18 of 18 Remote PySpark Jobs in the South East

an impact, get in touch ASAP as interviews are already taking place. Don't miss out! Key Skills: AWS, Data, Architecture, Data Engineering, Data Warehousing, Data Lakes, Databricks, Glue, Pyspark, Athena, Python, SQL, Machine Learning, London More ❯

including Azure DevOps or GitHub 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 understanding and or use of More ❯

Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Skillset Required: Experience in Python, PySpark and SQL Experience with AWS is a plus Strong proficiency in Core Java, including Collections, Concurrency, and Memory Management. Proficient in version control systems such as Git, GitLab, or More ❯

Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Skillset Required: Experience in Python, PySpark and SQL Experience with AWS is a plus Strong proficiency in Core Java, including Collections, Concurrency, and Memory Management. Proficient in version control systems such as Git, GitLab, or More ❯

Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Skillset Required: Experience in Python, PySpark and SQL Experience with AWS is a plus Strong proficiency in Core Java, including Collections, Concurrency, and Memory Management. Proficient in version control systems such as Git, GitLab, or More ❯

and validate data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary of More ❯

and validate data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary of More ❯

and validate data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary of More ❯

in building scalable data solutions that empower market readiness. 3 months initial contract Remote working ( UK based) Inside IR35 Responsibilities Design, develop, and maintain data pipelines using Palantir Foundry, PySpark, and TypeScript. Collaborate with cross-functional teams to integrate data sources and ensure data quality and consistency. Implement robust integration and unit testing strategies to validate data workflows. Engage More ❯

for a hands-on Senior Data Engineer who thrives in technically complex environments and enjoys solving large-scale data pipeline challenges. You'll work with tools like AWS Glue, PySpark, Iceberg, Databricks, and Snowflake , collaborating with data scientists and stakeholders across multiple business units. Key Responsibilities: Design, build, and maintain scalable data pipelines and architectures. Implement secure and efficient … initiatives. Act as a subject matter expert, guiding technical direction and mentoring junior engineers. What We're Looking For: Strong hands-on experience with AWS data engineering tools: Glue, PySpark, Athena, Iceberg, Lake Formation , etc. Proficiency in Python and SQL for data processing and analysis. Deep understanding of data governance, quality, and security best practices. Experience working with market More ❯

for a hands-on Senior Data Engineer who thrives in technically complex environments and enjoys solving large-scale data pipeline challenges. You'll work with tools like AWS Glue, PySpark, Iceberg, Databricks, and Snowflake , collaborating with data scientists and stakeholders across multiple business units. Key Responsibilities: Design, build, and maintain scalable data pipelines and architectures. Implement secure and efficient … initiatives. Act as a subject matter expert, guiding technical direction and mentoring junior engineers. What We're Looking For: Strong hands-on experience with AWS data engineering tools: Glue, PySpark, Athena, Iceberg, Lake Formation , etc. Proficiency in Python and SQL for data processing and analysis. Deep understanding of data governance, quality, and security best practices. Experience working with market More ❯

Provide hands-on support for production environments, ensuring the stability and performance of data workflows. Troubleshoot and resolve issues related to data pipelines and integrations built using Palantir Foundry, PySpark, and TypeScript. Collaborate with engineering and business teams to understand requirements and deliver timely solutions. Support and improve continuous integration (CI) processes to streamline deployment and reduce downtime. Communicate 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 (minimum of 2). Extensive Data Engineering hands-on experience (coding, configuration, automation, delivery, monitoring, security). ETL Tools such as Azure Data Fabric (ADF) and Databricks or … UK, and you MUST have the Right to Work in the UK long-term without the need for Company Sponsorship. KEYWORDS Senior Data Engineer, Coding Skills, Spark, Java, Python, PySpark, Scala, ETL Tools, Azure Data Fabric (ADF), Databricks, HDFS, Hadoop, Big Data, Cloudera, Data Lakes, Azure Data, Delta Lake, Data Lake, Databricks Lakehouse, Data Analytics, SQL, Geospatial Data, FME 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 … the Right to Work in the UK long-term as our client is NOT offering sponsorship for this role. KEYWORDS Lead Data Engineer, Senior Data Engineer, Spark, Java, Python, PySpark, Scala, Big Data, AWS, Azure, Cloud, On-Prem, ETL, Azure Data Fabric, ADF, Hadoop , HDFS , Azure Data, Delta Lake, Data Lake Please note that due to a high level 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 ❯

with a focus on performance, scalability, and reliability. Responsibilities Design and implement robust data migration pipelines using Azure Data Factory, Synapse Analytics, and Databricks Develop scalable ETL processes using PySpark and Python Collaborate with stakeholders to understand legacy data structures and ensure accurate mapping and transformation Ensure data quality, governance, and performance throughout the migration lifecycle Document technical processes … and support knowledge transfer to internal teams Required Skills Strong hands-on experience with Azure Data Factory, Synapse, Databricks, PySpark, Python, and SQL Proven track record in delivering data migration projects within Azure environments Ability to work independently and communicate effectively with technical and non-technical stakeholders Previous experience in consultancy or client-facing roles is advantageous More ❯

Data Engineer | Fabric | Azure | Python | SQL | PySpark Senior Data Engineer - Up to £90,000 Hybrid Working - 1 day per fortnight in office Method Resourcing are thrilled to be partnering with a rapidly scaling business who are preparing to embark on a greenfield Fabric implementation to unify data platforms and analytics across the business. To achieve this, they are looking … roadmap for the business. The ideal candidate will have commercial hands-on experience implementing Fabric into a business and come from an Azure background, with expertise in Python/PySpark and SQL development. The role is paying up to £100,000 and is offered on a hybrid model, 1 day per fortnight in the London office. RSG Plc is More ❯

Do Build & optimise recommendation/personalisation models . Drive incremental targeting beyond repeat-purchase patterns. Apply predictive analytics to customer behaviour & purchase history. Use Python (essential), SQL , and ideally PySpark to deliver insights. Collaborate with Product, Content, and Data Science to align models with business goals. Translate data into clear, actionable insights. (Bonus) Explore AI-driven ad content opportunities. … What We're Looking For Proven experience with predictive modelling/recommender systems . Strong Python & SQL skills (essential). Exposure to PySpark (desirable). Strong communicator with ability to link data to business outcomes. (Bonus) Experience with Generative AI or content automation. More ❯