76 to 100 of 157 Apache Spark Jobs in the UK

as Tableau, Power BI and Sigma. • Experience with programming languages such as Python, R, and/or Julia. • Familiarity with data processing frameworks like Spark or Hadoop is a plus. • Solid understanding of statistical analysis techniques, data mining methods, and machine learning algorithms. • Strong analytical and problem-solving skills more »

refining them to strong results. Exposure to Python data science stack Knowledge and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark and geospatial data/modelling are a plus. We’ll help you gain… Experience working in a high-performance environment where collaboration and business more »

space of data and AI technologies and business scenarios. Strong understanding of cutting edge and legacy Big Data and AI technologies such as Hadoop, Spark, OpenAI and Claude as well as architectures and domains such as Computer Vision, NLP, Neural Networks, Machine Learning, Generative AI, Data Warehouse and LakeHouse more »

platforms, Azure is desirable Software development experience is desirable Data architecture knowledge is desirable API design and deployment experience is desirable Big data (e.g. Spark) experience is desirable NoSQL DB experience is desirable Qualifications 2+ years of data science experience Right to work in the UK and/or more »

Skills & Experience At least 10 years experience working with JavaScript or Python/Java Previous experience deploying Software into the Cloud EKS, Docker, Kubernetes Apache Spark or NiFi Microservice architecture experience Experience with AI/ML systems more »

sponsors) Knowledge and experience of the following would be advantageous: Knowledge of Enterprise Architecture Frameworks Good knowledge of Azure DevOps Pipelines Strong experience in Apache Spark framework Previous experience in designing and delivering data warehouse and business intelligence solutions using on-premises Microsoft stack (SSIS, SSRS, SSAS) Knowledge more »

sponsors) Knowledge and experience of the following would be advantageous: Knowledge of Enterprise Architecture Frameworks Good knowledge of Azure DevOps Pipelines Strong experience in Apache Spark framework Previous experience in designing and delivering data warehouse and business intelligence solutions using on-premises Microsoft stack (SSIS, SSRS, SSAS) Knowledge more »

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 Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are more »

they are on the lookout for 2 AWS Data Engineers to come in on a contract basis. Key Skills/Requirements: Must have Python & Spark experience Must have strong AWS experience Must have Terraform experience SQL & NoSQL experience Have built out Data Warehouses & built Data Pipelines Strong Databricks & Snowflake more »

Experience with a JVM language, Kotlin, Java, Scala, Clojure Knowledge of Typescript and React is beneficial Exposure to data pipelines using technologies such as Spark and Kafka Experience with cloud services (ideally AWS) Hybrid working 1-2 days per week in Central London. £110,000 depending on experience. Please more »

business development and ensuring high levels of client satisfaction during delivery Skills Must have strong hands-on technical Skills in Python Pyspark Azure Databricks Spark ETL Cloud Azure preferred Good to have knowledge on ADF CI CD more »

software solutions. Skills Required: In depth experience designing & building backend applications in Python. Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Experience developing in a highly Agile/Scrum environment. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). Benefits more »

analytical abilities. Preferred Skills: Experience with cloud databases (e.g., AWS, Azure, Google Cloud Platform). Knowledge of big data tools and frameworks (e.g., Hadoop, Spark). Certification in database management (e.g., Microsoft Certified: Azure Data Engineer Associate). What We Offer: Competitive salary and comprehensive benefits package. Opportunity to more »

to 4 Senior Data EngineersThe successful Data Engineering Technical Lead will have the following skills and experienceFull Proficiency in AWS, Python, CI/CD, Spark, Terraform THE BENEFITSHYBRID WORKING PACKAGE HOW TO APPLY:Please register your interest by submitting your CV to Callum Aris via the apply link on more »

with JavaScript or Python Experience deploying software into the cloud and on-premise. Developing software products. Experience with EKS, Kubernetes, OpenSearch/ElasticSearch, MongoDB, Spark or NiFi. Experience with microservices architectures. Experience with AI/ML systems TO BE CONSIDERED…. Please either apply by clicking online or emailing more »

need broad expertise across various areas of the technology/software domain. Proficiency in AWS or Big Data, Hadoop or other SQL databases, Lucene, Spark, web app development (JavaScript, Node.js), Docker, Jenkins, Git, Python, or Ruby would be highly beneficial. Key Responsibilities: Meet with clients throughout the sales and more »

software solutions. Skills Required: In depth experience designing & building backend applications in Python. Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Experience developing in a highly Agile/Scrum environment. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). Benefits more »

as Python, C#, .Net and/or JavaScript is highly desirable. Experience with cloud platforms (e.g., Azure) and data technologies (e.g., SQL, NoSQL, Hadoop, Spark). PLEASE NOTE: You must have either UK citizenship or permanent leave to remain in the UK. Due to the high volume of applications more »

DETAIL AND ACCURACY IN DATA ANALYSIS · EFFECTIVE COMMUNICATION SKILLS TO CONVEY COMPLEX FINDINGS TO NON-TECHNICAL STAKEHOLDERS · EXPERIENCE WITH BIG DATA TECHNOLOGIES (E.G., HADOOP, SPARK). Could this be you? BNP Paribas Personal Finance believe it’s a positive attitude and passion to make things happen that matters most. more »

Pharmaceutical industry experience Experience in distributed system design Experience with Pure/Alloy Working knowledge of open-source tools such as AWS lambda, Prometheus Spark, Hadoop orSnowflake knowledge would be a plus. Additional Information Location: This role can be delivered in a hybrid nature from one of these offices more »

Pharmaceutical industry experience Experience in distributed system design Experience with Pure/Alloy Working knowledge of open-source tools such as AWS lambda, Prometheus Spark, Hadoop orSnowflake knowledge would be a plus. Additional Information Location: This role can be delivered in a hybrid nature from one of these offices more »

Pharmaceutical industry experience Experience in distributed system design Experience with Pure/Alloy Working knowledge of open-source tools such as AWS lambda, Prometheus Spark, Hadoop orSnowflake knowledge would be a plus. Additional Information Location: This role can be delivered in a hybrid nature from one of these offices more »

Pharmaceutical industry experience Experience in distributed system design Experience with Pure/Alloy Working knowledge of open-source tools such as AWS lambda, Prometheus Spark, Hadoop orSnowflake knowledge would be a plus. Additional Information Location: This role can be delivered in a hybrid nature from one of these offices more »

designing and building robust, scalable, distributed data systems and pipelines, using open source and public cloud technologies. Strong experience with data orchestration tools: e.g. Apache Airflow, Dagster. Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL … . Knowledge of event-driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink. Experience with public cloud environments: e.g. AWS, GCP, Azure, Terraform. Strong knowledge of software engineering practices: e.g. testing, CI/CD (Jenkins, Github Actions), agile development, git/version control, containers etc. more »

master and meta data management Experience with Azure SQL Database, Azure Data Factory, Azure Storage, Azure IaaS/PaaS related database implementations. Experience with Apache spark and new Fabric framework would be a plus. more »