1 to 25 of 40 PySpark Jobs in England with Remote Work Options

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 »

experience with data modelling, data warehousing, and ETL/ELT processes.A fluency and development experience in at least one of the following: Java, Python, PySpark or Scala.Experience working with a variety of data formats such as JSON, Parquet, XML etc.Experience with or developed understanding of the application of ETL 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 »

warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the data pipeline. Strong programming skills in technologies like Python, Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline more »

warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the data pipeline. Strong programming skills in technologies like Python, Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline 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 »

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 »

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 »

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 »

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 »

learning, probability, statistics, and quantitative risk modelling. High proficiency in Python and SQL. Experience with big data technologies and tools such as Databricks and PySpark is highly desirable. Essential experience in Probabilistic Risk Modelling. Highly desirable experience with Monte Carlo, Capula, Gamma, Statistical modelling, financial modelling, and Stochastic modelling. 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 »

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 »

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 »

Modeling within a cloud-based data platform Strong experience with SQL Server Azure data engineering stack, including Azure Synapse and Azure Data Lake Python, PySpark and T-SQL In return you will be offered a competitive salary and benefits package, remote working options and an opportunity to work with more »

scientific Python toolset. Our tech stack includes Airbyte for data ingestion, Prefect for pipeline orchestration, AWS Glue for managed ETL, along with Pandas and PySpark for pipeline logic implementation. We utilize Delta Lake and PostgreSQL for data storage, emphasizing the importance of data integrity and version control in our … testing frameworks. Proficiency in Python and familiarity with modern software engineering practices, including 12factor, CI/CD, and Agile methodologies. Deep understanding of Spark (PySpark), Python (Pandas), orchestration software (e.g. Airflow, Prefect) and databases, data lakes and data warehouses. Experience with cloud technologies, particularly AWS Cloud services, with a 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 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 »

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 »

experience in Data Modeling within a cloud-based data platformStrong experience with SQL ServerAzure data engineering stack, including Azure Synapse and Azure Data LakePython, PySpark and T-SQL In return you will be offered a competitive salary and benefits package, remote working options and an opportunity to work with 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 »

to d.moore1@nigelfrank.com or alternatively, give me a call on 0191 338 7577 Key Skills:Microsoft, Azure, Data Factory, Data Lake, Synapse, Data bricks, PySpark, Python, Scala, Data modelling, Data ingestion, Delta Lake, SQL, ETLJob SummaryUp to 70,000 GBPDeveloper/Programmer RoleSkills: Microsoft, Azure, Data Factory, Data Lake … Synapse, Data bricks, PySpark, Python, Scala, Data modelling, Data ingestion, Delta Lake, SQL, ETLLevel: Senior 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 »