51 to 75 of 77 Remote PySpark Jobs

tactical execution with strategic vision. - Drive standardization and automation of reporting across pricing KPIs. DIMENSIONS AND ASPECTS Technical expertise : Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. Analytical leadership : Demonstrated ability to proactively identify

tactical execution with strategic vision. - Drive standardization and automation of reporting across pricing KPIs. DIMENSIONS AND ASPECTS Technical expertise : Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. Analytical leadership : Demonstrated ability to proactively identify

tactical execution with strategic vision. - Drive standardization and automation of reporting across pricing KPIs. DIMENSIONS AND ASPECTS Technical expertise : Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. Analytical leadership : Demonstrated ability to proactively identify

tactical execution with strategic vision. - Drive standardization and automation of reporting across pricing KPIs. DIMENSIONS AND ASPECTS Technical expertise : Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. Analytical leadership : Demonstrated ability to proactively identify

tactical execution with strategic vision. - Drive standardization and automation of reporting across pricing KPIs. DIMENSIONS AND ASPECTS Technical expertise : Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. Analytical leadership : Demonstrated ability to proactively identify

tactical execution with strategic vision. - Drive standardization and automation of reporting across pricing KPIs. DIMENSIONS AND ASPECTS Technical expertise : Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. Analytical leadership : Demonstrated ability to proactively identify

tactical execution with strategic vision. - Drive standardization and automation of reporting across pricing KPIs. DIMENSIONS AND ASPECTS Technical expertise : Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. Analytical leadership : Demonstrated ability to proactively identify

tactical execution with strategic vision. - Drive standardization and automation of reporting across pricing KPIs. DIMENSIONS AND ASPECTS Technical expertise : Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. Analytical leadership : Demonstrated ability to proactively identify

tactical execution with strategic vision. - Drive standardization and automation of reporting across pricing KPIs. DIMENSIONS AND ASPECTS Technical expertise : Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. Analytical leadership : Demonstrated ability to proactively identify

solid DWH development experience with SAS, SQL, and ETL frameworks, and is motivated to evolve toward modern data engineering practices (e.g., Databricks, Delta Lake, PySpark, CI/CD). This is a unique opportunity to help shape the next-generation data platform for one of Europe's leading Asset … with data architects and platform engineers to define target-state models, ingestion patterns, and metadata-driven frameworks. • Migrate and refactor SAS ETL logic into PySpark/SQL on Databricks following best practices. • Contribute to data quality, reconciliation, and test automation for migrated datasets. What you bring • 5+ years' experience

solid DWH development experience with SAS, SQL, and ETL frameworks, and is motivated to evolve toward modern data engineering practices (e.g., Databricks, Delta Lake, PySpark, CI/CD). This is a unique opportunity to help shape the next-generation data platform for one of Europe's leading Asset … with data architects and platform engineers to define target-state models, ingestion patterns, and metadata-driven frameworks. • Migrate and refactor SAS ETL logic into PySpark/SQL on Databricks following best practices. • Contribute to data quality, reconciliation, and test automation for migrated datasets. What you bring • 5+ years' experience

that form the backbone of our Lakehouse platform, enabling accurate analytics, reporting, and regulatory compliance. You'll work with cutting-edge technologies including Databricks , PySpark , and Azure Data Factory , applying best practices in data engineering and governance to support this critical programme. Lead Databricks Engineer: Key Responsibilities Build … maintain Databricks pipelines (batch and incremental) using PySpark and SQL. Orchestrate end-to-end workflows with Azure Data Factory . Develop and optimise Delta Lake tables (partitioning, schema evolution, vacuuming). Implement Medallion Architecture (Bronze, Silver, Gold) for transforming raw data into business-ready datasets. Apply robust monitoring, logging

Senior Data Engineer Salary: Up to £70,000 I am working with a forward-thinking organisation that is modernising its

Title: SC Cleared Python Data Engineer - Azure & PySpark Contract Type: 12 Month Contract Day Rate: Up to £400 a day inside IR35 Location: Remote or hybrid (as agreed) Start Date: January 5th 2026 Clearance required: Must be holding active SC Clearance Overview We are seeking an experienced Python Data … Azure-based data pipelines. The focus of this role is to deliver scalable, test-driven, and configuration-driven data processing solutions using Python, PySpark, Delta Lake, and containerised workloads. This opportunity sits within a fast-paced engineering environment working closely with cloud, DevOps, and data science teams. Client details

Your new company This is a pivotal opportunity to join the Data and Innovation division of a large complex organisation

optimise large-scale data workflows within the Databricks Data Intelligence Platform. The role focuses on delivering high-performing batch and streaming pipelines using PySpark, Delta Lake, and Azure services, with additional emphasis on governance, lineage tracking, and workflow orchestration. Client information remains confidential. Key Responsibilities Build and orchestrate Databricks … execution, scaling, and caching Conduct performance benchmarking and cost optimisation across workloads Implement data quality, lineage, and governance practices aligned with Unity Catalog Develop PySpark-based ETL and transformation logic using modular, reusable coding standards Create and manage Delta Lake tables with ACID compliance, schema evolution, and time travel

Design end-to-end data architectures using Medallion (Bronze/Silver/Gold) patterns Build metadata-driven ingestion pipelines and transformation frameworks Develop advanced PySpark/Spark SQL notebooks for data cleansing and modelling Create production-ready semantic models and support BI teams Implement governance, security, and CI/… clients to translate business requirements into technical solutions Essential Skills Strong experience with Microsoft Fabric workloads (Lakehouse, Data Factory, Pipelines, Notebooks, Semantic Models) Advanced PySpark/Spark SQL for large-scale transformations Integration with Dynamics 365, Dataverse, and/or Business Central CI/CD implementation using Azure DevOps

Design end-to-end data architectures using Medallion (Bronze/Silver/Gold) patterns Build metadata-driven ingestion pipelines and transformation frameworks Develop advanced PySpark/Spark SQL notebooks for data cleansing and modelling Create production-ready semantic models and support BI teams Implement governance, security, and CI/… clients to translate business requirements into technical solutions Essential Skills Strong experience with Microsoft Fabric workloads (Lakehouse, Data Factory, Pipelines, Notebooks, Semantic Models) Advanced PySpark/Spark SQL for large-scale transformations Integration with Dynamics 365, Dataverse, and/or Business Central CI/CD implementation using Azure DevOps

Doing Designing end-to-end Microsoft Fabric architectures using the Medallion pattern. Building metadata-driven ingestion pipelines and optimising Delta Lake performance. Writing advanced PySpark/Spark SQL notebooks for large-scale transformations. Developing semantic models for enterprise reporting and enabling Direct Lake. Leading client workshops and guiding technical … technologies. What We're Looking For Hands-on experience with Microsoft Fabric workloads: Lakehouse, Data Factory, Pipelines, Notebooks, Delta Lake, Eventstreams, Semantic Models. Advanced PySpark/Spark SQL skills and strong data engineering fundamentals. Integration experience with Dynamics 365, Dataverse, Business Central. CI/CD expertise with Azure DevOps

Doing Designing end-to-end Microsoft Fabric architectures using the Medallion pattern. Building metadata-driven ingestion pipelines and optimising Delta Lake performance. Writing advanced PySpark/Spark SQL notebooks for large-scale transformations. Developing semantic models for enterprise reporting and enabling Direct Lake. Leading client workshops and guiding technical … technologies. What We're Looking For Hands-on experience with Microsoft Fabric workloads: Lakehouse, Data Factory, Pipelines, Notebooks, Delta Lake, Eventstreams, Semantic Models. Advanced PySpark/Spark SQL skills and strong data engineering fundamentals. Integration experience with Dynamics 365, Dataverse, Business Central. CI/CD expertise with Azure DevOps

that bring real business impact. What you'll do: Deploy and customise a powerful data platform for global clients Build and optimise pipelines using PySpark, Python, and SQL Design scalable AI workflows with tools like Palantir Collaborate with client teams to deliver data-driven outcomes What we're looking … years' experience in data engineering or analytics Hands-on with PySpark, Python, and SQL A proactive problem-solver who thrives in a fast-moving startup Excellent communication and stakeholder skills Why join: £50,000-£75,000 + share options Hybrid working (2-3 days/week in Soho) Highly

Restriction) Rate: $60/hr (Vendor) Position Overview We are seeking an experienced Senior Data Engineer with strong hands-on expertise in Python, PySpark, Object-Oriented Programming, and Big Data technologies. The selected candidate will be responsible for enhancing and developing new features for an existing data processing framework … detail-oriented, and capable of working independently with minimal supervision. Key Responsibilities Design, develop, and implement new features within an existing data framework using PySpark and Python. Build standalone data transformation scripts using business rules and logic. Work with large-scale data processing pipelines and optimize performance. Troubleshoot complex

technologists and business leaders working at the forefront of innovation and real-world impact. In this role, you will: Deliver complex data projects using PySpark and modern data tools Build scalable generative AI workflows using modern infrastructure Collaborate cross-functionally to ensure seamless delivery and adoption Drive innovation … across client engagements To be successful in this role, you will have: Proven experience in data engineering or integration Strong proficiency in Python and PySpark Exposure to generative AI platforms or a passion for building AI-powered solutions Ability to lead client delivery in dynamic, fast-paced environments Familiarity

technologists and business leaders working at the forefront of innovation and real-world impact. In this role, you will: Deliver complex data projects using PySpark and modern data tools Build scalable generative AI workflows using modern infrastructure Collaborate cross-functionally to ensure seamless delivery and adoption Drive innovation … across client engagements To be successful in this role, you will have: Proven experience in data engineering or integration Strong proficiency in Python and PySpark Exposure to generative AI platforms or a passion for building AI-powered solutions Ability to lead client delivery in dynamic, fast-paced environments Familiarity

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. … 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