51 to 75 of 260 Apache Spark Jobs in the UK

grade code Distributed Data Processing Experience building and operating: batch processing systems distributed data systems near real-time streaming pipelines Familiarity with: Kafka Flink Spark Databricks experience is a strong plus Databases & Data Warehousing Comfortable working with: RDBMS data warehousing solutions Strong understanding of data modelling aligned with business ...

concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, and model governance. Excellent communication and stakeholder management skills with ...

twin platforms.* Experience with vector databases, embeddings, semantic search, or RAG.* Experience with streaming data platforms such as Kafka, Pub/Sub, Flink, or Spark Streaming.* Experience supporting closed-loop automation, predictive assurance, or self-healing network use cases.* Experience working with OSS systems, inventory platforms, assurance systems ...

concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, model governance, and the practical application of responsible AI within ...

strong Python/PySpark engineers who can learn Foundry quickly are encouraged to apply. Essential qualifications • Extensive experience with Python and PySpark/Apache Spark. • Proven track record designing and delivering scalable data pipelines and data products. • Strong SQL and data modelling skills. • Experience with modern data architectures ...

twin platforms. Experience with vector databases, embeddings, semantic search, or RAG. Experience with streaming data platforms such as Kafka, Pub/Sub, Flink, or Spark Streaming. Experience supporting closed-loop automation, predictive assurance, or self-healing network use cases. Experience working with OSS systems, inventory platforms, assurance systems ...

data pipeline orchestration tools Containerisation (Docker, EKS, AKS, Kubernetes) Proficiency in CI/CD principles and tools Familiarity with open-source data tools (e.g., Spark, Kafka, PostgreSQL) Infrastructure as Code (Terraform, Ansible) Air-gapped development Automation Client/stakeholder management Public sector domain understanding Technical architecture Experience: You will ...

experience designing and implementing multi‐agent architectures Enterprise AI Integration & Data API‐ and event‐driven integration of AI into enterprise workflows Data platforms: Databricks, Spark, Snowflake; streaming via Kafka Backend & Distributed Systems Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus) Architecture: Microservices, domain‐driven design, event ...

control, and Responsible AI/MRM compliance Enterprise AI Integration & Data API- and event‐driven integration of AI into enterprise workflows Data platforms: Databricks, Spark, Snowflake; streaming via Kafka Backend & Distributed Systems Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus) Architecture: Microservices, domain‐driven design, event ...

reviews and continuous improvement Skills & Experience * Commercial experience in Data Engineering * Strong Python or Java development skills * Experience with AWS cloud services * Knowledge of Apache Spark, Hadoop, NiFi or similar big data technologies * Experience building ETL/ELT pipelines and processing large datasets * Understanding of software engineering best ...

Architecture.- Strong programming skills in Python and SQL.- Familiarity with cloud platforms such as AWS, Azure, or GCP.- Knowledge of Snowflake and experience with Spark/PySpark.- Experience in designing and implementing modern data platform engineering solutions.If you are ready to make an impact within a dynamic team ...

multidisciplinary team to support and enhance over 70 active BI products. What You'll Bring Essential Skills & Experience: Core Technologies: Azure Databricks (or similar Spark-based platforms) and Azure Data Factory (ADF). Languages: SQL and Python. Data Platforms: Azure Data Lake and SQL Server RDBMS. ETL Tools ...

security Practical cloud‐native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands‐on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial ...

security Practical cloud‐native experience Preferred Qualifications, Capabilities, and Skills: Experience with modern data technologies such as Databricks or Snowflake Hands‐on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial ...

security Practical cloud‐native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands‐on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial ...

evolving platform stack — from data ingestion and event processing to REST services and internal tooling. Build and maintain streaming and batch processing systems (Flink, Spark, Kafka) that power real‐time and analytical workloads. Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with … Willingness and ability to take on new technologies as our stack evolves. Nice to Have Experience with stream processing frameworks such as Flink or Spark Streaming. Experience with task orchestration tools such as Apache Airflow or similar systems. Experience working with and designing infrastructures for large‐scale data ...

Senior Databricks Architect - London (Hybrid) - Databricks - Spark - PySpark - AWS - Up to £115,000 + Bonus Our client, a large-scale organisation undergoing significant investment in data and cloud technologies, is seeking an experienced Senior Databricks Architect to join its expanding Data & AI practice. This is an exciting opportunity … real-time data pipelines from legacy and modern source systems Implementing real-time and event-driven data processing solutions Developing data transformation frameworks using Spark, PySpark and SQL Designing Lakehouse architectures using Databricks and Medallion Architecture principles Creating scalable, reusable data products to support modern data operating models Integrating ...

consultancy environments Senior Data Engineering Consultant | DESIRED SKILLS Experience working across multi‐cloud platforms including Azure, AWS, or hybrid data environments Exposure to Databricks, Apache Spark, Azure Synapse, or similar distributed processing technologies Familiarity with systems integration and API development including REST‐based services Experience supporting pre‐sales ...

reconciling source and target data. Experience executing functional and data validation testing. Agile experience. Technical Environment Microsoft Fabric Azure Data Factory SQL Python PySpark Apache Spark Desirable Skills Experience introducing test automation. Data quality frameworks. Reporting and analytics testing. Azure DevOps. Contract Details UK-based London office ...

what already exists Deep fundamentals in Python or a functional language like Scala Experience designing and building big data applications with stacks like Databricks, Apache Spark, HDFS, HBase, Snowflake Real command of test-driven development and code quality, this matters as much to us as your data stack ...

Work with container technologies Core Data Engineering Strong programming proficiency in Java or Python. Hands-on experience with at least one of: Kafka, Flink, Spark Solid understanding of stream processing concepts Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ ...

driven decision making. What youll be doing Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across modern ...

driven decision making. What you'll be doing Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across ...

experience with the SQL Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake). Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/ ...

systems Comfortable building from scratch in a fast-moving, product-led environment Experience with vector databases and vector search in modern AI systems Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures Cloud experience (AWS, GCP or Azure) is a plus Why join High impact and ownership ...