1 to 25 of 39 PySpark Jobs in the South East

Engineering, with a minimum of 3 years of hands-on Azure Databricks experience delivering production-grade solutions. Strong programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ ...

Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong ...

Fabric. Migrate on-prem data to Fabric Lakehouse/Warehouse, enabling Power BI analytics. Develop robust data pipelines, notebooks, and data models using: Python, PySpark, SQL, Synapse, and Data Warehousing principles. Implement CI/CD processes with GitHub integration for lifecycle management. Ensure governance, security, and best practices across ...

Fabric. Migrate on-prem data to Fabric Lakehouse/Warehouse, enabling Power BI analytics. Develop robust data pipelines, notebooks, and data models using: Python, PySpark, SQL, Synapse, and Data Warehousing principles. Implement CI/CD processes with GitHub integration for lifecycle management. Ensure governance, security, and best practices across ...

office. About you: You have strong Python backend software engineer skills You have experience working with large data sets You have experience of using PySpark and ideally also Apache Spark You believe in automating wherever possible You're a collaborative problem solver with great communication skills Other technology ...

efficient deployments and robust system performance. Working within Azure, you'll integrate advanced analytics platforms like Databricks and build data pipelines using Python and PySpark to support large-scale processing. The position also involves optimising data models, delivering insights through Power BI, and managing relational data with SQL. Collaboration ...

Responsibilities Design, develop, and optimize end-to-end data pipelines using Azure services Build and maintain scalable ETL/ELT workflows using Azure Databricks (PySpark/SQL) Develop and manage data warehouses and analytics solutions using Azure Synapse Analytics Ingest data from multiple sources (APIs, databases, files, streaming sources … pipelines, and operational processes Required Qualifications 3+ years of experience as a Data Engineer or in a similar role Strong experience with Azure Databricks (PySpark, Spark SQL) Hands-on experience with Azure Synapse Analytics (dedicated and/or serverless pools) Solid understanding of data warehousing concepts and dimensional modeling ...

ensuring solutions meet regulatory standards and align with architectural best practices. Key Responsibilities: Build and optimise scalable data pipelines using Databricks and Apache Spark (PySpark). Ensure performance, scalability, and compliance. Collaborate on requirements, design, and backlog refinement. Promote engineering best practices including CI/CD, code reviews ...

build skills and knowledge relevant to the role. Essential Skills Experience of using a unified engine for large-scale data analytics (e.g. Spark/PySpark) Experience in writing, testing and implementing scripts (e.g. Python, Scala) Experience of cloud data stack use (e.g. SageMaker Notebooks, S3, Glue, Athena) Communicating technical ...

Continuously improve data systems and maintain awareness of best practice and emerging approaches Essential Skills Experience with large-scale analytics engines (e.g. Spark/PySpark) and scripting languages such as Python or Scala. Hands-on use of cloud data stacks (e.g. SageMaker Notebooks, S3, Glue, Athena) and modern storage ...

large-scale data processing. Hands-on experience with Databricks and Azure. Strong stakeholder communication and problem-solving skills. Tech Stack Required: Databricks DBT Python PySpark SQL Azure Bonus: Experience in eCommerce environments. If you are interested please apply below ...

across multiple time zones, including offshore development teams Skills required: Proven track record building scalable data pipelines (batch and streaming) in production Expert Python, PySpark, Celery and RabbitMQ skills; deep experience with AWS data stack (Glue, OpenSearch, RDS) Expert skills within SQL with experience in both transactional RDBMS systems ...

have delivered ML techniques to existing pricing models. Financial Services or Insurance experience would be preferable but not limited to. Full Tech Stack - Databricks, PySpark, Microsoft Azure, Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, Data Factory. This is a fantastic role for an experienced Machine Learning ...

governance , schema validation, and master data management. Strong grasp of real-time vs batch processing trade-offs . Beneficial Experience CockroachDB deployment and management. PySpark or similar for large-scale processing. SAP data structures and PIM systems. E-commerce and B2B data integration patterns. Why Apply? Fully remote contract ...

client meetings (approx. 2 short trips per quarter). Desirable Experience with B2B products and enterprise-scale data solutions. Knowledge of Spark SQL, PySpark, and related ML libraries. Exposure to distributed data platforms (e.g., Hive, Databricks) and cloud services (AWS preferred). Understanding of advanced AI concepts such ...

models and manages controlled, production-grade releases to ensure platform stability, scalability, and trusted analytics consumption. Key Responsibilities Design, govern, and operationalize Fabric pipelines, PySpark transformations, and Lakehouse-based Medallion architecture. Translate business requirements and approved data roadmaps into executable technical designs, sprint backlogs, and production-grade delivery plans. ...

able to learn new technologies or concepts quickly: Deep experience with Databricks on Microsoft Azure, including Delta Lake, Unity Catalog, Delta Live Tables, PySpark and Databricks SQL, alongside complementary services such as Azure Data Factory, Synapse Analytics, and Microsoft Fabric. Designing and implementing Lakehouse architectures in Databricks to unify … Databricks notebooks, Delta Live Tables, Databrick Jobs and integration with Azure Data Factory for enterprise-scale data ingestion and transformation. Proficiency in Python and PySpark for advanced data engineering, machine learning, and large-scale distributed processing within Databricks. Hands-on experience with Spark optimizations (Adaptive Query Execution, caching, partitioning ...

Dependent on experience. Required experience will include: Strong Python Programming skills. Strong design and development skills using Python. Python's libraries for machine learning: PySpark, Pytorch, scikit-learn and pandas. Technical experience using Databricks and MLFlow (Other Platforms can be considered). Good understanding of software code review standards ...

complex operational challenges. You'll design and implement scalable generative AI workflows, often using technologies like Palantir AIP, while building robust data pipelines with PySpark, Python, and SQL. A key responsibility is executing sophisticated data integrations across distributed systems and enterprise environments, including ERPs and CRMs. You'll collaborate ...

Design, develop, and optimise data pipelines for large datasets from multiple sources (APIs, databases, financial data providers). Implement complex data transformations using Spark (PySpark or Scala) and other tools. Work extensively with Azure Databricks, including Unity Catalog, Delta Lake, and Spark SQL. Ensure data quality, consistency, and governance … Automate deployments and implement DevOps best practices, including CI/CD pipelines. Tech Stack & Skills Azure Databricks (3+ years hands-on) Python and Spark (PySpark) or Scala SQL/NoSQL databases Azure Data Factory, Blob Storage, Azure SQL Database Data pipeline optimisation & architecture design Streaming data: Kafka or Azure ...

With a focus on intuitive front-end creation, robust backendFrameworks and strong data design Lead, a globally dispersed team Experience with AWS, Databricks, DBT, PySpark, React, JavaScript Terraform. Experience with AI/ML/Gen AI/LLM What you need to do now If you're interested ...

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 ...

data-driven decisions, while learning from experienced team members and developing your technical and business skills. Key Responsibilities: Build and maintain data pipelines, leveraging PySpark and/or Typescript within Foundry, to transform raw data into reliable, usable datasets. Familiarity with Palantir Foundry, PySpark, Kafka, TypeScript, PowerBI preferable. … years of experience building data pipelines at work or through internships is helpful. You can write clear and reliable Python/PySpark code. You are familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud ...

data-driven decisions, while learning from experienced team members and developing your technical and business skills. Key Responsibilities: Build and maintain data pipelines, leveraging PySpark and/or Typescript within Foundry, to transform raw data into reliable, usable datasets. Familiarity with Palantir Foundry, PySpark, Kafka, TypeScript, PowerBI preferable. … years of experience building data pipelines at work or through internships is helpful. You can write clear and reliable Python/PySpark code. You are familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud ...

junior & Mid Data Engineers on the best practices when building and managing data infrastructure, including data lakes, warehouses, and distributed processing systems (e.g., PySpark, Hadoop). Data Preparation: Collaborate with data scientists to prepare and transform raw data into formats suitable for machine learning, including feature engineering and data … inclusive team environment that encourages continuous learning and improvement. Your Profile Essential skills/knowledge/experience: Knowledge of machine learning frameworks (e.g., PySpark, PyTorch) and model deployment tools (e.g., MLflow, TensorFlow Serving). Strong experience with data processing frameworks (e.g., Apache Spark, Flink). Expertise ...