51 to 75 of 231 Apache Spark Jobs in the UK

security Practical cloud‐native experience Preferred Qualifications, Capabilities, and Skills: Experience with modern data technologies such as Databricks or Snowflake Hands‐on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial ...

security Practical cloud‐native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands‐on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial ...

evolving platform stack — from data ingestion and event processing to REST services and internal tooling. Build and maintain streaming and batch processing systems (Flink, Spark, Kafka) that power real‐time and analytical workloads. Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with … Willingness and ability to take on new technologies as our stack evolves. Nice to Have Experience with stream processing frameworks such as Flink or Spark Streaming. Experience with task orchestration tools such as Apache Airflow or similar systems. Experience working with and designing infrastructures for large‐scale data ...

Senior Databricks Architect - London (Hybrid) - Databricks - Spark - PySpark - AWS - Up to £115,000 + Bonus Our client, a large-scale organisation undergoing significant investment in data and cloud technologies, is seeking an experienced Senior Databricks Architect to join its expanding Data & AI practice. This is an exciting opportunity … real-time data pipelines from legacy and modern source systems Implementing real-time and event-driven data processing solutions Developing data transformation frameworks using Spark, PySpark and SQL Designing Lakehouse architectures using Databricks and Medallion Architecture principles Creating scalable, reusable data products to support modern data operating models Integrating ...

consultancy environments Senior Data Engineering Consultant | DESIRED SKILLS Experience working across multi‐cloud platforms including Azure, AWS, or hybrid data environments Exposure to Databricks, Apache Spark, Azure Synapse, or similar distributed processing technologies Familiarity with systems integration and API development including REST‐based services Experience supporting pre‐sales ...

reconciling source and target data. Experience executing functional and data validation testing. Agile experience. Technical Environment Microsoft Fabric Azure Data Factory SQL Python PySpark Apache Spark Desirable Skills Experience introducing test automation. Data quality frameworks. Reporting and analytics testing. Azure DevOps. Contract Details UK-based London office ...

what already exists Deep fundamentals in Python or a functional language like Scala Experience designing and building big data applications with stacks like Databricks, Apache Spark, HDFS, HBase, Snowflake Real command of test-driven development and code quality, this matters as much to us as your data stack ...

Work with container technologies Core Data Engineering Strong programming proficiency in Java or Python. Hands-on experience with at least one of: Kafka, Flink, Spark Solid understanding of stream processing concepts Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ ...

driven decision making. What youll be doing Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across modern ...

driven decision making. What you'll be doing Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across ...

experience with the SQL Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake). Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/ ...

systems Comfortable building from scratch in a fast-moving, product-led environment Experience with vector databases and vector search in modern AI systems Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures Cloud experience (AWS, GCP or Azure) is a plus Why join High impact and ownership ...

Work with container technologies Core Data Engineering Strong programming proficiency in Java or Python. Hands-on experience with at least one of: Kafka, Flink, Spark Solid understanding of stream processing concepts Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ ...

data engineering, ETL development or data platform delivery. Strong programming skills in Java or Python. Exposure to modern data technologies such as Kafka, Spark or Flink. Experience working within cloud environments, ideally AWS. Understanding of software engineering principles, version control and CI/CD practices. Familiarity with container technologies ...

datasets Preferred Qualifications Knowledge or interest in investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka Equal Opportunity Employer Goldman Sachs is an equal opportunity employer ...

Python. Proven experience designing and building distributed systems and APIs at scale. Hands‐on experience with real‐time data processing frameworks (e.g. Kafka, Flink, Spark Streaming, Pulsar). Experience working with cloud platforms (AWS, GCP, or Azure) and containerisation/orchestration (Docker, Kubernetes). Strong understanding of data modelling ...

data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits ...

scale datasets Preferred Qualifications Knowledge or interestin investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka Goldman Sachs Highlights At Goldman Sachs, we commit our people, capital ...

datasets Preferred Qualifications Knowledge or interest in investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital ...

Computational Complexity. Strive for excellence and continuous improvement in software architecture, software delivery and best practices. Hands on experience in C#, OOP python, Spark/PySpark and other C#, Python framework ecosystem. Debug and resolve issues in large datasets quickly. Co-ordinating handoffs between different time zones and allocating ...

data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive ...

data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive ...

Computational Complexity.* Strive for excellence and continuous improvement in software architecture, software delivery and best practices.* Hands on experience in C#, OOP python, Spark/PySpark and other C#, Python framework ecosystem.* Debug and resolve issues in large datasets quickly.* Co-ordinating handoffs between different time zones and allocating ...

Excellent verbal and written communication skills BS or MS degree in Computer Science or equivalent Experience in distributed computing frameworks like Hive/Hadoop, Apache Spark Experience in developing Finance or HR related applications Experience with cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB, VPC, Elastic … Cache, Lambda Working experience with Terraform Experience in creating workflows for Apache Airflow What the job involves As a senior technical lead, you consider yourself a platform services developer and develop innovative solutions using modern software frameworks and paradigms You are self‐driven and a problem solver, with ...

modern data engineering best practices You have experience with Databricks, ideally also Azure You have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You're excited to join a start-up in a role that you can shape and influence ...