26 to 50 of 61 Permanent PySpark Jobs in England

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 »

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 »

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 »

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 »

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 »

DevOps and CI/CD tools, Azure Cloud, Microsoft Fabric, Azure Services, Apache Spark, Experience of using IAC (terraform, APIs), Data Engineer, Big Data, PySpark 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 »

/marketing but not required Candidates should be looking to work in a fast paced startup feel environment Tech across: Python, SQL, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs Apply below 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 »

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 »

I have placed quite a few candidates with this organisation now, all have said glowing reviews about it, they're the leader in legal representation comparison and have rather interesting, unique data to work with. They are using modern Azure more »

a strong background in business change and transformation focussed expressly around Data analytics and Big data platforms. 5+ years of Big Data Experience utilising Pyspark 5+ years of managing data analytical projects within a financial domain (Banking/Investments) Background within investment managment, financial services, etc. Project management experience 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 »

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 »

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 »

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 »

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 NEXT STEPS: If this role looks of interest, please reach out to Joseph Gregory. more »

vision to convert data requirements into logical models and physical solutions. with data warehousing solutions (e.g. Snowflake) and data lake architecture, Azure Databricks/Pyspark & ADF. retail data model standards - ADRM. communication skills, organisational and time management skills. to innovate, support change and problem solve. attitude, with the ability more »

directly with clients. Supporting clients in platform discovery, integration, training, and collaboration on data science projects. Proficiency in technical skills, particularly Python, R, SQL, Pyspark, and JavaScript. Assisting users in mastering the platform. Analysing diverse data and ML applications. Providing strategic insights to ensure customer success. Collaborating with customers more »

of 4 years commercial experience Strong proficiency in AWS and relevant technologies Good communication skills Preferably experience with some or all of the following; Pyspark, Kubernetes, Terraform Expeirence in a start-up/scale up or fast-paced environment is desirable. HOW TO APPLY Please register your interest by 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 »

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 »