Location: London, England, GB

On-Site | Full-time

Compensation: £110K - £150K GBP

Our client is a high-velocity, London-based applied research lab reshaping the future of B2B operations and sales. By building highly intelligent, agentic workflows and automating high-volume execution, they empower businesses to focus on deep, high-value human connections. Operating as a talent-dense, seed-stage, revenue-generating startup, the team ships to production daily, tackles highly ambiguous engineering challenges, and works at the cutting edge of AI capabilities.

They are seeking a Staff Engineer to serve as one of the most senior Individual Contributors (ICs) on the engineering team. In this player-coach role (~70% IC, ~30% technical leverage, mentoring, and architectural leadership), the successful candidate will not simply execute tickets, but will instead own complex, ambiguous problem spaces end-to-end.

This is a fully on-site role based in Piccadilly, London, designed for a builder who thrives in a fast-paced, highly collaborative, and high-standard engineering culture.

Key Responsibilities

Location: London, UK

On-Site | Full-time

Compensation: Competitive Compensation

Our client is an early-stage, high-impact, revenue-generating AI startup that is fundamentally redefining business automation. While most applied AI companies focus on selling software tools, this organization sells completed business outcomes—delivering highly automated, autonomous pipelines that directly close revenue for clients ranging from fast-growing startups to Fortune 500 enterprises.

With strong product-market fit, consistent month-over-month growth, and a clear roadmap, the engineering team is currently scaling up. This is a rare opportunity to join an elite, tight-knit, and highly leveraged engineering team where every line of code directly drives revenue and shapes foundational systems from scratch.

The team operates in a fast-paced, high-momentum environment that values intense collaboration. To maintain this high-engagement culture, this role is 100% on-site (five days a week) at the client's office in Piccadilly, London.

Key Responsibilities

About DSI

Founded in 1984, DSI is a family-owned company committed to delivering exceptional value and measurable results to our clients and partners. Our comprehensive services include sales management, marketing support, hardware logistics, immersive training, engineering expertise, and proprietary software solutions—all designed to drive growth and operational efficiency.

At DSI, we believe strong relationships are the foundation of lasting success. We serve as a one-stop solution across a range of markets—including mobility, broadband, video, commercial, residential, Lodging & Institutions, and Multi-Dwelling Units—empowering our sales partners to uncover new opportunities and maximize their potential.

Role Summary

We are seeking a Business Intelligence (BI) Developer to join our Data and Analytics department. This role is critical for transforming raw data into actionable business insights through complex analysis, mining, and visualization. You will work closely with team leaders to understand the nuances of DSI’s business, ensuring we capture, report, and act on data related to customer and operational performance.

Key Responsibilities

Location: New York, United States (Hybrid) 

Hybrid | Full-time

Compensation: $180K - $320K

Our client is a high-volume decentralized finance (DeFi) protocol based on Arbitrum, facilitating leveraged trading of real-world assets—including commodities, forex, indices, and equities—alongside crypto with full self-custody.

The client is seeking a Senior Data Engineer to spearhead infrastructure initiatives, optimize high-throughput data processing, and establish modern data engineering best practices. This role will focus on scaling data pipelines and building an advanced infrastructure layer that empowers engineering teams with self-service capabilities for deploying applications, requesting infrastructure, and managing monitoring systems.

Key Responsibilities

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are seeking an experienced Lead Consultant / Project Manager to drive the delivery of strategic data and AI-powered solutions for a leading financial services client. This role combines consulting, business analysis, product strategy, and project leadership, requiring close collaboration with business stakeholders, technical teams, and executive sponsors.

The ideal candidate will have a strong background in Wealth Management, Insurance, or Financial Services and possess the ability to translate complex business workflows into scalable digital products and analytics solutions.

About the Role

We are seeking an experienced Senior Databricks Data Quality Engineer to lead the design, implementation, and automation of enterprise-scale data quality frameworks within a Databricks environment. The successful candidate will play a key role in establishing data quality controls, profiling frameworks, remediation processes, and AI-assisted quality monitoring across a large-scale data platform consisting of 170+ datasets and over 1,300 Critical Data Elements (CDEs).

This role requires strong expertise in Databricks, PySpark, Delta Lake, MLflow, and modern data quality management practices.

We are hiring on behalf of our client, an elite, venture-backed digital asset infrastructure firm who is seeking a strategic and highly autonomous Founding Data Lead. Backed by top-tier Web3 investors including Paradigm and Dragonfly, the client is building foundational, institutional-grade stablecoin infrastructure and full-service platforms to transform how global value moves.

As the Founding Data Lead, the successful candidate will build the organization’s data and analytics function from the ground up. This role offers high visibility and immense autonomy, with ownership over how data is defined, structured, and utilized across every facet of the business. By mapping data across the entire stack—encompassing onchain, product, financial, and operational data—this individual will translate raw behavioral and transactional metrics into actionable insights that directly shape product development, investment strategies, and growth trajectories.

Key Responsibilities

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

Location: Eastern or Western Europe only.

Remote | Full-time

Compensation: €60K–€80K EUR

We are hiring on behalf of our client who is seeking a skilled Software Engineer - Backend & Data. The organization analyzes over 20 billion search signals to predict the next major consumer trends, enabling brands to optimize their marketing and product development strategies.

In this role, the successful candidate will help design and implement the next iteration of the data pipeline, storage solutions, and APIs backing a high-traffic SaaS platform. This is a remote, full-time contractor position open to qualified candidates located within Europe, operating with a high degree of autonomy.

Key Responsibilities

Robusta assists organizations in transitioning to a digital-first approach, crafting unforgettable experiences for their customers. We provide strategy, design, product, and technology services to prominent businesses and brands, utilizing our go-to-market expertise to facilitate seamless customer experiences and enhance conversion rates.

About the Role

We are seeking a highly experienced Senior Data Engineer to lead the technical design, implementation, and delivery of an enterprise-grade, AI-ready Data Lakehouse platform. This role is critical in building the foundational data layer for a large-scale digital transformation initiative that will support AI agents, digital workers, and knowledge graph (ontology) systems.

The ideal candidate will have strong software engineering experience with a focus on data pipeline development, data architecture, and scalable distributed systems. You will play a key role in designing and maintaining robust data infrastructure that enables advanced analytics and AI capabilities.

This position also involves technical leadership, mentoring engineering teams in a collaborative co-building model, and ensuring long-term operational ownership.