376 to 400 of 490 Apache Spark Jobs in the UK

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. Benefits At Databricks, we strive to provide comprehensive More ❯

Experience in building machine learning models for business applications - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy, etc. - Experience in implementing Computer Vision algorithms. Posted: February 26, 2025 (Updated 2 days ago) Posted: March More ❯

Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience in implementing Computer Vision algorithms. Amazon is an equal opportunities employer. We believe passionately that employing a More ❯

teams - ideally SRE or Production Engineering Experience with large scale distributed systems Deep understanding and experience in one or more of the following: Hadoop, Spark, Flink, Kubernetes, AWS Experience working and leading geographically distributed teams and implementing high level projects and migrations Preferred Qualifications BS degree in computer science More ❯

building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, and search. You will work on Big Data technologies such as AWS, Spark, Hive, Lucene/SOLR, Elasticsearch, etc. You will drive appropriate technology choices for the business, lead continuous innovation, and shape the future of India More ❯

and equity financing to mid-market and late-stage companies. Liquidity is backed by leading global financial institutions including Japan’s largest bank, MUFG, Spark Capital, and KeyBank Asset Management. Liquidity offers a dynamic and fast-paced work environment. With an open-door policy and a commitment to high More ❯

A-Level grades are included on your CV). Basic scripting knowledge in Python or Bash Excellent customer-facing skills You have a sales spark - while this role isn't a focussed sales role, this is required due to the nature of the role A motivated self-starter with More ❯

A-Level grades are included on your CV). Basic scripting knowledge in Python or Bash Excellent customer-facing skills You have a sales spark - while this role isn't a focussed sales role, this is required due to the nature of the role A motivated self-starter with More ❯

Amazon business. BDT team is building an enterprise-wide Big Data Marketplace leveraging AWS technologies. We work closely with AWS teams like EMR/Spark, Redshift, Athena, S3 and others. We are developing innovative products including the next-generation of data catalog, data discovery engine, data transformation platform, and More ❯

Connected Plant, Emerson Plantweb/AMS, GE/Meridum APM, Aveva, Bentley, and OSIsoft PI Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning Savvy at helping customers create business cases with quantified ROI to justify new investments Experience More ❯

from concept to completion You have extensive, up-to-date knowledge and hands-on experience with machine learning and data engineering technologies (e.g., Kubernetes, Spark, Databricks, GPU) You have a proactive, problem-solving mindset with the ability to simplify complexity and translate high-level business requirements into specific projects More ❯

and ensure efficient integration into Feast feature store. Requirements Good knowledge of programming languages such as Python or Java. Strong experience with streaming technologies (Spark, PySpark, Flink, KSQL or similar) for developing data transformation pipelines. Solid understanding and practical experience with SQL and relational databases (PostgreSQL preferred). Proficiency … with AWS EMR for running and managing Spark workloads. Experience in SQL-based transformation workflows, particularly using DBT. Experience with Terraform to define and manage cloud infrastructure through code. Desirables: Familiarity with GCP. Experience with containerisation technologies (Docker, Kubernetes). Familiarity with streaming data ingestion technologies (Kafka, Debezium). More ❯

a Data Engineer II, you should be an expert with data lake fundamentals around storage, compute, etc., familiar with multiple data processing stacks like Spark, and core data concepts (e.g. Data Modeling). You should have deep understanding of the architecture for enterprise level data lake/mesh solutions … systems as it pertains to data storage and computing Experience with Redshift, Oracle, NoSQL etc. Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Bachelor's degree PREFERRED QUALIFICATIONS Experience working on and delivering end to end projects independently Experience providing technical leadership and mentoring other engineers More ❯

Role type: Perm Location: Hybrid/Remote from within the UK or Greece Preferred start date: ASAP LIFE AT SATALIA As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the hardest problems in More ❯

world architectures that business engineering teams buy into and build their applications around. Required Qualifications, Capabilities, and Skills: Experience across the data lifecycle with Spark-based frameworks for end-to-end ETL, ELT & reporting solutions using key components like Spark SQL & Spark Streaming. Strong knowledge of multi … fantastic end-to-end engineering experience supported by excellent tooling and automation. Preferred Qualifications, Capabilities, and Skills: Good understanding of the Big Data stack (Spark/Iceberg). Ability to learn new technologies and patterns on the job and apply them effectively. Good understanding of established patterns, such as More ❯

TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong understanding of SQL, NoSQL, and data modeling. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying ML and More ❯

MiFID II or EMIR Experience building real-time applications based on a messaging paradigm Experience building large-scale data processing pipelines (for e.g. using Apache Spark, etc) Experience building Highly Available and High Performance applications Experience of FIX messaging protocol FX Options/Derivatives experience Senior Python Developer 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. Benefits At Databricks, we strive to provide comprehensive 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. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of 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 . Benefits At Databricks, we strive to provide More ❯

science/quantitative modeling to real world, financial use cases. Knowledge of open-source technologies and platforms commonly used for data analysis (e.g., Hadoop, Spark, etc.). More ❯

conferences or journals - 3+ years of hands-on predictive modeling and large data analysis experience - Experience working with large-scale distributed systems such as Spark, Sagemaker or similar frameworks Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on More ❯

production issues. What We Value Experience with monitoring systems using tools like Prometheus and writing health checks Interest in learning and managing technologies like Spark, Hadoop, Elasticsearch, and Cassandra Familiarity with deploying GPUs Moderate experience with TCP/IP networking Ability to work independently with minimal supervision Ability to More ❯

any environment. On average every day 10,000 new app downloads from the app stores contain our code. Our innovative solutions create meaningful connections, spark real change, and drive success for businesses around the world. If you’re ready to be part of a team shaping the future of More ❯

building and managing real-time data pipelines across a track record of multiple initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Ability to … or a similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of a team Comfortable in a fast-paced environment Have excellent written and verbal English More ❯