1 to 25 of 42 Permanent Apache Jobs in the South East

Skills & Experience At least 10 years experience working with JavaScript or Python/Java Previous experience deploying Software into the Cloud EKS, Docker, Kubernetes Apache Spark or NiFi Microservice architecture experience Experience with AI/ML systems more »

offs explicit and understandable to others REQUIREMENTS 7+ years' coding experience, including 3 years in a dedicated ML Engineering role 2+ years’ experience with Apache Spark Experience working with GB+ scale data Experience with deployed ML services Experience deploying multiple ML projects across different environments Productionisation experience in at more »

to production, providing subject matter expertise on the .Net stack and contributing to technical design discussions. You'll use a range of technology including Apache Flink with Java for large scale data processing and will be able to assess and recommend new and emerging technologies, using the best tool more »

to leverage CI/CD tools to streamline data pipeline development and deployment. Proven expertise in designing and implementing ETL pipelines using tools like Apache Airflow, Luigi, Spark, or similar frameworks. Strong understanding of data warehousing concepts and data modelling techniques. Experience with SQL and proficiency in writing complex more »

using Terraform/Docker/Kubernetes. Write software using either Java/Scala/Python. The following are nice to have, but not required - Apache Spark jobs and pipelines. Experience with any functional programming language. Database design concepts. Writing and analysing SQL queries. Application overVIOOH Our recruitment team will more »

within the EU Fusion programme and connections to international HPC communities, showcasing contributions made to the field. Experience in workflow management systems such as Apache Airflow. Familiarity with Research Data Management methodologies,modern database technologies including SQL, NoSQL and Graph Databases, and parallel file access technologies such as MPI more »

data engineering or a similar role. > Proficiency in programming languages such as Python, Java, or Scala. > Strong experience with data processing frameworks such as Apache Spark, Apache Flink, or Hadoop. > Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure. > Experience with data warehousing technologies more »

up and learn new technologies and frameworks Nice to have: Knowledge of databases, SQL Familiarity with Boost ASIO Familiarity with data serialization formats such Apache Arrow/Parquet, Google Protocol Buffers, Flatbuffers Experience with gRPC, http/REST and Websocket protocols Experience with Google Cloud/AWS and/ more »

use Java (for a very small amount of scripting work) Have public cloud experience with AWS or other cloud providers Have an understanding of Apache products such as Kafka and Flake Good knowledge of development using CI/CD Bonus points if you knowledge of: Web products Financial markets more »

experience in data engineering. Experienced in building ETL data pipelines. Relational database experience w/PostgreSQL. Understanding of tech within our stack: AWS/Apache beam/Kafka. Experience with Object Orientated Programming A desire to work in the commodities/trading sector. Permanent/Full-Time Employment. Hybrid more »

. • Troubleshooting networks issues (tcpdump/Wireshark). • Scripting capabilities (SH/Bash/Python/Perl). • Configuration of common services (DNS/Apache/NGINX/Postfix/Squid/SSH/iptables). • Understanding of clustering services, enabling High Availability failover. • Experience with enterprise hardware and more »

pipelines solutions for the ingestion, transformation, and serving of data, as well as solutions for the orchestration of pipeline components (e.g. AWS Step Functions, Apache Airflow). Good understanding of data modelling, algorithm, and data transformation techniques to work with data platforms. Working knowledge of cloud development practices (AWS more »

engineers of varying levels of experience. Flexibility and willingness to adapt to new software and techniques. Nice to Have Experience working with projects in Apache Spark, Databricks of similar. Expert cloud platform knowledge, e.g. Azure What will be your key responsibilities? A technical expert and leader on the Petcare more »

step functions and ECS services. Strong understanding of AWS ecosystems like Lambdas, step functions and ECS services. Experience with data stack technologies, such as Apache Iceberg & Spark. Exposure to Apache Airflow, Prefect, Dagster, DBT. Expertise in data analysis with exposure to data services (such as Glue, Lake Formation more »

catalogue, data quality management platforms). Experience with structured and unstructured data models. Experience with one or more of the following web servers advantageous (Apache, Nginx, MS-IIS). Experience with one or more of the following databases advantageous (MySQL, MongoDB, Sybase). Experience with one or more of more »

AWS ecosystems like Lambdas, step functions and ECS services. Experience of Dremio is a nice to have Experience with data stack technologies, such as Apache Iceberg & Spark. Exposure to Apache Airflow, Prefect, Dagster, DBT. Expertise in data analysis with exposure to data services (such as Glue, Lake Formation more »

to production, providing subject matter expertise on the .Net stack and contributing to technical design discussions. You'll use a range of technology including Apache Flink with Java for large scale data processing and will be able to assess and recommend new and emerging technologies, using the best tool more »

step functions and ECS services. Strong understanding of AWS ecosystems like Lambdas, step functions and ECS services. Experience with data stack technologies, such as Apache Iceberg & Spark. Exposure to Apache Airflow, Prefect, Dagster, DBT. Expertise in data analysis with exposure to data services (such as Glue, Lake Formation more »

Language, Vision AI Common technology components: Google Cloud • App Engine • Cloud Functions • Kubernetes Engine, Compute Engine, VPCs • Cloud Spanner, Cloud SQL and BigQuery • Dataflow, Apache Beam • DialogFlow, Auto ML, AI Platform Architecture • Microservices patterns • Event-driven architectures and message queues • Relational and non-relational databases Languages and frameworks • Java more »

in alignment with strategic business priorities. Workflow Development: gathering requirements and design solutions alongside stakeholders to build workflows which enhance user experience, using the Apache Groovy programming language or Python Develop and implement integrations between Collibra and different platforms and systems within the Society Build, design and upload Microsoft more »

GoLang. - Significant experience with Hadoop, Spark and other distributed processing platforms and frameworks. - Experience working with Open table/storage formats like delta lake, apache iceberg or apache hudi. - Experience of developing and managing real time data streaming pipelines using Change data capture (CDC), Kafka and Apache more »

Work with Hadoop, Spark, and other platforms for large-scale data processing. Real-Time Data Streaming: Develop and manage pipelines using CDC, Kafka, and Apache Spark. Database Management: Handle SQL databases like Oracle, MySQL, or PostgreSQL. Data Governance: Ensure data quality, security, and compliance with best practices. Ideal Candidate more »

development (ideally AWS) Knowledge and ideally hands-on experience with data streaming, event-based architectures and Kafka Strong communication and interpersonal skills Experience with Apache Spark or Apache Flink would be ideal, but not essential Please note, this role is unable to provide sponsorship. If this role sounds more »

teams to support the orchestration of our ETL pipelines using Airflow and manage our tech stack including Python, Next.js, Airflow, PostgreSQL MongoDB, Kafka and Apache Iceberg. Optimize infrastructure costs and develop strategies for efficient resource utilization. Provide critical support by monitoring services and quickly resolving production issues. Contribute to more »

cross-functionally across the business to understand the requirements of the products Designing and implementing performance related data ingestion pipelines from multiple sources using Apache Spark Integrating end-to-end data pipelines ensuring a high level of quality is maintained Working with an Agile delivery/DevOps methodology to more »