4 of 4 Permanent Apache Spark Jobs in Surrey

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/… data pipelines that improve time-to-insight. Knowledge of secure, auditable, and compliant data workflows. Know how on optimising performance and reducing costs through Spark and Databricks tuning. Be able to create reusable, well-documented tools enabling collaboration across teams. A culture of engineering excellence driven by mentoring ...

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 ...

PyTorch) into real customer value Working closely with engineering teams using TypeScript, Node.js, React, and Next.js Partnering with data teams working across AWS, Kafka, Spark, and modern data pipelines Shaping products built on secure, scalable fintech architecture (Event-driven, microservices, serverless) Running discovery experiments and validating concepts at speed ...

data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype, and deploy … summarisation, document processing) Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical ...