1 to 25 of 151 Remote/Hybrid Permanent PySpark Jobs

optimisation techniques for large‐scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands‐on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Azure Data Factory or Apache Airflow Experience with containerisation ...

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 software ...

Databricks ecosystem. What you'll need: Strong experience building data pipelines using Azure Data Factory, Databricks and Azure Data Lake. Advanced SQL and Python (PySpark) skills for data transformation, automation and optimisation. Hands-on experience with Delta Lake, Spark, Databricks Workflows and Structured Streaming. Knowledge of data warehousing, lakehouse ...

query and manipulate data. Proficiency in cloud data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Factory or AWS equivalents. Spark/Pyspark or Python skills. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. MS Fabric interest, skills or experience a bonus. Willingness ...

Good understanding of modern software platform architecture and the role of the data platform within the broader platform ecosystem Good Scala skills (or strong PySpark plus a genuine willingness to work primarily in Scala) Strong SQL skills for transformations, data modelling, and debugging data issues Experience building and supporting ...

data engineering or integration environments. 8–10 years’ experience in data engineering and integration , ideally in enterprise‐scale environments. Hands‐on experience with Spark (PySpark/SparkSQL) , ETL/ELT design, and data pipeline orchestration . Strong data modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing ...

implications of append/incremental processing for model design. Ability to work effectively with Data Engineering teams using SQL and, ideally, sufficient Python/PySpark literacy to review physical implementation patterns and collaborate on model delivery. Understanding of data product, certified data set and governed self-service concepts, including ...

with Microsoft Fabric technologies including OneLake, Lakehouse, Warehouse, Data Factory, Spark and Power BI. Strong Engineering Skills - You're proficient in SQL, Python and PySpark, with experience developing scalable and maintainable data solutions. Modern Data Platform Experience - You’ve successfully built, enhanced or operated cloud‐based data platforms, ideally ...

deployment automation and infrastructure-as-code practices. What We're Looking For Essential Strong commercial experience building production-grade data pipelines using Apache Spark (PySpark preferred). Experience delivering modern data platforms using Databricks or an equivalent Spark-based platform. Strong SQL skills and experience with data modelling. Good ...

ideally in enterprise-scale environments. Deep expertise in Azure Databricks, Azure Data Factory, Azure Synapse and Azure Data Lake. Hands-on experience with Spark (PySpark/SparkSQL), ETL/ELT design and data pipeline orchestration. Strong data modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts. ...

data engineering or integration environments. 8-10 years' experience in data engineering and integration, ideally in enterprise-scale environments. Hands-on experience with Spark (PySpark/SparkSQL), ETL/ELT design and data pipeline orchestration. Strong data modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts. ...

3+ years with strong Foundry depth). Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. ...

3+ years with strong Foundry depth). Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. ...

Azure Data Lake Storage (ADLS) Azure SQL Database and SQL Server Microsoft Fabric (preferred) Advanced SQL development and performance tuning skills Experience with Python, PySpark, or Scala for data processing Knowledge of data warehousing concepts and dimensional modelling Experience with CI/CD pipelines using Azure DevOps or GitHub ...

scale data platforms,lakehousesand data warehouses. Data modelling and dimensional modelling techniques such as Kimball. ETL/ELT development and large-scale data integration. PySpark, Spark SQL and modern transformation techniques. Advanced SQL and relational databases including SQL Server, PostgreSQL and Oracle. Integrating structured, semi-structured and unstructured data ...

storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You've got a background in software engineering, including Front End technologies like JavaScript. You're a problem-solver, pragmatically exploring options ...

storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’re a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured ...

compliance with security privacy retention and regulatory requirementsYour Skills:Strong handson experience with Azure Databricks and Azure Data FactoryProven expertise in SQL Python and PySpark developmentExtensive experience in designing and implementing enterprisegrade data pipelinesStrong understanding of 3NF and dimensional data modelling principlesExperience designing and implementing Fact Dimension and Bridge ...

such as Claude Code or equivalent tools, to improve engineering productivity while maintaining high standards of quality, governance and security. Desirable experience Regulated environment. PySpark for large-scale data transformations. Migrating legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality ...

such as Claude Code or equivalent tools, to improve engineering productivity while maintaining high standards of quality, governance and security. Desirable experience Regulated environment. PySpark for large-scale data transformations. Migrating legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality ...

process requirements into technical solutions and working across technical and non-technical teams. Nice To Have Skills and Experience Experience with Databricks, Spark/PySpark, Delta Lake or comparable technologies. Experience with Celonis, process mining or process intelligence. Experience with enterprise platforms such as Salesforce, SAP or ServiceNow. Exposure ...

storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You’ve worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options ...

storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options ...

storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering. You’re a problem-solver, pragmatically exploring options and finding effective solutions. An understanding ...

orchestrate the ingestion of data from disparate source systems into a centralised data analytics platform. Designing and implementingdata engineering solutions using T-SQL, Python, PySpark and DBT in the Azurecloud environment. Working with Data Analystsin promoting business logic into DBT data models, to support business reportsand dashboards. Maintaining ...