1 to 25 of 164 Apache Spark Jobs in the UK

Modelling. Experience with at least one or more of these programming languages: Python, Scala/Java Experience with distributed data and computing tools, mainly Apache Spark & Kafka Understanding of critical path approaches, how to iterate to build value, engaging with stakeholders actively at all stages. Able to deal more »

frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very occasional travel (once a month more »

pipeline and workflow management and their tools such as Airflow. Strong understanding of relational SQL and NoSQL databases, including MongoDB and stream-processing systems: Spark-Streaming, Kinesis etc. Ability to understand any scripting language and tools. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and more »

experience with Python (2+ Years) Experience working with REST Microservices Strong SQL Experience working with very large data sets. Knowledge of big data tools (Spark, Kafka etc) Experience working in finance (Preferred) Strong formal education - ideally in Computer Science If this sounds of interest, then please do not hesitate more »

capital while also giving them the flexibility to decide when and how they use it. LIQUiDITY is backed by top global financial institutions, including Spark Capital, MUFG, Apollo, and Meitav Dash. We are looking for Credit Directors who are ready to build the next generation of machine-learning-powered more »

comfortable designing and constructing bespoke solutions and components from scratch to solve the hardest problems. Adept in Java, Scala, and big data technologies like Apache Kafka and Apache Spark, they bring a deep understanding of engineering best practices. This role involves scoping and sizing, and indeed estimating … be considered. Key responsibilities of the role are summarised below Design and implement large-scale data processing systems using distributed computing frameworks such as Apache Kafka and Apache Spark. Architect cloud-based solutions capable of handling petabytes of data. Lead the automation of CI/CD pipelines for more »

This is a fully remote position, you must be currently based in the UK to be consider. Skills/Technology Python Big Data tools (Spark, Hadoop, Flink) Data Pipelines/ETL Django/Flask more »

to: Backend technology, Python. Databases like MSSQL. Front-end technology, Java. Cloud platform, AWS. Programming language, JavaScript (React.js) Big data technologies such as Hadoop, Spark, or Kafka. What We Need from You: Essential Skills: A degree in Computer Science, Engineering, or a related field, or equivalent experience. Proficiency in more »

of scalable backend services using Go, Rust, and other relevant technologies. Spearhead the adoption of cutting-edge technologies like Kubernetes, Knative, Rook, Cassandra, and Spark to enhance our product offerings and infrastructure. Set the technical direction for the team, ensuring alignment with the company’s strategic goals and industry more »

you'll spearhead backend and data engineering and mentor team members. Tech stack: Athena; Python, Flask, Redis, Postgres, React, Plotly, Docker, SQL, Athena & EMR Spark, ECS and Temporal. This is a 60/40 split between tech and leadership. Your background: 8 years+ coding experience, 4+ years Python experience. … being the preference not essential) Start-up experience is preferred but not essential. The extras: Experience working on AI-based products. Distributed computing experience (Spark, MPI, etc) Experience orchestrating workflows, particularly within distributed system environments. Knowledge of MLOps principles and practices, especially in implementing them within production settings. What more »

Staff Data Engineer Tech - Python, NoSql, Spark, AWS/GCP Salary – Up to £115,000 Location – Hybrid (twice a week on-site) A rapidly expanding AI, data, and research business is looking for a highly skilled Data Engineer to join their growing team focused on delivering high quality data … will oversee cloud orchestration and data infrastructure using the most relevant and modern data processing tools. Skills required as a Data Engineer: Python NoSql Spark AWS/GCP This a challenging and rewarding position for a self-motivated Data Engineer to join a forward-thinking, mission driven data business more »

What you’ll be using: Platforms & Tools : Cloud Computing platforms (ADLS Gen2), Microsoft Stack (Synapse, DataBricks, Fabric, Profisee), Snowflake Data Integration, Azure Service Bus, Apache Airflow, Apache Iceberg, Apache Spark, Apache Hudi, Apache Kafka, Power BI, BigQuery, DeltaLake, Azure DevOps, Azure Monitor, Azure Data … Server, Azure DataLake Storage, Azure App Service, Azure ML is a plus. Languages : Python, SQL, T-SQL, SSIS and high-level programming knowledge on Spark is a plus. DB: Azure SQL Database, Cosmos DB, NoSQL, MongoDB, and HBase are a plus. Methodologies: Agile and DevOps must have. Concepts: ELT …/ETL, DWH, APIs (RESTful), Spark APIs, FTP protocols, SSL, SFTP, PKI (Public Key Infrastructure) and Integration testing. If this sounds like you, be sure to get in touch – we are shortlisting right away. If you like the sound of the opportunity, but don’t quite tick every box more »

complex issues they are facing. out data-driven analysis, craft solutions to resolve business problems. Artificial Intelligence and data science approaches (Python, R, Matlab, Spark etc). database technologies such as Hadoop. tools that expand the companies tool kit, advancing their ability to serve clients. Experience needed- in a more »

Terraform/Docker/Kubernetes. Write software using either Java/Scala/Python . The following are nice to have, but not required - Apache Spark jobs and pipelines. Experience with any functional programming language. Database design concepts. Writing and analysing SQL queries. Application overVIOOH Our recruitment team more »

solid foundation in algorithms and data structures A proactive mindset with excellent problem-solving and communication skills Experience with big data technologies such as Apache Kafka, Spark, Hadoop, or similar systems. Preferred Skills: Demonstrated experience with scripting languages like Python, Bash, etc Testing and troubleshooting skills with the more »

skills include: Experience deploying, securing and supporting cloud infrastructure platforms Understanding of security frameworks/standards Understanding of data streaming and messaging frameworks (Kafka, Spark, etc.) and modern database technologies (Cockroach etc.) Understanding of distributed tracing and monitoring (Zipkin, OpenTracing, Prometheus, ELK stack, Micrometer metrics, etc.) Experience with containers more »

the cloud, ideally including the use of scalable technologies such as cluster computing and containerization Experience working in parallel/scalable languages such as Spark or Dask Experience working with knowledge graphs and graph neural networks Biotech or biopharma experience, ideally within R&D Experience in a startup or more »

EC3V 1LT Working Arrangements: Hybrid, 2-3 days p/w in office Salary: £75,000-£85,000 Industry: Insurance Tech Stack: Python, SQL, Spark, Azure 👩🏻‍💻 Great opportunity for a talented Engineer (Python, SQL, Spark, Azure) to join a market leading cyber insurance company. The Company 🚀 Tech driven … business around the world to provide unique, competitive and secure insurance packages. The Role ✨ They are seeking a highly pragmatic Engineer (Python, SQL, Spark, Azure) to help build out their new data platform. You (Python, SQL, Spark, Azure) will work closely with Architects, Data Scientist and Software Engineers … to build out a greenfield platform that can be used to provide business critical insights. The ideal candidate (Python, SQL, Spark, Azure) will be comfortable working with non technical colleagues to build a platform that benefits the entire business Desired Skills ⚙️ Python (SQL Server, Azure SQL) Databricks Ariflow, Kafka more »

leading business intelligence platform (e.g. Microsoft, Crystal, Qlik, SAP, Tableau). Good understanding of open source, big data, and cloud data platforms (e.g. Hadoop, Spark, Hive, Pentaho, AWS, Azure); given a business problem, you can analyse and evaluate options and recommend solutions. Proven experience in designing, building and maintaining more »

Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as PyTorch, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Experience in building speech recognition, machine more »

Responsibilities: As a pivotal member of our rapidly expanding business, your role involves: Designing and Maintaining Data Architectures and Pipelines: Create and optimize robust data architectures and pipelines. Assemble intricate data sets that align with both functional and non-functional more »

working with AWS technologies such as Lambda, ECS Fargate, API Gateway, RDS, DynamoDB, EMR building customer-facing applications and APIs building data pipelines using Spark + Scala that process Tb of data per day working with customers to understand the business context of new features participating in design reviews 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 »

or Rust. Experience in building and enhancing compute, storage, and data platforms with exposure to open source products like Kubernetes, Knative, Ceph, Rook, Cassandra, Spark, Nate etc. Hands-on exp. with IaC tools and automation, such as Terraform, Ansible, or Helm. Active engagement or contributions to the open-source more »