101 to 125 of 231 Scala Jobs in England

specialized models in Computer Vision and NLP. Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure ...

specialized models in Computer Vision and NLP. Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure ...

specialized models in Computer Vision and NLP. Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure ...

specialized models in Computer Vision and NLP. Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure ...

specialized models in Computer Vision and NLP. Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure ...

specialized models in Computer Vision and NLP. Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure ...

specialized models in Computer Vision and NLP. Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure ...

specialized models in Computer Vision and NLP. Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure ...

specialized models in Computer Vision and NLP. Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure ...

specialized models in Computer Vision and NLP. Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure ...

specialized models in Computer Vision and NLP. Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure ...

similar for automated deployments. Metadata-driven architecture: Proven experience in designing and implementing metadata frameworks. Programming: Proficiency in Python and/or Scala for data engineering tasks ...

years' experience in data engineering and 1+ experience as Lead Data Engineer Proven expertise with Microsoft Azure Strong proficiency in Databricks with hands-on Scala (Spark) and PySpark. Expertise in Databricks for large-scale data engineering and analytics workloads. Design and implement scalable data architectures using Databricks Unity Catalog, Delta ...

years' experience in data engineering and 1+ experience as Lead Data Engineer Proven expertise with Microsoft Azure Strong proficiency in Databricks with hands-on Scala (Spark) and PySpark. Expertise in Databricks for large-scale data engineering and analytics workloads. Design and implement scalable data architectures using Databricks Unity Catalog, Delta ...

years’ experience in data engineering and 1+ experience as Lead Data Engineer Proven expertise with Microsoft Azure Strong proficiency in Databricks with hands-on Scala (Spark) and PySpark . Expertise in Databricks for large-scale data engineering and analytics workloads. Design and implement scalable data architectures using Databricks Unity Catalog ...

frameworks and technologies Experience with data modelling, Databricks, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering skills in Azure Databricks and Microsoft Fabric would be a bonus This new role involves ...

frameworks and technologies Experience with data modelling, Databricks, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering skills in Azure Databricks and Microsoft Fabric would be a bonus This new role involves ...

trading , risk , or market data (not back-office finance or regulatory reporting). Proficiency in SQL and at least one programming language (e.g., Python, Scala). Experience with BI tools such as Power BI, Tableau, or Qlik. Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and modern data architectures. Desirable ...

Strong problem-solving and analytical mindset Experience designing and delivering data pipelines within big data architectures Hands-on experience with Java, Python, Scala, Spark and SQL Experience extracting and transforming data via APIs, scripts and SQL queries Experience processing large-scale data sets and integrating multiple data sources ...

warehousing approaches. Experience deploying data-processing platforms from major vendors such as AWS, Azure, GCP, or Databricks. Proficiency in one or more of Java, Scala or Python, with the ability to contribute hands-on when required. A demonstrable commitment to developing people through coaching, mentoring, and team leadership. Desirable Skills ...

warehousing approaches. Experience deploying data-processing platforms from major vendors such as AWS, Azure, GCP, or Databricks. Proficiency in one or more of Java, Scala or Python, with the ability to contribute hands-on when required. A demonstrable commitment to developing people through coaching, mentoring, and team leadership. Desirable Skills ...

tools like JMeter, Gatling, K6, Neoload, or Webload . Strong coding skills in at least one language such as Java, TypeScript JavaScript, Python, C#, , Scala, or PHP. Experience designing and building automation frameworks . Familiarity with Agile development environments (SCRUM, Kanban, TDD, BDD). Implementing pipelines using common tooling such ...

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 concepts clearly to both technical and non-technical stakeholders using appropriate ...

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 concepts clearly to both technical and non-technical stakeholders using appropriate ...

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 concepts clearly to both technical and non-technical stakeholders using appropriate ...