18 of 18 Remote Contract PySpark Jobs

reviews and continuous improvement initiatives Essential Skills for the AWS Data Engineer: Extensive hands-on experience with AWS data services Strong programming skills in Python (including libraries such as PySpark or Pandas) Solid understanding of data modelling, warehousing and architecture design within cloud environments Experience building and managing ETL/ELT workflows and data pipelines at scale Proficiency with More ❯

from APIs, databases, and financial data sources into Azure Databricks. Optimize pipelines for performance, reliability, and cost, incorporating data quality checks. Develop complex transformations and processing logic using Spark (PySpark/Scala) for cleaning, enrichment, and aggregation, ensuring accuracy and consistency across the data lifecycle. Work extensively with Unity Catalog, Delta Lake, Spark SQL, and related services. Apply best More ❯

Analytics, Databricks, SQL Database, and Azure Storage. Excellent SQL and data modelling (star/snowflake, dimensional modelling). Knowledge of Power BI dataflows, DAX, and RLS. Experience with Python, PySpark, or T-SQL for transformations. Understanding of CI/CD and DevOps (Git, YAML pipelines). Strong grasp of data governance, security, and performance tuning. To apply for this More ❯

Analytics, Databricks, SQL Database, and Azure Storage. Excellent SQL and data modelling (star/snowflake, dimensional modelling). Knowledge of Power BI dataflows, DAX, and RLS. Experience with Python, PySpark, or T-SQL for transformations. Understanding of CI/CD and DevOps (Git, YAML pipelines). Strong grasp of data governance, security, and performance tuning. To apply for this More ❯

build, and maintain scalable ETL pipelines to ingest, transform, and load data from diverse sources (APIs, databases, files) into Azure Databricks. Implement data cleaning, validation, and enrichment using Spark (PySpark/Scala) and related tools to ensure quality and consistency. Utilize Unity Catalog, Delta Lake, Spark SQL, and best practices for Databricks development, optimization, and deployment. Program in SQL More ❯

ETL/ELT development and orchestration tools (DBT, Airflow, or similar). Hands-on experience with cloud platforms (AWS, Azure, or GCP). Strong knowledge of SQL, Python, and PySpark for data processing. Familiarity with CI/CD pipelines and DevOps practices for data solutions. This role is perfect for someone who thrives on solving complex data challenges and More ❯

modelling techniques + data integration patterns. Experience of working with complex data pipelines, large data sets, data pipeline optimization + data architecture design. Implementing complex data transformations using Spark, PySpark or Scala + working with SQL/MySQL databases. Experience with data quality, data governance processes, Git version control + Agile development environments. Azure Data Engineer certification preferred -eg More ❯

modelling techniques + data integration patterns. Experience of working with complex data pipelines, large data sets, data pipeline optimization + data architecture design. Implementing complex data transformations using Spark, PySpark or Scala + working with SQL/MySQL databases. Experience with data quality, data governance processes, Git version control + Agile development environments. Azure Data Engineer certification preferred -eg More ❯

Azure DevOps. Required Skills & Experience Strong expertise in Power BI, DAX, SQL, and data architecture. Proven experience with Azure Data Factory, Fabric Lakehouse/Warehouse, and Synapse. Proficiency in PySpark, T-SQL, and data transformation using Notebooks. Familiarity with DevOps, ARM/Bicep templates, and semantic modelling. Experience delivering enterprise-scale BI/data warehouse programmes. Exposure to Microsoft More ❯

as a Data Engineer with Active Security Clearance (SC) Strong Python skills with modular, test-driven design Experience with Behave for unit and BDD testing (mocking, patching) Proficiency in PySpark and distributed Data processing Solid understanding of Delta Lake (design and maintenance) Hands-on with Docker for development and deployment Familiarity with Azure services: Functions, Key Vault, Blob Storage More ❯

as a Data Engineer with Active Security Clearance (SC) Strong Python skills with modular, test-driven design Experience with Behave for unit and BDD testing (mocking, patching) Proficiency in PySpark and distributed Data processing Solid understanding of Delta Lake (design and maintenance) Hands-on with Docker for development and deployment Familiarity with Azure services: Functions, Key Vault, Blob Storage More ❯

from a "fail fast" approach to a more stable and controlled iteration management process. To be considered for the post you'll need all the essential criteria Essential SQL Pyspark/Python Power BI/Fabric Semantic Models Ability to work with/alongside stakeholders with their own operational pressures Able to follow best practices and adapt, even without More ❯

from a "fail fast" approach to a more stable and controlled iteration management process. To be considered for the post you'll need all the essential criteria Essential SQL Pyspark/Python >6 months of practical Fabric experience in an Enterprise setting Power BI/Fabric Semantic Models Ability to work with/alongside stakeholders with their own operational More ❯

requirements.* Ensure best practices in data governance, security, and compliance. Key Skills & Experience* Proven experience as an Azure Data Engineer.* Strong hands-on expertise with Databricks - 5+ years experience (PySpark, notebooks, clusters, Delta Lake).* Solid knowledge of Azure services (Data Lake, Synapse, Data Factory, Event Hub).* Experience working with DevOps teams and CI/CD pipelines.* Ability More ❯

and lakehouse architectures on Azure, enabling advanced analytics and data-driven decision making across the business. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. Build and optimise data lakehouse architectures on Azure Data Lake Storage ( ADLS ) . Develop high-performance data solutions using Azure Synapse, Azure Data Factory, and Databricksworkflows … using tools like Terraform, GitHub Actions, or Azure DevOps Required Skills & Experience 3+ years' experience as a Data Engineer working in Azure environments. Strong hands-on experience with Databricks (PySpark, Delta Lake, cluster optimisation, job scheduling). Solid knowledge of Azure cloud services including: Azure Data Lake Storage Azure Data Factory Azure Synapse/SQL Pools Azure Key Vault More ❯

and lakehouse architectures on Azure, enabling advanced analytics and data-driven decision making across the business. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. Build and optimise data lakehouse architectures on Azure Data Lake Storage ( ADLS ) . Develop high-performance data solutions using Azure Synapse, Azure Data Factory, and Databricks … using tools like Terraform, GitHub Actions, or Azure DevOps Required Skills & Experience 3+ years' experience as a Data Engineer working in Azure environments. Strong hands-on experience with Databricks (PySpark, Delta Lake, cluster optimisation, job scheduling). Solid knowledge of Azure cloud services including: Azure Data Lake Storage Azure Data Factory Azure Synapse/SQL Pools Azure Key Vault More ❯

Data Engineer - Active SC, Databricks, PySpark Up to £475 per day (Inside IR35) Remote/London 6 months My client is an International Consultancy who are recruiting for an Data Engineer with Active Security Clearance (SC) and strong Databricks and Azure experience to deliver and optimise Data engineering solutions. Key requirements: Proven experience as a Data Engineer with Active … Security Clearance (SC) Strong experience with Databricks, PySpark and Delta Lake Expertise in Jobs & Workflows, cluster tuning, and performance optimisation Solid understanding of Data governance (Unity Catalog, Lineage, Access Policies) Hands-on with Azure services: Data Lake Storage (Gen2), Key Vault, Azure Functions Familiarity with CI/CD for Databricks deployments Strong troubleshooting in distributed Data environments Excellent communication More ❯

Data Engineer - Active SC, Databricks, PySpark Up to £475 per day (Inside IR35) Remote/London 6 months My client is an International Consultancy who are recruiting for an Data Engineer with Active Security Clearance (SC) and strong Databricks and Azure experience to deliver and optimise Data engineering solutions. Key requirements: Proven experience as a Data Engineer with Active … Security Clearance (SC) Strong experience with Databricks, PySpark and Delta Lake Expertise in Jobs & Workflows, cluster tuning, and performance optimisation Solid understanding of Data governance (Unity Catalog, Lineage, Access Policies) Hands-on with Azure services: Data Lake Storage (Gen2), Key Vault, Azure Functions Familiarity with CI/CD for Databricks deployments Strong troubleshooting in distributed Data environments Excellent communication More ❯