4 of 4 Remote/Hybrid Permanent Spark Streaming Jobs

Senior Data Engineer - AWS

Location
Glasgow, Scotland, United Kingdom
team. What We’re Looking For Proficient in one of Python, Scala or Java with strong experience in Big Data technologies such as: Spark, Hadoop etc. Practical knowledge of building real-time event streaming pipelines (e.g., Kafka, Spark Streaming, Kinesis). Proficiency … Points For Expertise in Data Modelling, schema design, and handling both structured and semi-structured data. Familiarity with distributed systems such as Hadoop, Spark, HDFS, Hive, Databricks. Exposure to AWS Lake Formation and automation of ingestion and transformation layers. Background in delivering solutions for highly regulated industries. Passion ...

Senior Data Engineer

Location
Greater London, England, United Kingdom
record of building and managing real-time data pipelines across a track record of multiple initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real ...

Staff Forward Deployed Engineer — Real-Time Customer Data

Hiring Organisation
Arm Treasure Data
Location
London, UK
Employment Type
Full-time
that are measurable and tied to business outcomesBuild — Design and validate solutions on both the customer side and the Treasure AI product sideDesign streaming architectures that handle real-world complexity: late-arriving events, schema drift, backpressure, partial failures, and sub-second SLA requirementsDrive technical decisions with clear rationale … software or data engineering experience, with at least 2 years in a customer-facing, embedded, or solutions engineering capacityStrong hands-on experience with streaming and event-driven architectures — Kafka, Flink, Kinesis, Spark Streaming, or equivalent (DynamoDB and MemoryDB/Redis)AWS Cloud Fluency - understand ...

AI Data Scientist - Autonomous Network

Location
United Kingdom
Networks training.**Nice-to-Have Qualifications*** Experience with telecom digital 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 ...