251 to 275 of 1,117 Apache Jobs in the UK

code Experience working on distributed systems Strong knowledge of Kubernetes and Kafka Experience with Git, and Deployment Pipelines Having worked with at least one of the following stacks: Hadoop, Apache Spark, Presto AWS Redshift, Azure Synapse or Google BigQuery Experience profiling performance issues in database systems Ability to learn and/or adapt quickly to complex issues Happy to More ❯

code Experience working on distributed systems Strong knowledge of Kubernetes and Kafka Experience with Git, and Deployment Pipelines Having worked with at least one of the following stacks: Hadoop, Apache Spark, Presto AWS Redshift, Azure Synapse or Google BigQuery Experience profiling performance issues in database systems Ability to learn and/or adapt quickly to complex issues Happy to More ❯

code Experience working on distributed systems Strong knowledge of Kubernetes and Kafka Experience with Git, and Deployment Pipelines Having worked with at least one of the following stacks: Hadoop, Apache Spark, Presto AWS Redshift, Azure Synapse or Google BigQuery Experience profiling performance issues in database systems Ability to learn and/or adapt quickly to complex issues Happy to More ❯

code Experience working on distributed systems Strong knowledge of Kubernetes and Kafka Experience with Git, and Deployment Pipelines Having worked with at least one of the following stacks: Hadoop, Apache Spark, Presto AWS Redshift, Azure Synapse or Google BigQuery Experience profiling performance issues in database systems Ability to learn and/or adapt quickly to complex issues Happy to More ❯

code Experience working on distributed systems Strong knowledge of Kubernetes and Kafka Experience with Git, and Deployment Pipelines Having worked with at least one of the following stacks: Hadoop, Apache Spark, Presto AWS Redshift, Azure Synapse or Google BigQuery Experience profiling performance issues in database systems Ability to learn and/or adapt quickly to complex issues Happy to More ❯

code Experience working on distributed systems Strong knowledge of Kubernetes and Kafka Experience with Git, and Deployment Pipelines Having worked with at least one of the following stacks: Hadoop, Apache Spark, Presto AWS Redshift, Azure Synapse or Google BigQuery Experience profiling performance issues in database systems Ability to learn and/or adapt quickly to complex issues Happy to More ❯

term changes, with a key focus on public cloud onboarding. The platform is a Greenfield build using modern technologies such as Java, Spring Boot, Kubernetes, Kafka, MongoDB, RabbitMQ, Solace, Apache Ignite. The platform runs in a hybrid mode both on-premises and in AWS utilising technologies such as EKS, S3, FSX. Objectives Steering platform onboarding into AWS and Google More ❯

term changes, with a key focus on public cloud onboarding. The platform is a Greenfield build using modern technologies such as Java, Spring Boot, Kubernetes, Kafka, MongoDB, RabbitMQ, Solace, Apache Ignite. The platform runs in a hybrid mode both on-premises and in AWS utilising technologies such as EKS, S3, FSX. Objectives Steering platform onboarding into AWS and Google More ❯

ability to explain complex data concepts to non-technical stakeholders. Preferred Skills: Experience with insurance platforms such as Guidewire, Duck Creek, or legacy PAS systems. Knowledge of Delta Lake, Apache Spark, and data pipeline orchestration tools. Exposure to Agile delivery methodologies and tools like JIRA, Confluence, or Azure DevOps. Understanding of regulatory data requirements such as Solvency II, Core More ❯

ability to explain complex data concepts to non-technical stakeholders. Preferred Skills: Experience with insurance platforms such as Guidewire, Duck Creek, or legacy PAS systems. Knowledge of Delta Lake, Apache Spark, and data pipeline orchestration tools. Exposure to Agile delivery methodologies and tools like JIRA, Confluence, or Azure DevOps. Understanding of regulatory data requirements such as Solvency II, Core More ❯

. Skilled Data Engineer for Cloud Data Lake activities. The candidate should have industry experience (preferably in Financial Services) in navigating enterprise Cloud applications using distributed computing frameworks as Apache Spark, Hadoop, Hive. Working knowledgeoptimizing database performance, scalability, ensuring data security and compliance. Education & Preferred Qualifications Bachelor's/Master's Degree in a Computer Science, Engineering or Math More ❯

ability to explain complex data concepts to non-technical stakeholders. Preferred Skills: Experience with insurance platforms such as Guidewire, Duck Creek, or legacy PAS systems. Knowledge of Delta Lake, Apache Spark, and data pipeline orchestration tools. Exposure to Agile delivery methodologies and tools like JIRA, Confluence, or Azure DevOps. Understanding of regulatory data requirements such as Solvency II, Core More ❯

term changes, with a key focus on public cloud onboarding. The platform is a Greenfield build using modern technologies such as Java, Spring Boot, Kubernetes, Kafka, MongoDB, RabbitMQ, Solace, Apache Ignite. It runs in a hybrid mode both on-premises and in AWS, utilizing technologies such as EKS, S3, FSX. Objectives Steering platform onboarding into AWS and Google Cloud More ❯

modern data lake/lakehouse architectures Strong grasp of cloud data platforms (AWS, Azure, GCP, Snowflake) Understanding of Data Mesh , Data Fabric , and data product-centric approaches Familiarity with Apache Spark , Python , and ETL/ELT pipelines Strong knowledge of data governance, lifecycle management, and compliance (e.g. GDPR) Consulting experience delivering custom data solutions across sectors Excellent leadership, communication More ❯

ability to explain complex data concepts to non-technical stakeholders. Preferred Skills: Experience with insurance platforms such as Guidewire, Duck Creek, or legacy PAS systems. Knowledge of Delta Lake, Apache Spark, and data pipeline orchestration tools. Exposure to Agile delivery methodologies and tools like JIRA, Confluence, or Azure DevOps. Understanding of regulatory data requirements such as Solvency II, Core More ❯

SQL, and Python. Requirements: 3+ Years data engineering experience Snowflake experience Proficiency across an AWS tech stack DBT expertise Terraform experience Expert SQL and Python Data Modelling Data Vault Apache Airflow My client have very limited interview slots and they are looking to fill this vacancy ASAP. I have limited slots for 1st stage interviews next week so if More ❯

SQL, and Python. Requirements: 3+ Years data engineering experience Snowflake experience Proficiency across an AWS tech stack DBT expertise Terraform experience Expert SQL and Python Data Modelling Data Vault Apache Airflow My client have very limited interview slots and they are looking to fill this vacancy ASAP. I have limited slots for 1st stage interviews next week so if More ❯

opportunities to optimise data workflows, adopt emerging technologies, and enhance analytics capabilities. Requirements: Technical Proficiency : Hands-on experience building ETL/ELT pipelines with Python, SQL, or tools like Apache Airflow, and expertise in visualisation tools (Power BI, Tableau, or Looker). Cloud Expertise : Familiarity with cloud platforms like Snowflake, Databricks, or AWS/GCP/Azure for scalable More ❯

SQL, and Python. Requirements: 3+ Years data engineering experience Snowflake experience Proficiency across an AWS tech stack DBT expertise Terraform experience Expert SQL and Python Data Modelling Data Vault Apache Airflow My client have very limited interview slots and they are looking to fill this vacancy ASAP. I have limited slots for 1st stage interviews next week so if More ❯

SQL, and Python. Requirements: 3+ Years data engineering experience Snowflake experience Proficiency across an AWS tech stack DBT expertise Terraform experience Expert SQL and Python Data Modelling Data Vault Apache Airflow My client have very limited interview slots and they are looking to fill this vacancy ASAP. I have limited slots for 1st stage interviews next week so if More ❯

SQL, and Python. Requirements: 3+ Years data engineering experience Snowflake experience Proficiency across an AWS tech stack DBT expertise Terraform experience Expert SQL and Python Data Modelling Data Vault Apache Airflow My client have very limited interview slots and they are looking to fill this vacancy ASAP. I have limited slots for 1st stage interviews next week so if More ❯

SQL, and Python. Requirements: 3+ Years data engineering experience Snowflake experience Proficiency across an AWS tech stack DBT expertise Terraform experience Expert SQL and Python Data Modelling Data Vault Apache Airflow My client have very limited interview slots and they are looking to fill this vacancy ASAP. I have limited slots for 1st stage interviews next week so if More ❯

experience in Data Engineering or a related field Strong proficiency in Python (PySpark, Pandas) and SQL Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with big data technologies (Apache Spark, Hadoop, Kafka) is a plus How to Apply: Fill out the application form here: https://docs.google.com/forms/d/e/1FAIpQLSdnd7LZnaxgJf438qrP7O_8pWAptGF8nYUqpA8L-vI0NiEsKg More ❯

containerization and CI/CD tools (e.g., Docker, GitHub Actions). Knowledge of networking and cloud infrastructure (e.g., AWS, Azure). Experience with modern data processing frameworks (e.g., dbt, Apache Airflow, Spark, or similar). Requirements A strong focus on system observability and data quality. Emphasis on rapid scalability of solutions ( consider market ramp up when entering a new More ❯

They're Looking For: Experience in a data-focused role, with a strong passion for working with data and delivering value to stakeholders. Strong proficiency in SQL, Python, and Apache Spark , with hands-on experience using these technologies in a production environment. Experience with Databricks and Microsoft Azure is highly desirable. Financial Services experience is a plus but not More ❯