9 of 9 Apache Spark Jobs in the Thames Valley

in data engineering, architecture, or platform management roles, with 5+ years in leadership positions. Expertise in modern data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Spark, Kafka, Hadoop). Strong knowledge of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands More ❯

e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional More ❯

e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional More ❯

management and monitoring. Hands-on experience with AWS Have a good grasp of IaC (Infrastructure-as-code) tools like Terraform and CloudFormation. Previous exposure to additional technologies like Python, Spark, Docker, Kubernetes is desirable. Ability to develop across a diverse technology stack and willingness and ability to take on new technologies. Demonstrated experience participating on cross functional teams in More ❯

management and monitoring. Hands-on experience with AWS Have a good grasp of IaC (Infrastructure-as-code) tools like Terraform and CloudFormation. Previous exposure to additional technologies like Python, Spark, Docker, Kubernetes is desirable. Ability to develop across a diverse technology stack and willingness and ability to take on new technologies. Demonstrated experience participating on cross functional teams in More ❯

equivalent performance management tools. Experience with one or more of the following data tools: Tableau, Foresight, GCP or SQL The other stuff we are looking for Shell scripting, Python, Spark, HIVE, NiFi, Hortonworks/Cloudera DataFlow, HDFS. What's in it for you Our goal is to celebrate our people, their lives and everything in-between. We aim to More ❯

equivalent performance management tools. Experience with one or more of the following data tools: Tableau, Foresight, GCP or SQL The other stuff we are looking for Shell scripting, Python, Spark, HIVE, NiFi, Hortonworks/Cloudera DataFlow, HDFS. What's in it for you Our goal is to celebrate our people, their lives and everything in-between. We aim to More ❯

join on a contract basis to support major digital transformation projects with Tier 1 banks. You'll help design and build scalable, cloud-based data solutions using Databricks , Python , Spark , and Kafka -working on both greenfield initiatives and enhancing high-traffic financial applications. Key Skills & Experience: Strong hands-on experience with Databricks , Delta Lake , Spark Structured Streaming , and More ❯

ability to explain 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 … you MUST have 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 More ❯