76 to 100 of 220 Apache Jobs in England

with NoSQL databases (e.g., MongoDB) and relational databases (e.g., PostgreSQL, MySQL). 5+ years in Python and SQL work. Knowledge of ETL tools (e.g., Apache Airflow) and cloud platforms (e.g., AWS, Azure, GCP). Understand data modelling concepts and best practices. Experience with healthcare data standards (e.g., HL7, FHIR More ❯

field. Proficiency in programming languages such as Python, Spark, SQL. Strong experience with SQL databases. Expertise in data pipeline and workflow management tools (e.g., Apache Airflow, ADF). Experience with cloud platforms (Azure preferred) and related data services. There’s no place quite like BFS and we’re proud More ❯

field. Proficiency in programming languages such as Python, Spark, SQL. Strong experience with SQL databases. Expertise in data pipeline and workflow management tools (e.g., Apache Airflow, ADF). Experience with cloud platforms (Azure preferred) and related data services. There's no place quite like BFS and we're proud More ❯

Learning (ML): • Deep understanding of machine learning principles, algorithms, and techniques. • Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. • Proficiency in data preprocessing, feature engineering, and model evaluation. • Knowledge of ML model deployment and serving strategies, including containerization and microservices. • Familiarity with More ❯

X.509 certificate infrastructure. Extensive experience supporting and implementing TLS/SSL certificate management systems Proficient with Token-based authentication services, Perfect Forward Security (PFS), Apache, Nginx, HAProxy Solid knowledge of Linux security and system operations. Benefits Roku is committed to offering a diverse range of benefits as part of More ❯

AWS, or Azure. Experience with CI/CD pipelines for machine learning (e.g., Vertex AI). Experience with data processing frameworks and tools, particularly Apache Beam/Dataflow is highly desirable. Knowledge of monitoring and maintaining models in production. Proficiency in employing containerization tools, including Docker, to streamline the More ❯

scientific discipline, backed by minimum A A B grades at A-level You have commercial Data Engineering experience working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You have a good understanding of modern data engineering best practices Ideally you will also have experience More ❯

extracting value from large datasets Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Experience with Apache Spark/Elastic Map Reduce Experience with continuous delivery, infrastructure as code More ❯

month contract with strong potential for extension, offering a unique opportunity to shape secure software delivery from end to end. Strong Kubernetes and Apache NiFi expertise. Responsibilities: Collaborate with engineering teams to design, develop, and release secure, scalable software. Implement quality assurance processes to ensure outputs meet stringent security More ❯

BigQuery, Redshift, Data Lakes). Expertise in SQL for querying large datasets and optimizing performance. Experience working with big data technologies such as Hadoop, Apache Spark, and other distributed computing frameworks. Solid understanding of machine learning algorithms, data preprocessing, model tuning, and evaluation. Experience in working with LLM (Large More ❯

BigQuery, Redshift, Data Lakes). Expertise in SQL for querying large datasets and optimizing performance. Experience working with big data technologies such as Hadoop, Apache Spark, and other distributed computing frameworks. Solid understanding of machine learning algorithms, data preprocessing, model tuning, and evaluation. Experience in working with LLM (Large More ❯

engineering, including infrastructure-as-code (e.g., Terraform, CloudFormation), CI/CD pipelines, and monitoring (e.g., CloudWatch, Datadog). Familiarity with big data technologies like Apache Spark, Hadoop, or similar. ETL/ELT tools and creating common data sets across on-prem (IBMDatastage ETL) and cloud data stores Leadership & Strategy More ❯

the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark/Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill More ❯

the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark/Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to 95,000 (Depending on experience/skill More ❯

Proficient in one of the deep learning stacks such as PyTorch or Tensorflow. Working knowledge of parallelisation and async paradigms in Python, Spark, Dask, Apache Ray. An awareness and interest in economic, financial and general business concepts and terminology. Excellent written and verbal command of English. Strong problem-solving More ❯

the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill More ❯

the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill More ❯

Product Or Domain Expertise Blend of technical expertise with 5+ years of experience, analytical problem-solving, and collaboration with cross-functional teams Azure DevOps Apache Spark, Python Strong SQL proficiency Data modeling understanding ETL processes, Azure Data Factory Azure Databricks knowledge Familiarity with data warehousing Big data technologies Data More ❯

hoc analytics, data visualisation, and BI tools (Superset, Redash, Metabase) Experience with workflow orchestration tools (Airflow, Prefect) Experience writing data processing pipelines & ETL (Python, Apache Spark) Excellent communication skills and ability to work collaboratively in a team environment Experience with web scraping Perks & Benefits Competitive salary package (including equity More ❯

hoc analytics, data visualisation, and BI tools (Superset, Redash, Metabase) Experience with workflow orchestration tools (Airflow, Prefect) Experience writing data processing pipelines & ETL (Python, Apache Spark) Excellent communication skills and ability to work collaboratively in a team environment Experience with web scraping Perks & Benefits Competitive salary package (including equity More ❯

and conduct unit testing Required qualifications to be successful in this role • Proficient in Java, preferably Kotlin, with experience on Java 11, Gradle and Apache Spark • Experience in GCP, preferably Big Query and Cloud Composer • Experience with CI/CD, preferably GitHub and GitHub action • Experience with Agile is More ❯

and conduct unit testing. Required qualifications to be successful in this role Proficient in Java, preferably Kotlin, with experience on Java 11, Gradle and Apache Spark. Experience in GCP, preferably Big Query and Cloud Composer. Experience with CI/CD, preferably GitHub and GitHub action. Experience with Agile is More ❯

knowledge of programming languages, specifically Python and SQL. Expertise in data management, data architecture, and data visualization techniques. Experience with data processing frameworks like Apache Spark, Hadoop, or Flink. Strong understanding of database systems (SQL and NoSQL) and data warehousing technologies. Familiarity with cloud computing platforms (AWS, Azure) and More ❯

tuning and optimisation Solid understanding of data warehousing principles, data modelling practice, Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues More ❯

tuning and optimisation Solid understanding of data warehousing principles, data modelling practice, Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues More ❯