1 to 25 of 183 Apache Spark Jobs in the UK

detect threats, analyze patterns, and respond to incidents in real-time. You'll be designing and developing highly scalable streaming services using technologies like Apache Kafka, Apache Flink, Apache Storm and Apache Spark in Java, Python and Go. You'll design and implement data pipelines … Design, develop, and maintain streaming microservices in Java and Go that provide real-time data processing capabilities to internal teams Build and optimize Apache Flink and Apache Spark based data pipelines running on Kubernetes infrastructure Design event-driven systems leveraging Kafka for high-throughput, low-latency message ...

complex legacy data pipelines into production-grade PySpark Building scalable, reusable data movement frameworks across multiple engineering teams Driving best practice around AWS Glue, Apache Spark and Apache Airflow Designing high-quality testing frameworks covering performance, data quality and reliability Leveraging Agentic AI development tools to improve … consumed We're looking for someone with experience in Staff, Principal or Lead Data Engineering roles Python and expert-level PySpark AWS Glue Apache Spark Apache Airflow Cloud-native Data Engineering architectures Large-scale data pipeline modernisation Building reusable engineering patterns within enterprise environments Data testing, validation ...

media metadata platform - Media Content Catalogue. You will be involved with the design, scaling, and optimisation of this modern, cloud-scale lakehouse built on Apache Spark, AWS Glue, and Apache Iceberg/Parquet, transforming complex broadcast & archival media metadata into structured, aggregated, unified, high-performance data assets. … Demonstrable experience of delivering data-powered applications in production - Hands-on experience with modern cloud data analysis & engineering (we use SQL, Python, AWS Glue, Apache Iceberg, Apache Parquet, Apache Spark) - Experience of modern data transformation pipeline tools such as dbt or SQLMesh - Working experience of data ...

will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design … build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Design and oversee the delivery of secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure ...

complex legacy data pipelines into production‐grade PySpark Building scalable, reusable data movement frameworks across multiple engineering teams Driving best practice around AWS Glue, Apache Spark and Apache Airflow Designing high‐quality testing frameworks covering performance, data quality and reliability Leveraging agentic AI development tools to improve … data is governed, managed and consumed Qualifications Staff, Principal or Lead Data Engineering roles Expertise in Python and PySpark Experience with AWS Glue, Apache Spark and Apache Airflow Cloud‐native data engineering architectures Large‐scale data pipeline modernisation Building reusable engineering patterns within enterprise environments Data testing ...

you. You'll be joining a large-scale cloud data transformation programme, helping design, build and optimise enterprise data platforms using Python, Databricks and Spark within a modern Lakehouse environment. Key Responsibilities Design, develop and maintain scalable data pipelines using Python and Databricks. Build, optimise and support enterprise …/ELT workflows using Apache Spark and Delta Lake. Design and develop robust data models and Lakehouse architectures. Implement and manage data workflows within the Databricks ecosystem. Ensure high levels of data quality, governance and pipeline reliability. Optimise performance across large-scale distributed data processing platforms. Collaborate with ...

should have specialist experience in one or more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Experience of Databricks ML and Azure … develop predictive models and drive business insights. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Azure Data Engineer Associate and Databricks ...

will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.What … lake & Fabric. Understand which Azure data focused components to use for which purpose.Microsoft certified architectDatabricksDesign and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.Ability to Design, Build and deploy AI/ ...

will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. What … which Azure data focused components to use for which purpose. Microsoft certified architect Databricks Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Ability to Design, Build and deploy ...

applications, working closely with data engineers, analysts, and platform teams. Day to day duties Developing and maintaining data pipelines and processing jobs using Apache Spark and Python Orchestrating workflows with Apache Airflow Provisioning and managing cloud infrastructure on AWS using Terraform (Infrastructure as Code) Containerising applications … teams in an Agile environment, contributing to design reviews, code reviews, and documentation Essential Skills & Experience Strong hands-on experience with Python Experience with Apache Spark for large-scale data processing Practical knowledge of AWS services (eg S3, Lambda, EC2, Glue, RDS - adjust as relevant) Experience writing ...

technologies, share knowledge, and contribute to a culture of excellence and innovation. Key responsibilities include: • Design & Build: Develop and optimise data pipelines using Databricks, Apache Spark, and Python. • Develop & Deliver: Create scalable data solutions on AWS leveraging S3, Glue, Lambda, and related services. • Integrate & Automate: Implement ETL processes … Hands-on commercial expertise with Databricks. You should have: • Proven experience as a Data Engineer working with large, complex datasets. • Hands-on expertise with Apache Spark, and SQL. • Strong proficiency in Python (PySpark preferred). • Experience with AWS cloud services including S3, Glue, Lambda, IAM. • Familiarity with ...

Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external … clients across a variety of industry markets. Minimum of 5+ years of customer‐facing experience would be preferred [Preferred] Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core ...

PyTorch, applying advanced proficiency in supervised and unsupervised learning techniques to solve complex image and video analysis tasks. Implement scalable data pipelines with Apache Spark and Kafka, ensuring efficient ingestion, processing, and transformation of large-scale visual datasets for model training and inference. Evaluate machine learning models using … classification performance in vision projects. Guide team members in adopting best practices for code quality, model deployment, and performance optimization, leveraging tools like Apache Airflow for workflow automation. Collaborate with internal stakeholders to define technical requirements and deliverables, ensuring alignment of vision solutions with project objectives and compliance standards. ...

operating data pipelines and analytical systems using technologies such as Google BigQuery, Amazon Athena, or ClickHouse. Experience with distributed data processing frameworks such as Apache Spark and/or Apache Flink. Experience with messaging and streaming systems such as Apache Kafka or Apache Pulsar. Experience ...

data processing solutions using BigQuery, Pub/Sub, Dataflow and Dataproc Experience developing end‐to‐end solutions using batch and streaming frameworks such as Apache Spark and Apache Beam. Expert understanding of when to use a range of data storage technologies including relational/non‐relational, document ...

Experience using Git/version control Strong communication skills with both technical and non-technical stakeholders Desirable Skills: Microsoft Fabric Azure Synapse Analytics Databricks Apache Spark/PySpark dbt Apache Airflow Power BI Azure DevOps CI/CD pipelines Terraform What's On Offer: £65k+ salary package ...

delivering enterprise-scale data platform solutions. A strong background in Solution Architecture or Technical Architecture. Hands-on experience with open-source technologies such as Apache Spark, Trino, Airflow, Apache Superset, or similar data engineering platforms. Experience working with cloud platforms including Azure, AWS, or GCP. Experience producing ...

considering: We are looking for an experienced AWS Databricks Engineer with strong hands-on expertise in Databricks, AWS cloud services, PySpark, Spark SQL, Delta Lake, Python, SQL, and data engineering. The candidate will be responsible for designing, developing, optimizing, and supporting scalable data pipelines and Lakehouse solutions … forums, architecture review boards, design authority meetings, and client stakeholder workshops. Your Skills: Strong hands-on experience with Databricks on AWS. Strong experience with Apache Spark/PySpark. Excellent programming skills in Python. Strong SQL skills including complex queries, joins, CTEs, window functions, and query optimization. AWS Secrets ...

/CD, and Infrastructure as Code. Desirable: Experience within UK Defence, Intelligence, or National Security sectors. Knowledge of big data tools such as Kafka, Spark, or Hadoop. Support for machine learning or advanced analytics workloads. Experience working with classified datasets and Elastic Stack (ELK). If you're ready ...

learning or data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow ...

understanding of Quantexa components such as: Entity Resolution (ER), Scoring Framework, Contextual Network Generation, UI Configuration. Strong background in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch. Experience with data modelling and design in the context of large-scale analytics platforms. Strong stakeholder management and communication skills ...

understanding of Quantexa components such as: Entity Resolution (ER) Scoring Framework Contextual Network Generation UI Configuration Strong background in Big Data technologies, including:Scala, Apache Spark, Hadoop, ElasticSearch Experience with data modelling and design in the context of large-scale analytics platforms. Strong stakeholder management and communication skills ...

able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create ...

automation & configuration management; • Ansible (plus Puppet, Saltstack), Terraform, CloudFormation; • NodeJS, REACT/MaterialUI (plus Angular), Python, JavaScript; • Big data processing and analysis, e.g. Apache Hadoop (CDH), Apache Spark; • RedHat Enterprise Linux, CentOS, Debian or Ubuntu. • Java 8, Spring framework (preferably Spring boot), AMQP - RabbitMQ, • Open source technologies ...

Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/ ...