4 of 4 Remote Data Engineering Jobs in East London

Company Description At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased … becoming the worlds leading job-tech platform. Job Description The role of Product Analytics Manager in our company is at the intersection of several disciplines: Product Analytics, Insights Analytics, Data Engineering and Data Science. Your teams projects will cover a broad range of topics, from working with engineers to implement event tracking on our platforms, all the … way to generating data insights and sometimes building predictive models, ultimately helping our Product organisation deliver great products, which solve meaningful user problems. You and your team are part of a larger Product Analytics group, and will be working closely with Product Directors, Heads of Product, Data Engineers, Data Scientists and many other stakeholders to ensure we More ❯

Lead Data Engineer, Snowflake, 4 months, Remote, CO7368 A leading software consultancy requires a Lead Data Engineer/Tech Lead with strong Snowflake skills - for the next 4 months with the likelihood of significant extension - to provide technical leadership for a prestigious client project to deliver an innovative data platform. Working remotely and outside of IR35, the … Snowflake Lead Data Engineer/Tech Lead will actively work on delivering the technical solutions whilst carrying out code reviews, setting best practices, ensuring code quality, keeping everyone aligned from a technical standpoint, and fostering good communication and collaboration. This will involve: Working with the project owner to gather ongoing requirements from the client Improving the transparency and traceability … of data through well-documented pipelines and clear data lineage. Empowering internal teams with cleaner, structured data, reducing dependence on tribal knowledge and manual interventions. Enabling future scalability by establishing robust, modular foundations Experience Required: Snowflake expertise Solid data engineering expertise including strong SQL and Python Proficiency in DBT for transformation tasks Experience with Dagster More ❯

Senior Software Engineer - Backend & Data | Fully Remote (UK) Founding Engineer | Python | GCP | Terraform | Event-Based Systems | Data Pipelines An innovative, mission-driven LegalTech SaaS start-up is looking for a Senior Product Engineer (Backend & Data) with deep experience in Python, Product development, and Data engineering. Role Information: Salary : Up to £100,000 (DOE) + Equity Location … only) Stack : Python , TypeScript, GCP, Pub/Sub, SQL & NoSQL, IaC (Terraform), CI/CD (GitHub Actions), Observability tools, AI tooling You’ll join a remote first, high-trust engineering team working with a modern, cloud-native stack - with real influence over technical decisions from day one. You’ll take technical ownership of the backend to ensure it’s … robust, scalable, and ready for real customers, while adding new Data-driven features, optimising performance, and shaping the long-term Product roadmap. While your focus will be backend systems in Python, you’ll also work across the stack, collaborate directly with users, and bring a strong Product mindset to every decision. This role is ideal for someone who thrives More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯