16 of 16 Remote PySpark Jobs in the South East

team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines and infrastructure on the Azure cloud platform. You will leverage your expertise in PySpark, Apache Spark, and Apache Airflow to process and orchestrate large-scale data workloads, ensuring data quality, efficiency, and scalability. If you have a passion for data engineering and a … make a significant impact, we encourage you to apply! Job Responsibilities ETL/ELT Pipeline Development: Design, develop, and optimize efficient and scalable ETL/ELT pipelines using Python, PySpark, and Apache Airflow. Implement batch and real-time data processing solutions using Apache Spark. Ensure data quality, governance, and security throughout the data lifecycle. Cloud Data Engineering: Manage and … and documentation. Required profile: Requirements Client facing role so strong communication and collaboration skills are vital Proven experience in data engineering, with hands-on expertise in Azure Data Services, PySpark, Apache Spark, and Apache Airflow. Strong programming skills in Python and SQL, with the ability to write efficient and maintainable code. Deep understanding of Spark internals, including RDDs, DataFrames More ❯

UK. In this role, you will be responsible for designing, building, and maintaining robust data pipelines and infrastructure on the Azure cloud platform. You will leverage your expertise in PySpark, Apache Spark, and Apache Airflow to process and orchestrate large-scale data workloads, ensuring data quality, efficiency, and scalability. If you have a passion for data engineering and a … desire to make a significant impact, we encourage you to apply! Job Responsibilities Data Engineering & Data Pipeline Development Design, develop, and optimize scalable DATA workflows using Python, PySpark, and Airflow Implement real-time and batch data processing using Spark Enforce best practices for data quality, governance, and security throughout the data lifecycle Ensure data availability, reliability and performance through … Implement CI/CD pipelines for data workflows to ensure smooth and reliable deployments. Big Data & Analytics: Build and optimize large-scale data processing pipelines using Apache Spark and PySpark Implement data partitioning, caching, and performance tuning for Spark-based workloads. Work with diverse data formats (structured and unstructured) to support advanced analytics and machine learning initiatives. Workflow Orchestration More ❯

technical concepts to a range of audiences. Able to provide coaching and training to less experienced members of the team. Essential Skills: Programming Languages such as Spark, Java, Python, PySpark, Scala or similar (minimum of 2). Extensive Big Data hands-on experience across coding/configuration/automation/monitoring/security is necessary. Significant AWS or Azure … Right to Work in the UK long-term as our client is NOT offering sponsorship for this role. KEYWORDS Lead Data Engineer, Senior Lead Data Engineer, Spark, Java, Python, PySpark, Scala, Big Data, AWS, Azure, On-Prem, Cloud, ETL, Azure Data Fabric, ADF, Databricks, Azure Data, Delta Lake, Data Lake. Please note that due to a high level of More ❯

technical concepts to a range of audiences. Able to provide coaching and training to less experienced members of the team. Essential skills: Programming Languages such as Spark, Java, Python, PySpark, Scala or similar (minimum of 2) Extensive Data Engineering and Data Analytics hands-on experience Significant AWS hands-on experience Technical Delivery Manager skills Geospatial Data experience (including QGIS … support your well-being and career growth. KEYWORDS Principal Geospatial Data Engineer, Geospatial, GIS, QGIS, FME, AWS, On-Prem Services, Software Engineering, Data Engineering, Data Analytics, Spark, Java, Python, PySpark, Scala, ETL Tools, AWS Glue. Please note, to be considered for this role you MUST reside/live in the UK, and you MUST have the Right to Work More ❯

designing and maintaining large-scale data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer, Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and data quality frameworks. Proficiency with BI/reporting tools such as Looker or PowerBI. Excellent communication and stakeholder More ❯

Experience with Agile/Scrum Framework. Excellent problem-solving and analytical skills. Excellent communication skills, both at a deep technical level and stakeholder level. Data Expert experience with Databricks (PySpark). Experience building and maintaining complex ETL Projects, end-to-end (ingestion, processing, storage). Expert knowledge and experience with data modelling, data access, and data storage techniques. Experience More ❯

practice Essential Experience: Proven expertise in building data warehouses and ensuring data quality on GCP Strong hands-on experience with BigQuery, Dataproc, Dataform, Composer, Pub/Sub Skilled in PySpark, Python and SQL Solid understanding of ETL/ELT processes Clear communication skills and ability to document processes effectively Desirable Skills: GCP Professional Data Engineer certification Exposure to Agentic More ❯

business intelligence, reporting, and regulatory needs Lead the integration and optimisation of large-scale data platforms using Azure Synapse and Databricks Build and maintain robust data pipelines using Python (PySpark) and SQL Collaborate with data engineers, analysts, and stakeholders to ensure data quality, governance, and security Ensure all solutions adhere to financial regulations and internal compliance standards Key Skills … Experience: Proven experience as a Data Architect within the financial services sector Hands-on expertise with Azure Synapse Analytics and Databricks Strong programming and data engineering skills in Python (PySpark) and SQL Solid understanding of financial data and regulatory compliance requirements Excellent stakeholder communication and documentation skills More ❯

complex ideas. Proven ability to manage multiple projects and meet deadlines in dynamic environments. Proficiency with SQL Server in high-transaction settings. Experience with either C# or Python/PySpark for data tasks. Hands-on knowledge of Azure cloud services, such as Databricks, Event Hubs, and Function Apps. Solid understanding of DevOps principles and tools like Git, Azure DevOps More ❯

work wimulti-functionalnal teams, including technical and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS or another cloud platform (GCP/Azure) Additional More ❯

re used daily by home builders, mortgage brokers, local councils, and more to make informed property purchasing decisions. We’ve migrated key legacy SQL Server/SSIS pipelines to PySpark and Databricks, and we’re in the home stretch of our modernisation programme. Now we’re looking to unlock the power of our disparate data, and make it accessible … working to high standards of compliance (inc ISO-27001, GDPR), Data Governance, and Information Security Experienced in migrating from SQL based data architectures to modern Data Engineering technologies, using PySpark, Databricks, Terraform, and Pandas Someone able to explore, analyse and understand our data and its uses Ideally experienced in a multi-cloud environment (Databricks across Azure and AWS) solving More ❯

predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW s Radar and Emblem software is preferred Proficient at communicating results in More ❯

predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar and Emblem software is preferred Proficient at communicating results in More ❯

predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar and Emblem software is preferred Proficient at communicating results in More ❯

Tabular Editor Experience with MS Sql Server databases and Azure Synapse Experience and implementation of Azure Data Factory and Sql Server Integration Services pipelines Basic knowledge of Azure Databricks (PYSpark) Attitude for Problem Solving Experience in data and process analysis Work location: Rome with remote work experience At DXC Technology, we believe strong connections and community are key to More ❯

Proven experience as a Programme or Delivery Manager on data-centric programmes Solid understanding of data ingestion processes and Snowflake data warehousing Familiarity with AWS Glue, S3, DBT, SnapLogic, PySpark (not hands-on, but able to converse technically) Strong governance and delivery background in a data/tech environment Excellent communication and stakeholder management skills (must be assertive) Pharma More ❯