19 of 19 Apache Spark Jobs in Yorkshire

platforms such as AWS, Azure, or GCP. Exposure to modern data tools such as Snowflake, Databricks, or BigQuery. Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage. Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform. What ...

project management tools (JIRA or similar) in an agile environment. Familiarity with other ML Ops tools (Kubeflow, MLflow, etc.) or big data processing frameworks (Spark) can be an added advantage Rewards and Benefits We believe in supporting our employees in both their professional and personal lives. As part ...

project management tools (JIRA or similar) in an agile environment. Familiarity with other ML Ops tools (Kubeflow, MLflow, etc.) or big data processing frameworks (Spark) can be an added advantage Rewards and Benefits We believe in supporting our employees in both their professional and personal lives. As part ...

project management tools (JIRA or similar) in an agile environment. Familiarity with other ML Ops tools (Kubeflow, MLflow, etc.) or big data processing frameworks (Spark) can be an added advantage Rewards and Benefits We believe in supporting our employees in both their professional and personal lives. As part ...

project management tools (JIRA or similar) in an agile environment. Familiarity with other ML Ops tools (Kubeflow, MLflow, etc.) or big data processing frameworks (Spark) can be an added advantage Rewards and Benefits We believe in supporting our employees in both their professional and personal lives. As part ...

project management tools (JIRA or similar) in an agile environment. Familiarity with other ML Ops tools (Kubeflow, MLflow, etc.) or big data processing frameworks (Spark) can be an added advantage Rewards and Benefits We believe in supporting our employees in both their professional and personal lives. As part ...

project management tools (JIRA or similar) in an agile environment. Familiarity with other ML Ops tools (Kubeflow, MLflow, etc.) or big data processing frameworks (Spark) can be an added advantage Rewards and Benefits We believe in supporting our employees in both their professional and personal lives. As part ...

project management tools (JIRA or similar) in an agile environment. Familiarity with other ML Ops tools (Kubeflow, MLflow, etc.) or big data processing frameworks (Spark) can be an added advantage Rewards and Benefits We believe in supporting our employees in both their professional and personal lives. As part ...

control. Excellent collaboration and communication skills, with strong attention to detail and data quality. Desirable: Exposure to AI/ML data preparation, Python or Spark, Data Vault 2.0, data governance, GDPR, and experience working in mobility, logistics, financial services, or tech-enabled environments. What ...

modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit … risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing ...

modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit … risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing ...

compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse ...

analytics tools Familiarity with industry common BI and ETL solutions Hands-on experience in a technical role leveraging SQL, Python, Java and/or Spark to build, operate and maintain data analytics solutions Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum ...

analytics tools Familiarity with industry common BI and ETL solutions Hands-on experience in a technical role leveraging SQL, Python, Java and/or Spark to build, operate and maintain data analytics solutions Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum ...

analytics tools Familiarity with industry common BI and ETL solutions Hands-on experience in a technical role leveraging SQL, Python, Java and/or Spark to build, operate and maintain data analytics solutions Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum ...

your specific data industry experience to keep our curriculum cutting-edge. This involves iterating on materials to reflect modern stacks (e.g. cloud data engineering, Apache Airflow, Kafka). You will collaborate with the Curriculum team to design highly effective educational experiences that give learners the AI and Data skills … data modelling, and managing data warehouses (experience with DBT is a plus). Pipelines & Orchestration: Familiarity with building data pipelines, covering batch processing (e.g., Apache Airflow) and an understanding of stream processing (e.g., Kafka/Spark). Data Statistics & Analytics: A strong grasp of statistical concepts (distributions, regression ...

your specific data industry experience to keep our curriculum cutting-edge. This involves iterating on materials to reflect modern stacks (e.g. cloud data engineering, Apache Airflow, Kafka). You will collaborate with the Curriculum team to design highly effective educational experiences that give learners the AI and Data skills … data modelling, and managing data warehouses (experience with DBT is a plus). Pipelines & Orchestration: Familiarity with building data pipelines, covering batch processing (e.g., Apache Airflow) and an understanding of stream processing (e.g., Kafka/Spark). Data Statistics & Analytics: A strong grasp of statistical concepts (distributions, regression ...

your specific data industry experience to keep our curriculum cutting-edge. This involves iterating on materials to reflect modern stacks (e.g. cloud data engineering, Apache Airflow, Kafka). You will collaborate with the Curriculum team to design highly effective educational experiences that give learners the AI and Data skills … data modelling, and managing data warehouses (experience with DBT is a plus). Pipelines & Orchestration: Familiarity with building data pipelines, covering batch processing (e.g., Apache Airflow) and an understanding of stream processing (e.g., Kafka/Spark). Data Statistics & Analytics: A strong grasp of statistical concepts (distributions, regression ...

your specific data industry experience to keep our curriculum cutting-edge. This involves iterating on materials to reflect modern stacks (e.g. cloud data engineering, Apache Airflow, Kafka). You will collaborate with the Curriculum team to design highly effective educational experiences that give learners the AI and Data skills … data modelling, and managing data warehouses (experience with DBT is a plus). Pipelines & Orchestration: Familiarity with building data pipelines, covering batch processing (e.g., Apache Airflow) and an understanding of stream processing (e.g., Kafka/Spark). Data Statistics & Analytics: A strong grasp of statistical concepts (distributions, regression ...