1 to 25 of 63 PySpark Jobs in England

experience of this is a strong preference. However other Cloud platFforms like AWS/GCP are acceptable. Coding - Experience using Python with data (Pandas, PySpark) would be an advantage. Other languages such as C# would be beneficial but not essential. What’s next? If you believe you have the more »

experience of writing clean, well-documented, and unit-tested python ETL processes to read, transform, and verifying data using tools such as SQL and PySpark Cloud technologies and architecture including Databricks, Kubernetes, Data/Delta Lake, Azure Machine Learning, Data Factory. Azure is preferable, but AWS and GCP experience more »

experience of writing clean, well-documented, and unit-tested python ETL processes to read, transform, and verifying data using tools such as SQL and PySpark Cloud technologies and architecture including Databricks, Kubernetes, Data/Delta Lake, Azure Machine Learning, Data Factory. Azure is preferable, but AWS and GCP experience more »

following technologies Azure Synapse, Data Factory, Databricks, SQL Db, Datalake, Key Vault Azure Dev Ops and CI/CD pipelines Coding in SQL and PySpark/Python DW/Data Vault concepts Power BI Experience with core Finance reporting (Projects, GL, AP, AR etc) - Highly desirable Preferred experience Knowledge more »

the insurance domain is advantageous. - Education : A degree in Computer Science, Data Science, Engineering, or a related discipline. Technical Skills : Proficient in Python, SQL, PySpark, and Databricks. Demonstrated proficiency in modern NLP techniques and tools. Proven track record in developing and managing data quality metrics and dashboards. Experience collaborating 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 »

standardise the Data Warehouse environment and solutions. Required Skills, Knowledge, and Experience: Experience designing, developing, and testing Azure Data Factory/Fabric pipelines, including PySpark Notebooks and Dataflow Gen2 workflows. Previous experience with Informatica Power Centre is desired. Significant experience in designing, writing, editing, debugging, and testing SQL code more »

Lead Data Engineer: We need some strong Data engineer profiles… they need good experience with Pyspark, Python, SQL, ADF and preferably Databricks experience Job description: Building new data pipelines and optimizing data flows using the Azure cloud stack. Building data products from scratch. Support Business Analysts and Data Architects 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 »

V2, Azure Databricks, Azure Function Apps& Logic Apps, Azure Stream Analytics, Azure Resource Manager skills (Terraform, Azure Portal, Az CLI and Az PowerShell) Strong PySpark, Delta Lake, Unity Catalog and Python skills. Includes ability to write unit and integration tests in Python with unittest, pytest, etc. Strong understanding of more »

applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python & SQL. Experience with big data technologies and tools, particularly Databricks and Pyspark, is highly desirable. Experience in agile software development processes is a plus. Experience in insurance, cyber, or a related domain is ideal. Understanding of more »

Ability to optimise workflows and analysis for map reduce processing Experience with BI software (Power BI, Tableau, Qlik Sense) Any experience with data engineering, PySpark, Databricks, Delta Lakes beneficial Confident presenting complex problems in ways suitable to target audience Experience leading or managing a small analysis team Familiarity working 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 »

standardise the Data Warehouse environment and solutions. Required Skills, Knowledge, and Experience: Experience designing, developing, and testing Azure Data Factory/Fabric pipelines, including PySpark Notebooks and Dataflow Gen2 workflows. Previous experience with Informatica Power Centre is desired. Significant experience in designing, writing, editing, debugging, and testing SQL code 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 »

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 »

V2, Azure Databricks, Azure Function Apps& Logic Apps, Azure Stream Analytics, Azure Resource Manager skills (Terraform, Azure Portal, Az CLI and Az PowerShell) Strong PySpark, Delta Lake, Unity Catalog and Python skills. Includes ability to write unit and integration tests in Python with unittest, pytest, etc. Strong understanding of 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 »

Engineering Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark etc. Experience being customer-facing on numerous data focused projects with a consultative approach Ability to deliver high to low-level designs for Data more »

Engineering Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark etc. Experience being customer-facing on numerous data focused projects with a consultative approach Ability to deliver high to low-level designs for Data more »

Skills and experience we’re looking for: Proven track record productionising data pipelines at scale Hands-on experience or understanding of: Python, Spark (e.g., PySpark, Spark tuning, Spark UI); Data Engineering technologies and principles (e.g., Data Lakes, Batch/Streaming); Cloud technologies and principles (e.g., Kubernetes, EMR, S3) Understanding more »

and ensuring best practices and understood and followed. Technical Skills and Qualifications Expert knowledge in python including libraries/frameworks such as pandas, numpy, pyspark Good understanding of OOP, software design patterns, and SOLID principles Good experience in Docker Good experience in Linux Good experience in Airflow Good knowledge more »

platform, driving cost optimisation opportunities. Provide expertise in AWS monitoring and optimisation, optimising databases and ETL pipelines. Utilise programming languages such as Python and PySpark to transform big data into manageable datasets. Contribute to the development of interactive dashboards and provide expert analysis across program lifecycles. Transform technical data more »

PowerBi would also be useful. Engineer with past experience with Java, Data, and Infrastructure (DevOps). Java is a key skill Programming: Java, Python, PySpark Storage Mechanisms: MongoDB, Redshift, AWS S3 Cloud Environments/Infra: AWS (required), [AWS Lambda, Terraform] (nice to have) Data Platforms: Creating data pipelines within more »

Senior Data Engineer Remote working Salary £65,000 - £70,000 plus benefits DataBricks, PySpark, SQL We are looking for a talented Senior Data Engineer to join one of the UK's leading research and law ranking companies at an exciting time of growth. Build new products, engineer new solutions more »