1 to 21 of 21 PySpark Jobs in the UK with Remote Work Options

Experience developing data pipelines, working with APIs, multiple file formats, and databases. Specific experience with ( most of these ): Fabric, Azure Synapse Analytics, ADLS2, Databricks, PySpark, Python, Azure Data Factory (including metadata-driven pipelines), Azure SQL, Keyvault, Azure Security, Microservices, CI/CD and Azure DevOps Experience mentoring and guiding more »

a Senior Data Engineer with a strong focus on Databricks. Proficiency in Python and SQL for data processing and analysis. Spark Python API/PySpark Hands-on experience with AWS services related to data storage and processing (e.g., S3, Redshift, Glue). In-depth knowledge of Databricks Delta Lake more »

ETL and familiarity with design principles (Apache Airflow is a big plus!)Excellent SQL and data manipulation skills using common frameworks like Spark/PySpark, or similar.Proficiency in a major programming language (e.g. Scala, Python, Golang,..) Experience with business requirements gathering for data sourcing.#LI-Remote #LI-GL1 #USCANUKEUKraken 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 »

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 »

data modelling Technical Skills Proficient in SQL Server and relational database management Experience with cloud platforms like Azure (Synapse, Data Lake) Programming in Python, PySpark, and T-SQL Additional Skills Familiarity with data analysis tools and workflows Strong communication and collaboration skills Experience in fast-paced, team-oriented environments more »

data integration pipelines, transformations, pipeline scheduling, Ontology, and applications in Palantir Foundry Design, develop and deploy data solutions in Palantir with excellent skills in PySpark and Spark SQL for data transformations Experience in designing and building interactive data applications working with Ontology, actions, functions, object views, automate, indexing, data more »

data integration pipelines, transformations, pipeline scheduling, Ontology, and applications in Palantir Foundry Design, develop and deploy data solutions in Palantir with excellent skills in PySpark and Spark SQL for data transformations Experience in designing and building interactive data applications working with Ontology, actions, functions, object views, automate, indexing, data more »

data integration pipelines, transformations, pipeline scheduling, Ontology, and applications in Palantir Foundry Design, develop and deploy data solutions in Palantir with excellent skills in PySpark and Spark SQL for data transformations Experience in designing and building interactive data applications working with Ontology, actions, functions, object views, automate, indexing, data more »

data modelling Technical Skills Proficient in SQL Server and relational database management Experience with cloud platforms like Azure (Synapse, Data Lake) Programming in Python, PySpark, and T-SQL Additional Skills Familiarity with data analysis tools and workflows Strong communication and collaboration skills Experience in fast-paced, team-oriented environments 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 »

Amazon Web Services, Microsoft Azure, Databricks Architectural and/or feature knowledge of one or more of the listed Languages or Packages: Python, R, PySpark, Scala, PowerBI, Tableau To apply please click the "Apply" button and follow the instructions . For a further discussion, please contact Kiera Rance on more »

Amazon Web Services, Microsoft Azure, Databricks Architectural and/or feature knowledge of one or more of the listed Languages or Packages: Python, R, PySpark, Scala, PowerBI, Tableau To apply please click the "Apply" button and follow the instructions . For a further discussion, please contact Kiera Rance on more »

Amazon Web Services, Microsoft Azure, Databricks Architectural and/or feature knowledge of one or more of the listed Languages or Packages: Python, R, PySpark, Scala, PowerBI, Tableau To apply please click the "Apply" button and follow the instructions . For a further discussion, please contact Kiera Rance on 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 »

technical stakeholders. Experience Required: Extensive experience in training, deploying and maintaining Machine Learning models. Data Warehousing and ETL tools. Python and surrounding ML tech; PySpark, Snowflake, Scikit Learn, TensorFlow, PyTorch etc. Infrastructure as Code - Terraform, Ansible. Stakeholder Management - Tech and Non-Technical. The Offer: Base Salary more »

Key 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 more »

Key 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 more »

Key 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 more »

Key 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 more »

Key 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 more »