpark or R) Create reproducible pipelines for systematic processing of statistical data, based on initial design documents. This includes writing documentation, designing and conducting tests … projects and tasks on a day-to-day basis. Supporting colleagues in the development of their data science skills. Essential Skills: Experience with Python, PySpark and R. Experience with Agile or Waterfall methodologies. Experience building scalable data products for a range of users in technology (e.g Big data). 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 »

Knowledge on Spark architecture and modern Datawarehouse/Data-Lake/Lakehouse techniques Build transformation tables using SQL. Moderate level knowledge of Python/PySpark or equivalent programming language. PowerBI Data Gateways and DataFlows, permissions. Creation, utilisation, optimisation and maintenance of Relational SQL and NoSQL databases. Experienced working with more »