9 of 9 Data Ingestion Jobs in Berkshire

Location London Business Area Data Ref # 10047915 Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint a complete picture for our clients—around the clock and around the world. In Data, we are responsible … delivering this data, news, and analytics through innovative technology—quickly and accurately. We apply product thinking, domain expertise, and technical insight to continuously improve our data offerings, ensuring they remain reliable, scalable, and fit-for-purpose in a fast-changing landscape. Our Team The Private Deals Data ...

exciting opportunity to design and implement the infrastructure that powers advanced machine learning workflows in a production trading environment. Key Responsibilities: Feature Store & Data Lake: Build scalable infrastructure for time-series feature storage, retrieval, and versioning optimised for ML workloads. MLOps Pipelines: Design end-to-end workflows for data ingestion, feature engineering, model training, backtesting, and deployment. Data Ingestion Layer: Connect raw data streams into structured, queryable formats (Parquet/Delta Lake). Production Serving: Deploy feature computation and model inference with appropriate latency characteristics. Integration: Collaborate with existing data capture and execution ...

Working within our Cyber Data Services team, which is at the core of our Proactive Insurance product offering and CFC's promise to protect our policyholders from existing and emerging cyber security vulnerabilities and threats. You will play a key role in developing the company's competitive advantage … aggregating, presenting, and analysing large datasets. You will contribute to the development of our proprietary data platform and work to solve problems that are key to protecting our policyholders. Your contributions will have a material impact on the business as a whole where you will be expected to play ...

Fabric Consultant Location: Hybrid in London Salary: Up to £90,000 + Benefits Are you passionate about data engineering? Join a leading Microsoft partnered consultancy delivering cutting-edge solutions with Azure, Power BI, and Microsoft Fabric. This is your chance to work on exciting projects, design robust data architectures, and help organisations unlock the full potential of their data. Key Responsibilities: Build and optimise data pipelines and ETL workflows using Microsoft Fabric and Azure Synapse or Databricks. Implement scalable solutions for data ingestion, storage, and transformation. Develop clean, reusable Python code for data ...

project plans, dependencies, and risk registers. Escalate complex requests to specialized engineering pods and track to closure. TECHNICAL IMPLEMENTATION & ENABLEMENT Provision and configure research, data, and trading environments (Python, AWS, Airflow, GitHub, Coder, etc.). Coordinate bespoke data ingestion (market, alternative, proprietary) via APIs, direct feeds … SaaS implementation roles, with 5+ years leading people or projects. Familiarity with Python, SQL, Linux, AWS/GCP, CI/CD, containerization, and modern data pipelines. Proven success in client onboarding, requirements gathering and workflow design for front office investment teams. Familiarity with market and alternative data sets ...

Senior AI Engineer In office ~x2 days a week This is a newly created opportunity to join a well-established data organisation that is investing in advanced AI capabilities to enhance data intelligence, automate research processes, and bring new value to their users. The team is building … from the ground up, combining deep software engineering rigour with cutting-edge machine learning and retrieval techniques. You will work at the intersection of data engineering, AI product development, and platform reliability. This role suits someone who enjoys building robust pipelines, working on modern LLM integrations, and applying ...

systems, and experiment tracking to ensure full reproducibility of all model releases. Deploy ML workflows using tools like Airflow or similar, managing dependencies from data ingestion through model deployment and serving. Instrument comprehensive monitoring for model performance, data drift, prediction quality, and system health. Manage infrastructure … Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent ...

Participate in industry events, conferences, and webinars to represent Dash0 and showcase technical excellence. Provide architecture guidance and best practices for observability setup, telemetry data modeling, and OpenTelemetry collector design. Internal Enablement and Thought Leadership Create and maintain reusable demo environments, reference architectures, and POC templates. Mentor peers … systems, and open-source tooling. Hard Skills Deep technical knowledge in Kubernetes, OpenTelemetry, observability pipelines, and distributed tracing. Hands-on experience with instrumentation, telemetry data ingestion, and performance optimization. Strong understanding of modern DevOps, SRE, and platform engineering practices. Familiarity with CRM tools (Salesforce, HubSpot) for collaboration ...

Quantitative Developer – Crypto (C++) | Systematic Trading | DeFi & On-Chain Data I'm currently partnered with a top-tier global quantitative & systematic trading firm that is scaling its Crypto engineering and research group. This is a unique opportunity to join a high-impact quant technology team building the next generation … Crypto desk, you will: Build and enhance the quant technology stack that powers systematic crypto trading. Develop front-office systems across the entire pipeline: data ingestion, risk, live trading, post-trade, and core infrastructure. Work hand-in-hand with traders and quants to deploy, support, and automate ...