16 of 16 Permanent Apache Spark Jobs in the South West

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands ...

skills, with experience of Java or Scala beneficial Experience building large-scale ETL/ELT and data processing pipelines Hands-on experience with Apache Spark and distributed data processing technologies Experience designing and operating cloud-native data platforms, particularly within AWS Familiarity with Docker, Kubernetes and CI/ ...

Management Stakeholder Collaboration Leadership & Mentorship Technology Stack The successful candidate will have experience working with some or all of the following technologies: Data Processing: Apache Spark/PySpark Workflow Orchestration: Apache Airflow Containerisation: Kubernetes Cloud Platform: Microsoft Azure Data APIs & Semantic Layer: CubeJS Programming Languages: Python ...

Must-Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data ...

environments Owning the cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data ...

with the modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic ...

PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence … distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based transformation tooling (e.g. ...

Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit-learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands-on experience with Natural Language Processing, graph analytics and advanced analytical methods. Experience using cloud analytics platforms, with strong ...

Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks Experience working in regulated industries (finance, healthcare, or similar) Security Clearance ...

effectively with technical teams including Data Scientists and MLOps Engineers. Desirable Skills Experience working with Data Science and/or MLOps environments. Experience with Apache Spark. Experience with Scala. Experience working with S3 and cloud storage technologies. Experience with graph databases. Experience with Elasticsearch. Experience with vector databases/ ...

robust data models, ETL pipelines, metadata frameworks, and modern data warehousing solutions. Design and optimise large-scale streaming data platforms using technologies such as Apache Flink and other real-time processing frameworks. Ensure all solutions comply with industry best practices, governance frameworks, and regulatory requirements, maintaining the highest standards … Lambda, Redshift , and related data services. Proven experience designing secure architectures within sensitive or highly regulated environments. Hands-on experience with Apache Flink and real-time data processing architectures. Strong understanding of data modelling methodologies, architectural patterns, and industry standards. Expertise across ETL processes, data integration, data warehousing, distributed ...

large language model (LLM) systems, including retrieval augmented generation (RAG) and fine-tuning. Build scalable ETL/ELT pipelines using tools such as Spark or dbt, so data is high quality, time-stamped, and ready for both training and real-time inference. Design and deploy data collection systems ...

. Experience with Natural Language Processing (NLP) and Large Language Models (LLMs). Experience in areas of model development, data processing and streaming (Spark, Kafka), microservices in python (Flask or FastAPI), and interactive visualisations and User Interfaces (Streamlit, Plotly, Gradio etc). These lists are not exhaustive ...

essential: Background in financial services or regulated environments. Exposure to financial crime domains such as fraud, AML or sanctions. Experience with Spark or PySpark. Familiarity with AWS cloud services and data platforms. You will be assessed on key capabilities relevant to the role, including risk and controls, change ...

hear from you! Advanced Stream Processing & Event-Driven Architecture: Proven track record building, deploying, and operating production-grade, low-latency stream processing pipelines using Apache Kafka (or Kafka Streams, Flink, Spark Streaming). Idempotency & Event Reliability: Deep hands-on experience handling duplicate events, out-of-order log processing ...

Our client is a global technology company. A problem isnt truly solved until its solved for all. Thats why colleagues build products that help create opportunities for everyone, whether down the street or across the ...