23 of 23 PySpark Jobs in Manchester

About Pret Pret is an international on-the-go food and drink retailer founded in1986. Our purpose is to make every day a little bit brighter, through organiccoffee, freshly prepared food, and exceptional customer service to millions ofpeople. Pret runs More ❯

warehouse and data infrastructure to support advanced analytics and reporting needs for a fast-growing organisation. Key Responsibilities: Design, develop, and maintain scalable data pipelines using SQL and Python (PySpark) . Ingest, transform, and curate data from multiple sources into Azure Data Lake and Delta Lake formats. Build and optimize datasets for performance and reliability in Azure Databricks . … to governance policies. Monitor and troubleshoot production jobs and processes. Preferred Skills & Experience: Strong proficiency in SQL for data transformation and performance tuning. Solid experience with Python , ideally using PySpark in Azure Databricks . Hands-on experience with Azure Data Lake Storage Gen2 . Understanding of data warehouse concepts , dimensional modelling , and data architecture . Experience working with Delta More ❯

Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: £50,000 - £77,500 - depending on experience Department: Technology and Data We’re 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has More ❯

About Pret Pret is an international on-the-go food and drink retailer founded in 1986. Our purpose is to make every day a little bit brighter, through organic coffee, freshly prepared food, and exceptional customer service to millions of More ❯

presentation skills, with the ability to engage both technical and non-technical stakeholders. Desirable Criteria Experience with Matillion products and competitive ETL solutions. Knowledge of big data technologies (Spark, PySpark), data lakes, and MPP databases (Teradata, Vertica, Netezza). Familiarity with version control tools such as Git, and experience with Python. Degree in Computer Science or related field (or More ❯

commercial, and operations — and this role will have a big say in what we build next. You’ll be responsible for designing and building robust, scalable data pipelines using PySpark, SQL and Databricks — enabling our analytics, BI and data science colleagues to unlock real value across the business. This is a brilliant opportunity for someone who’s passionate about … your expertise further — especially with tools like Databricks. Here’s what will help you thrive in this role: 2–5 years in data engineering or a related field Strong PySpark and advanced SQL skills Practical experience building and maintaining ETL/ELT pipelines in Databricks Familiarity with CI/CD pipelines and version control practices Nice to have: Experience More ❯

enhance cloud capabilities. Key Skills & Experience: Strong proficiency in SQL and Python. Experience in cloud data solutions (AWS, GCP, or Azure). Experience in AI/ML. Experience with PySpark or equivalent. Strong problem-solving and analytical skills. Excellent attention to detail. Ability to manage stakeholder relationships effectively. Strong communication skills and a collaborative approach. Why Join Us? Work More ❯

enhance cloud capabilities. Key Skills & Experience: Strong proficiency in SQL and Python. Experience in cloud data solutions (AWS, GCP, or Azure). Experience in AI/ML. Experience with PySpark or equivalent. Strong problem-solving and analytical skills. Excellent attention to detail. Ability to manage stakeholder relationships effectively. Strong communication skills and a collaborative approach. Why Join Us? Work More ❯

years in data engineering or backend development focused on data platforms. Strong hands-on experience with AWS services, especially Glue, Athena, Lambda, and S3 . Proficient in Python (ideally PySpark) and modular SQL for transformations and orchestration. Solid grasp of data modeling (partitioning, file formats like Parquet, etc.). Comfort with CI/CD, version control, and infrastructure-as More ❯

Analytics department. The Successful Applicant The successful Lead Data Engineer will be able to demonstrate: A background in building data pipelines and data analysis Skilled with Azure, AWS, Python, PySpark, SQL Knowledge of data architecture and database design.. Excellent leadership and communication skills. What's on Offer We are based in Stockport and our office is easily commutable by More ❯

experience across full project lifecycles, DevOps implementation, and working with RDBMS (SQL Server, Oracle, MongoDB). Hands-on with tools like Redgate SQL Toolbelt, Visual Studio, Team Foundation Services, PySpark/Python, and Snowflake. Resilient, self-managing, and aligned with UKMU IT’s strategic direction Benefits Our benefits are designed to make health happen for our people. Viva is More ❯

two years experience working with moderately complex software systems in production and have a curiosity and interest in learning more. In this role, you will be using python (specifically pyspark) and Node.js for processing data, backed by various Hadoop stack technologies such as HDFS and HBase. MongoDB and Elasticsearch are used for indexing smaller datasets. Airflow & Nifi are used … have at least two years experience working with moderately complex software systems in production and have a curiosity and interest in learning more. You will be using Python (specifically pyspark) and Node.js for processing data You will be using Hadoop stack technologies such as HDFS and HBase Experience using MongoDB and Elasticsearch for indexing smaller datasets would be beneficial More ❯

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: For airports, for partners, for people. We are CAVU. At CAVU our purpose is to find new and better ways to make More ❯

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: For airports, for partners, for people. We are CAVU. At CAVU our purpose is to find new and better ways to make More ❯

practices. This is a fantastic opportunity for a curious, solutions-focused data scientist to help build out our capability, working with cutting-edge tools like Databricks, AWS data services, PySpark, and CI/CD pipelines. What's in it for you? You'll be joining a collaborative, supportive team with a real passion for data-led innovation. It's … business impact - we'd love to hear from you. About you: 2-5 years of experience in Data Science or a related field Strong programming skills in Python and PySpark Strong data science modelling skills across classification, regression, forecasting, and/or NLP Analytical mindset with the ability to present insights to both technical and non-technical audiences Experience More ❯

of the listed Data and AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, Databricks. Experience in one or more of the listed Languages or Packages: Python, R, Pyspark, Scala, PowerBI, Tableau. Proven experience in successfully delivering multiple complex data rich workstreams in parallel to supporting wider strategic ambitions and supporting others in their teams on their personal More ❯

Skills and Expertise: Advanced knowledge of Cloud Services (preferably Azure) for data engineering, storage, and analytics. Solid expertise in solution architecture and data modeling. Proficiency in programming languages like PySpark or Python. Strong experience with SQL and NoSQL databases. Deep understanding of data warehousing, virtualization, and analytics concepts. Applying: If you feel you have the required skills for this More ❯

development of our Configurable Integrated Processing & Assurance System (CIPAS) and its associated management application. This work will involve using a range of modern open-source tools, such as: Python PySpark R Flask CSS Familiarity with all of these tools is not required to get the role, but Python and PySpark will be the main technologies you use day More ❯

predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar and Emblem software is preferred Proficient at communicating results in More ❯

predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar and Emblem software is preferred Proficient at communicating results in More ❯

predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient at communicating results in a concise More ❯

tasks. Using specialist software to monitor trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW s Radar software is preferred, but not essential. Proficient at communicating More ❯

tasks. Using specialist software to monitor trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW's Radar software is preferred, but not essential. Proficient at communicating More ❯