26 to 36 of 36 Remote/Hybrid Data Ingestion Jobs

developed tools such as dashboards and portfolio management utilities). The engineer will play a key role in modernizing the platform architectures while improving data pipelines, system reliability, and development standards. You will work in a fast-paced environment requiring strong expertise in data engineering, application development … e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‐generated code. Design, build, and maintain data engineering workflows and platform services supporting the Vision platform and model delivery ecosystem Develop and extend platform components responsible for data ingestion ...

testing process, driving much of the testing at all stages.Experience in trading systems architecture: Familiarity with Order Management Systems (OMS), exchange gateway connectivity, market data ingestion and processing, as well as high-throughput, low-latency systems.You take a pragmatic approach to developing clean solutions to complex problems.Basic understanding … algorithms, data structures, databases and distributed systems is must.COMPENSATION & PERKSFull-time salary based on experience and meaningful equity in an industry-leading companyRole based in our London office, with a mandatory in-office presence four days per weekWork from Anywhere Policy: You can work remotely from anywhere ...

Inside IR35) We are seeking an experienced Senior .NET C# Engineer to join a fast-paced project focused on building and enhancing data ingestion and search capabilities using Elasticsearch. Role Overview You will play a key role in designing and developing index ingestion processes that populate Elasticsearch … indices. This includes working with event-driven architectures and translating incoming data into a consistent canonical model. Key responsibilities include: Building ingestion pipelines consuming data from Azure Event Hub and Kafka streams. Mapping incoming data (largely 1:1) into a canonical model, with additional metadata enrichment ...

decision-making and user experiences.Working as part of a high-performing engineering team, you will be responsible for developing AI-driven workflows, integrating diverse data sources, and building scalable cloud-native applications that combine modern AI capabilities with enterprise-grade software engineering practices. Key Responsibilities Design, develop and deploy … prompt engineering strategies and integrate Model Context Protocol (MCP) capabilities. Develop intelligent workflow solutions including context-aware and ambient intelligence applications. Integrate and process data from multiple internal and external sources. Design and implement event-detection algorithms and real-time intelligence capabilities. Build scalable backend services and APIs supporting ...

Incident Response: React effectively to production failures, managing triage efforts, engaging appropriate teams, and communicating with management and technical escalation. Documentation and Reporting: Maintain data quality and completeness of incident tickets, ensuring all impacts are accurately recorded in the system of record. Prepare professional documents and ad-hoc reports … processes. Ideal Candidate Profile: Technical Expertise: Familiarity with enterprise network infrastructure, including routing, switching, wireless, and SD-WAN. Hands-on experience with Splunk for data ingestion, searches, and dashboard creation would be a big plus. Analytical Skills: Strong analytical skills with an attention to data quality, capable ...

Splunk Enterprise and/or Splunk Cloud and certified to architect or consultant level Experience with monitoring, logging, and observability solutions Strong experience with data onboarding, parsing, and transformation Good understanding of Linux platform and infrastructure Experience in incident, problem, and change management processes Ability to troubleshoot complex issues … platform (Cloud/ITSI) to meet business and operational requirements Provide support for production issues, including incident, problem, and change management Optimise platform performance, data ingestion, and search efficiency Support platform upgrades, migrations, and onboarding activities Collaborate with engineering, DevOps, and application teams to onboard workloads and improve ...

platforms are secure, governed, and ready for production. What You'll Be Doing Design end-to-end AI and Machine Learning architectures, from data ingestion through to model deployment and monitoring. Define scalable cloud-native AI solutions using Google Cloud Platform (GCP). Lead the architecture of enterprise … real-time, batch and streaming AI inference solutions. Ensure AI solutions meet governance, security, regulatory and compliance requirements within financial services. Collaborate with engineering, data, security and business teams to deliver production-ready AI capabilities. Provide technical leadership and architectural guidance across multiple workstreams. What We're Looking ...

STEM subject 3+ years in industry building production ML systems Python + PyTorch/JAX expertise for training, inference, and model export Experience building data pipelines for complex scientific/engineering datasets Solid software engineering fundamentals - testing, CI/CD, clean APIs End‐to‐end ML system ownership from … data ingestion to model deployment Clear communication - writing specs, documenting APIs, presenting to customers Familiarity with circuit simulation or EDA tools (nice to have) C++/CUDA experience for performance‐critical components (nice to have) Startup or fast‐moving team experience Why consider it: Competitive salary, bonus ...

reliability, performance, and compliance across a complex, enterprise-scale environment. Key Responsibilities Maintain and administer the Splunk platform including Splunk Cloud and ITSI, managing data ingestion, indexing, parsing, and search performance optimisation. Provide production support across incident, problem, and change management activities, troubleshooting complex Splunk and infrastructure issues … cost optimisation. Top 5 Skills Splunk administration expertise - Strong hands-on experience administering Splunk Enterprise and/or Splunk Cloud at enterprise scale, including data onboarding, parsing, transformation, and performance tuning; Splunk certification is a strong advantage. Monitoring & observability - Proven experience with monitoring, logging, and observability solutions across infrastructure ...

take technical ownership of Elasticsearch clusters, Logstash, Kibana, Beats, Elastic Agent and Fleet, while delivering solutions across SIEM, observability, threat detection and high-volume data ingestion. You will design highly available and resilient platforms, optimise cluster performance, implement security controls and automation, and provide senior-level technical support. ...

systems and methodologies. Identity based threat detection and prevention. Privileged Access and Session Management SIEM Management: Design, implement, and maintain of workspaces, including data connectors, Logic App, Function App, analytics rules, workbooks, and playbooks. Develop and refine custom queries for advanced threat hunting, incident investigation, and reporting. Optimize SIEM … performance, cost, and data retention policies Identify new log sources work closely with infrastructure teams Identify, onboard, and configure critical security log sources with a focus on critical infrastructure services such as Active Directory (Domain Controllers, ADFS), network devices, firewalls, servers (Windows/Linux), and cloud infrastructure logs. Manage ...