19 of 19 Remote PySpark Jobs in the South East

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 ❯

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 ❯

and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. Clear and adaptable communicator, able to More ❯

and monitoring. Data modelling expertise to develop low-level designs and implement models against business requirements, using design patterns such as Inmon, Kimball and Data Vault. Excellent Databricks, Python, PySpark and Spark SQL knowledge, including writing, testing and quality assuring code and knowledge of Unity Catalog best practice to govern data assets as well as Azure and/or More ❯

warehousing techniques, including the Kimball Methodology or other similar dimensional modelling standards, is essential to the role. Technical experience building and deploying models and reports utilizing the following tools: PySpark Microsoft Fabric or Databricks Power BI Git CI/CD pipelines (Azure DevOps experience preferred) An understanding of the structure and purpose of the Financial Advice and Wealth Management More ❯

have: Hands-on experience creating data pipelines using Azure services such as Synapse, Data Factory or Databricks Commercial experience with Microsoft Fabric Strong understanding of SQL and Python/PySpark Experience with Power BI and data modelling Some of the package/role details include: Salary up to £85,000 Flexible hybrid working model (normally once/twice per More ❯

Collaborate with brilliant behavioural scientists and product teams who'll challenge them in the best ways The ideal candidate will: Know their way around AWS data tools (Glue/PySpark, Athena) and Microsoft Fabric Be able to write clean Python and SQL in their sleep Have battle scars from integrating CRMs (HubSpot, Salesforce) via APIs Actually care about data 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 ❯

PowerPoint presentations/reports and presenting to clients or colleagues Industry experience in the retail banking or wider financial services sector Additional technical experience in any of the following – PySpark, Microsoft Azure, VBA, HTML/CSS, JavaScript, JQuery, SQL, PHP, Power Automate, Power BI What we offer A highly competitive salary A genuinely compelling profit share scheme, with the 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 ❯

Senior Data Engineer Salary: Up to £70,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong focus on Microsoft technologies and More ❯

one. What You'll Be 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 decisions. Implementing CI/CD … projects with cutting-edge Microsoft 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/GitHub and Git version More ❯

one. What You'll Be 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 decisions. Implementing CI/CD … projects with cutting-edge Microsoft 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/GitHub and Git version More ❯

and creating scalable AI workflows 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 for: 2-4 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 social, collaborative culture with regular events Work alongside top industry leaders shaping More ❯

driven team of world-class 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 and continuous improvement 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 with tools like Airflow, Databricks or DBT is a plus What's on 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 ❯