26 to 50 of 136 Apache Jobs in the UK

governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across security ...

governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across security ...

governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across security ...

governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across security ...

governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across security ...

governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across security ...

governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across security ...

able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data ...

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 data ...

excellence and be a person that actively looks for continual improvement opportunities. Knowledge and skills Experience as a Data Engineer or Analyst Databricks/Apache Spark SQL/Python BitBucket/GitHub. Advantageous dbt AWS Azure Devops Terraform Atlassian (Jira, Confluence) About Us What's in it for you... ...

Agile Development using SCRUM. Experience of Oracle/Relational Databases and/or Mongo. Experience of GitLab CI/CD Pipelines. Experience of Apache NiFi. Experience in the use of Atlassian Suite - Bitbucket, Jira, Confluence. Experience of Elasticsearch and Kibana. Experience of Hibernate. Experience of AWS Services such ...

also have Experience developing or using AI applications Experience with NoSQL databases (e.g. MongoDB). Experience with big data processing frameworks (e.g. Apache Spark). Knowledge of Large Language Model (LLM) integration, Retrieval-Augmented Generation (RAG), or Agentic AI frameworks. Experience with high-performance computing (HPC) environments (e.g. SLURM ...

detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing ...

detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing ...

detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing ...

detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing ...

detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing ...

detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing ...

development lifecycle from requirements to deployment Tech Stack Includes: Java, Python, Linux, Git, JUnit, GitLab CI/CD, Oracle, MongoDB, JavaScript/TypeScript, React, Apache NiFi, Elasticsearch, Kibana, AWS, Hibernate, Atlassian Suite What's on Offer: Hybrid working and flexible schedules (4xFlex) Ongoing training and career development Exciting projects ...

integrations, while ensuring solutions meet regulatory standards and align with architectural best practices. Key Responsibilities: Build and optimise scalable data pipelines using Databricks and Apache Spark (PySpark). Ensure performance, scalability, and compliance. Collaborate on requirements, design, and backlog refinement. Promote engineering best practices including CI/CD, code ...

scalable pipelines and delivering reliable data to teams across the organisation. In this role, you will develop and maintain ETL and ELT workflows using Apache Spark, Python and AWS Glue, while architecting solutions that make extensive use of AWS services including S3, Redshift, EMR, Lambda, Kinesis, DynamoDB, IAM, CloudWatch ...

organisation Supporting a move towards a product-aligned, hub-based operating model Technology Stack Cloud-first environment with Microsoft Azure Fabric Python, PyTorch SQL Apache Spark Azure Data Factory (ADF) Git What We’re Looking For 3–4 years’ experience in AI/ML engineering, data engineering, or applied ...

organisation Supporting a move towards a product-aligned, hub-based operating model Technology Stack Cloud-first environment with Microsoft Azure Fabric Python, PyTorch SQL Apache Spark Azure Data Factory (ADF) Git What We're Looking For 3-4 years' experience in AI/ML engineering, data engineering, or applied ...

using AWS Glue (PySpark/Python) Working with structured/semi-structured telecom datasets (CDRs, network logs, subscriber data) Data Lake Technologies: Expertise in Apache Iceberg table format Schema evolution, partitioning, compaction & metadata management Query performance tuning with Athena & Redshift Spectrum Redshift Expertise: Data modeling, distribution styles, sort keys ...

development lifecycle from requirements to deployment Tech Stack Includes: Java, Python, Linux, Git, JUnit, GitLab CI/CD, Oracle, MongoDB, JavaScript/TypeScript, React, Apache NiFi, Elasticsearch, Kibana, AWS, Hibernate, Atlassian Suite What's on Offer: Hybrid working and flexible schedules (4xFlex) Ongoing training and career development Exciting projects ...