1 to 25 of 227 Apache Spark Jobs in the UK

Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS) or Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of working. Security clearance: You must be able to gain more »

VBA as well as batch scripting (e.g. PowerShell) • experience of Python (including TM1Py), Apliqo UX (Cubewise) and Azure Kubernetes is beneficial • broader experience of Apache Spark (Databricks), Business Intelligence (Power BI) and Machine Learning also beneficial • strong analytical, problem-solving and synthesizing skills (you know how to figure 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 or Snowflake knowledge would be a plus. Additional Information Location: This role can be delivered in a hybrid nature from one of these more »

in Python, R, and SQL. Extensive experience (over 5 years) in building Machine Learning models. Understanding of underlying data systems like Cloud architectures, K8S, Spark, and SQL. Fluency in English and German, with French being a plus. Desirable experience in Consulting or Customer-facing Data Science roles, Data Engineering more »

coding skills in one of the following: Python, C/C++, Java, NodeJS, Go, Scala Experience with distributed systems, scalable data processing frameworks (e.g., Spark,Kafka) and noSQL systems (e.g., HBase, Cassandra) is a plus. This is an excellent role for someone looking to step into a leadership position more »

Exciting Opportunity: Python/Spark Big Data Software Engineer – Financial Services Sector 📍 Location: Glasgow 💼 Contract: 6 Months PAYE 💷 Rate: Up to £500 per Day Are you ready to take your software engineering career to the next level? We invite you to join a leading team in the financial services … industry where innovation meets top-tier excellence. We are on the lookout for a seasoned Python/Spark Big Data Software Engineer to play a key role in our agile team. What You Will Do: Devise and implement cutting-edge software solutions, venturing beyond traditional methods to tackle complex … languages. Comprehensive understanding of the Software Development Life Cycle and Agile methodologies. Familiarity with Python or PySpark and cloud technologies like AWS, Kubernetes, and Spark is highly desirable. Ideal Candidate: Someone with a knack for innovative solutions and a commitment to technical excellence. Previous experience in the financial services 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 »

build their AI practice and a team around you. Required Skills: Building cloud and native machine learning architecture with: LLamaIndex, HuggingFace, SentenceTransformers, PyTorch, Python, Apache Spark. Experience with practical application of AI and scaling AI with these tools Experience in Health Care is essential We would love to share more »

prem solutions to the cloud, including re-architecting Prior experience working on data focused projects e.g. data warehousing, big data, data streaming Proficiency with Apache Kafka, Apache Spark, Apache Flink etc. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless more »

tools (e.g., Docker, Kubernetes). CI/CD pipelines and tools (e.g. DBT, Jenkins, GitLab CI) Desirable: Experience with analytics tools and frameworks (e.g., Apache Spark, Hadoop). SQL Sagemaker, DataRobot Google Cloud and Azure Data platform metadata driven frameworks to ingest, transform and manage data 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 »

and product development, encompassing experience in both stream and batch processing. Designing and deploying production data pipelines, utilizing languages such as Java, Python, Scala, Spark, and SQL. In addition, you should have proficiency or familiarity with: Scripting and data extraction via APIs, along with composing SQL queries. Integrating data more »

language, ideally Python but can also be Java or C/c++ SQL expeirence Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) Get in touch with Ella Alcott - Ella@engagewithus.com 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 »

in programming languages commonly used in machine learning, preferably Python. Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proven track record of developing and implementing machine learning solutions in a professional setting. Passion for exploring new technologies and driving innovation in more »

in applied machine learning on real use cases (brownie points for productionised reinforcement learning use cases!) Experience with ML/distributed ML frameworks like Spark-MLlib, TensorFlow etc. Experience with real-time scoring/evaluation of models with low latency constraints Great coding skills and strong software development experience … we use Spark, Python and Java a lot) Can work with large scale computing frameworks, data analysis systems and modeling environments. Examples include technologies like Spark, Hive, NoSQL stores etc. Bachelors, Masters or PhD program in Computer Science/Statistics or a related field Ad-tech background is more »

at scale utilising the best breed of Cloud services and technologies. So, what tools and technologies will you be using? AWS Python Databricks/Spark Trino Airflow Docker CloudFormation/Terraform SQL/NoSQL We provide you with the opportunity to think freely and work creatively and right now … Other skills we are looking for you to demonstrate include: Experience of data storage technologies: Delta Lake, Iceberg, Hudi Sound knowledge and understanding of Apache Spark, Databricks or Hadoop Ability to take business requirements and translate these into tech specifications Knowledge of Architecture best practices and patterns Competence more »

we encourage you to apply. Python App Developer Requirements: Proficiency with Python or PySpark. Exposure to cloud technologies such as Airflow, Astronomer, Kubernetes, AWS, Spark, Kafka. Experience with Big Data solutions or Relational DB. Demonstrated knowledge of software applications and technical processes within a cloud or microservice architecture. Hands more »

classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »

and Public Services, Healthcare, Life Sciences, and Transport. Essential Skills & Experience: Design and deploy data pipelines in big data architecture using Java, Python, Scala, Spark, and SQL. Execute tasks involving scripting, API data extraction, and SQL queries. Proficient in data cleaning, wrangling, visualization, and reporting. Specialised in AWS cloud more »

to ensure efficient and accurate data delivery. Optimize data workflows for performance, scalability, and cost-effectiveness. Technical Expertise: Demonstrate in-depth expertise in Databricks, Apache Spark, and related big data technologies. Stay informed about the latest industry trends and advancements in data engineering. Quality Assurance: Conduct thorough testing … projects. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience in data engineering with a focus on Databricks and Apache Spark. Strong programming skills, preferably in Python or Scala. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and associated data services. Excellent communication skills more »

ownership • Python, Java or similar (Ruby or Node) or another Functional Language • JavaScript and associated frameworks, preferably Vue, or similar • Cloud technologies • SQL (advantageous) • Spark (advantageous) • Docker/Kubernetes – advantageous ) • MongoDB, SQL, Postgres & Snowflake (advantageous) • Developing online, cloud based SaaS products. • Leading and building scalable architectures and distributed systems more »

ReactJs, JavaScript, CSS etc. Desired Skills: Cloud technologies (AWS, GCP, Azure, etc.) Security frameworks/standards Understanding of data streaming and messaging frameworks (Kafka, Spark, etc.) Understanding of containers (Docker, Kubernetes, Helm, etc.) Experience in automating deployment, releases and testing in continuous integration, continuous delivery pipelines. Please apply or 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 »

network programming. Experience in building and enhancing compute, storage, and data platforms with exposure to open source products like Kubernetes, Knative, Ceph, Rook, Cassandra, Spark, Nate and the like. Hands-on with infrastructure-as-code tools and automation, such as Terraform, Ansible, or Helm. The role Tech Lead responsible more »