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Senior Data Engineer – Remote UK or Europe Are you a Senior Data Engineer who wants to join a scaling SaaS startup that is just about to close its Series A? A hospitality SaaS company are shaking up the industry, building a modern platform designed around real data. 📍 Remote in UK or Europe. You will need to be +/- 2 hours UTC 💷 £80,000 - £90,000 + Equity 🤝 Interview Process 3 stages – Interview with Founder, Interview with team members, Final Technical Interview Tech Stack: Angular, TypeScript, Liveview, Tailwind, Elixir, Node, Nest, Postgres, GraphQL, Git, Kubernetes, Websockets, AWS Today the platform already processes a large volume of transactional information and has a strong data foundation in place. • ~500GB of structured transaction data, • 100M+ transactions across multiple restaurant types, • A data platform ready to scale The next step is turning this into a high-performance analytics and data infrastructure that powers benchmarking, product insights and machine learning. That is where you come in. We are looking for a Senior Data Engineer who can design and build the analytics architecture that sits alongside the transactional platform and unlocks the value of this data. The Role: You will design and build the analytics infrastructure that powers data across the business. This includes building scalable pipelines, selecting and implementing the right warehouse architecture and ensuring analytical queries can run in seconds across hundreds of millions of records. You will work closely with engineers, data scientists and ML engineers to ensure the platform supports both product intelligence and machine learning use cases. This is a hands-on role where you will own the architecture, pipelines and performance of the analytics stack. What You Will Be Doing • Design and build a scalable analytics architecture capable of handling hundreds of millions of transactions, • Build and optimise an OLAP analytics stack separate from the transactional database, • Design and maintain ETL / ELT pipelines moving data from transactional systems into the analytics warehouse, • Ensure data integrity across 100M+ transaction records, • Optimise analytical queries to deliver sub-second or few-second performance, • Implement monitoring, alerting and testing across data pipelines, • Support data modelling and suggest improvements to existing database structures, • Manage supporting infrastructure across the data platform, • Work closely with ML engineers to support model training and inference, • Collaborate with technical and non-technical stakeholders to turn business questions into efficient data models, • Contribute to the long term data architecture strategy, • Help establish data governance, consistency and quality standards across the platform Experience We Are Looking For • Strong experience as a Senior Data Engineer, • Advanced SQL skills and strong query optimisation experience, • Experience building large scale analytics systems, • Hands-on experience with OLAP databases such as ClickHouse, Snowflake or Amazon Redshift, • Experience designing and implementing ETL pipelines from scratch, • Experience implementing caching strategies using Redis or AWS ElastiCache, • Strong knowledge of AWS infrastructure, • Ability to explain complex technical ideas to non-technical stakeholders Nice To Have • Experience with real time analytics systems, • Experience building benchmarking or BI platforms, • Experience working with very large datasets, • Familiarity with orchestration tools such as Airflow, Kafka or AWS Glue, • Knowledge of partitioning and sorting strategies for large datasets, • Experience in startup or high growth environments, • Understanding of data science concepts such as clustering or recommendation 90 Day Outcomes Within the first 90 days you will be expected to deliver clear progress on the analytics platform. This includes: • Selecting the appropriate analytics warehouse based on performance, cost and scalability, • Designing and deploying ETL / ELT pipelines ingesting data from Amazon Aurora into the analytics warehouse, • Implementing monitoring and alerting across pipelines and warehouse infrastructure, • Reducing benchmark analytics query times to under 2 seconds, • Implementing a caching layer for frequently used analytical queries, • Evaluating the current data architecture and recommending improvements to support long term scale If you’ve spent most of your career working for a large business, think about applying. You’ll need to be able to adapt, pivot and face the challenges that happen in startups. Apply or DM for more information

The Opportunity - (Fully Remote, Perm role) This is a greenfield data platform build. ___ is in the middle of a major AI transformation — a multi‐agent copilot platform (KAI) is already live in production, serving manufacturing clients globally. The AI roadmap is ambitious (agentic AI capabilities, multi‐agent orchestration, voice interfaces), and the next wave of capabilities depends on a strong data engineering foundation. A Databricks lakehouse POC is being evaluated (Unity Catalog, Delta Sharing, PrivateLink to RDS), and the team is assessing the right long‐term analytics platform strategy. This role builds the entire data engineering function from scratch — defining the architecture, tooling, and patterns that power the next generation of AI capabilities. This is an entirely forward‐looking role. While there is an active platform modernisation underway (the engineering team is migrating a .NET platform from SQL Server to PostgreSQL and containerising for Kubernetes), this role’s primary focus is building new data pipelines and analytics infrastructure, not maintaining legacy systems. That said, collaboration with the platform engineering team is important, as the data pipelines need to ingest from both the existing SQL Server estate and the new PostgreSQL databases. Core Technical Requirements • Python — primary language for data pipelines, scripting, and integration with the AI stack. This is a Python‐first team, • SQL (SQL Server + PostgreSQL) — deep experience required across both engines. The platform runs a large‐scale multi‐tenant database estate with per‐client schemas (local, global, corporate). The new platform targets Aurora PostgreSQL, with several modules already migrated. Pipelines must bridge both., • Databricks / Apache Spark — a lakehouse POC is being evaluated with Unity Catalog and Delta Sharing via AWS PrivateLink. Experience with Databricks or equivalent analytics platforms is important for assessing and scaling the right approach, • Apache Kafka — event streaming experience is essential. The platform is evaluating Kafka as the strategic backbone for ordered event logs, consumer group replay, and guaranteed partition ordering as the microservices fleet scales, • ETL/ELT pipeline design — building and maintaining pipelines into a medallion architecture (bronze/silver/gold layers) on Databricks or equivalent analytics platform, • Delta Lake — understanding of lakehouse table formats, time travel, and ACID transaction patterns, • AWS data services — RDS, S3, Lambda, Glue or equivalent. The platform runs entirely on AWS • Linux / CLI proficiency — must be comfortable working AI-Assisted Development Methodology -> Solvace is transitioning towards AI‐assisted development as a core engineering practice. Candidates should demonstrate: • Hands‐on experience with AI coding tools — Claude Code, OpenAI Codex, GitHub Copilot, Cursor, or similar. We’re looking for engineers who have integrated these tools into their professional workflow, not just experimented casually, • Spec‐driven development — ability to write clear technical specifications that can be used to drive both human and AI‐assisted implementation, with strong evaluation criteria and test coverage, • Portfolio evidence — professional projects or side projects that demonstrate AI‐assisted development practices. Contributions to or experimentation with emerging projects like OpenClaw are a strong signal, • Testing and evaluation rigour — experience building robust test suites, automated quality gates, and evaluation frameworks that ensure AI‐assisted code meets production standards Nice-to-Have -> • Apache Flink — for real‐time stream processing as the platform moves from batch to streaming analytics, • Apache Iceberg — experience with open table formats alongside or as an alternative to Delta Lake, • Go or Rust — valued as evidence of strong backend engineering and systems thinking, even though Python is the primary language, • Multi‐tenant data architectures — the platform runs per‐client schemas with tenant isolation requirements. Understanding tenant isolation patterns is a significant advantage, • Terraform / IaC — infrastructure is managed via Terraform; the Databricks POC has been codified in Terraform, • dbt or similar transformation framework, • Manufacturing / industrial data domain experience (sensor data, quality metrics, OEE, SPC), • CDC (Change Data Capture) — the platform is building CDC pipelines for the SQL Server to PostgreSQL transition, • Weaviate or other vector database experience — currently used for semantic search in the AI agent layer Why Join? • Greenfield data platform — the entire data engineering practice needs to be built from scratch. A lakehouse POC is being evaluated but the production architecture is theirs to define — patterns, tooling, and platform decisions from day one, • Direct AI impact — every pipeline they build directly unblocks AI agent capabilities. The KAI copilot is live in production and evolving towards agentic AI — autonomous agents that take actions, orchestrate workflows, and operate across systems. This role provides the data foundation that makes agentic capabilities possible, • Event streaming architecture — opportunity to design and implement a Kafka‐based event backbone, shaping the platform’s real‐time data architecture, • Manufacturing AI — opportunity to work at the intersection of industrial operations and generative AI, a domain with massive untapped potential. Rich, real‐world data: quality inspections, KPIs, maintenance records, safety observations, process parameters across global manufacturing sites, • Small team, high autonomy — the Innovation Hub operates with startup‐level autonomy inside a funded, growing company, • Leadership trajectory — the data function is critical to the platform and will grow. As an early hire, there is an open career path that will grow with the function — earned, not guaranteed

📍 Remote | Full-time 👋 Overview We’re looking for a pragmatic Full Stack Engineer who can lead the evolution of our infrastructure while keeping systems simple, reliable, and maintainable. This is a remote role for someone who enjoys owning infrastructure decisions without stepping away from hands-on product development. Medify Engineering is a team of ten engineers across two teams, and everyone is hands on, including engineering management and the CTO, which helps us keep our processes practical and engineer-friendly. We work to minimise meetings: engineers typically have a 15-minute daily standup for in-progress updates and quick alignment with Product, plus (per two-week sprint) a one-hour refinement with Product, a one-hour planning session with engineering, and a 30-minute company-wide demo. Operational work like deployments, bug triage, and on-call is handled on a rotation, with each person covering one week roughly every two months. 🔧 The Role In your first few months, you’ll focus on migrating our production environment from Heroku to AWS. Specifically, you’ll take our nascent ECS Fargate and Aurora Serverless v2 setup and turn it into our primary production environment. This is not a greenfield project; the foundations are in place with Terraform, and your role is to take the migration across the finish line. Once the initial migration phase is complete, you'll transition back to feature development, while continuing to own infrastructure decisions and improvements as they come up. This isn't a pure infrastructure role - it's a full stack position where you happen to be the person who deeply understands how our systems run. 🚀 What You’ll Do • Lead the migration of our production environment from Heroku to AWS, • Mature and own our ECS Fargate and Aurora Serverless v2 infrastructure, • Extend and maintain our infrastructure-as-code setup using Terraform, • Balance infrastructure ownership with ongoing full stack feature development, • Make pragmatic architectural decisions that prioritise reliability and simplicity 🧠 What We Value We've been paged fewer than 10 times this year - mostly for third-party outages or job queues that self-recovered within minutes. We want to keep it that way. We're not interested in over-engineered solutions or astronaut architecture. We want infrastructure that works reliably, is easy to understand, and doesn't wake anyone up at 3am. Developer experience matters here. If something makes deploys faster, reduces cognitive load, or eliminates a whole class of problems, we're interested. If it's clever for clever's sake, we're not. 🧩 What We’re Looking For • Experience working with AWS and scaling production applications, • Hands-on experience with Terraform, or other infrastructure-as-code tools you can translate from, • Strong full stack fundamentals and a clear understanding of how applications work end-to-end, • A bias toward simple, maintainable, well-understood technologies, • An engineer who designs systems with reliability and on-call sustainability in mind 🎯 Why This Role Works You’ll own a meaningful infrastructure migration, make architectural decisions that impact the whole team, and then return to varied and engaging product work - without being locked into an infrastructure-only silo. 🎁 What We Offer • Competitive salary: £70,000–£85,000, depending on experience, • Fully remote role with flexible working hours, • 25 days’ annual leave, rising to 28 days over three years, • Pension scheme, • Professional development sponsorship (courses, conferences, learning budget), • Matched charity funding, • Private health and dental care after one year of employment

Do you thrive in B2B sales and love turning conversations into long-term partnerships?.Apply below after reading through all the details and supporting information regarding this job opportunity.Are you motivated by achieving results, eager to take ownership, and looking for an environment where you

Senior Technical Coordinator - Aurora House 71 - 75 Uxbridge Road EalingJob Type: Full timeIn a Nutshell…We have a fantastic opportunity for a Senior Technical Coordinator to join our team within Vistry West London, at our office in Ealing.

The team is focused on customer dev experience and often operates across the organisation, closely working with Aurora Serverless, Aurora Storage and Aurora Platform teams. The AWS Aurora CP Developer Experience team explores how to improve Aurora experience for customers, including projects such as

Aurora is committed to building an inclusive workplace.

A cybersecurity awareness company in the United Kingdom is seeking a PostgreSQL Database Engineer.The ideal candidate will administer and optimize PostgreSQL databases in AWS RDS, collaborate with developers, and enhance SQL performance.Responsibilities include managing database security, maintenanc

Sheffield, Leeds, York, Manchester, Burnley.An exciting opportunity to work for a medical device company based in North England is now available for a Quality Assurance Engineering Manager.This is a new position as the company is currently going through a restructure with clear, defined goals.The cl

A leading company in the educational sector seeks a Clinical Psychologist to empower young people with emotional and behavioral support at Aurora Beeches School.

A leading media production company in London is seeking a Production Technology Engineer to maintain post-production systems and improve workflows.The role involves hands-on engineering, automation, and collaboration with teams to ensure smooth media processes from capture to delivery.Ideal candidat

Team is focused on customer dev experience and often operates across the org, closely working with Aurora Serverless, Aurora Storage, Aurora Platform teams. The AWS Aurora CP Developer Experience team explores how to improve Aurora experience for customers, including projects such as Ultra Fast Crea

Many of Aurora’s most important features live at the intersection of. Aurora attracts people who want to build their own companies. Aurora is a digital-first lifestyle management platform built for the world’s highest-performing individuals and organizations.

At Aurora Beeches School, we believe in giving young people the tools and opportunities to create the lives they want for themselves. The post is exempt from the Rehabilitation of Offenders Act 1974 and the Aurora Group is therefore permitted to ask job applicants to declare all convictions and caut

A leading lifestyle management platform in Greater London is seeking a Founding Product Engineer to own and ship user-facing, AI-driven features from inception to production.The role requires strong technical expertise and product ownership skills, focusing on delivering value to members and shaping

The AWS Aurora CP Developer Experience team focuses on improving the Aurora experience for customers, working closely with Aurora Serverless, Aurora Storage, and Aurora Platform teams. Aurora is a distributed, fault‑tolerant database service that leverages a self‑healing storage system. Aurora i

Were building Aurora to be multi-modal and voice-first — youll have a part to play in developing Aurora across devices, so all members of the org (partners, advisors, co-execs, and assistants) can use Aurora simultaneously. Aurora is a digital-first lifestyle management platform built for the

Team is focused on customer dev experience and often operates across the org, closely working with Aurora Serverless, Aurora Storage, Aurora Platform teams. The AWS Aurora CP Developer Experience team explores how to improve Aurora experience for customers, including projects such as Ultra Fast Crea

A digital lifestyle platform in the UK is seeking a Founding Mobile Engineer (Flutter) to enhance its mobile app for elite users.This impactful role requires strong Flutter experience, attention to detail, and collaborative skills.You'll be responsible for core features, API integrations, and optimi

A dynamic B2B company in the UK is looking for an Account Executive to own the full sales cycle and drive growth in the UK market.You will identify potential clients, conduct needs assessments, and build long-term relationships.The ideal candidate has a proven track record in B2B sales and excellent

Aurora is backed and chaired by Alex Macdonald, the most successful founder in this category. Aurora is built in person from our offices in London, New York, and Los Angeles. Many of Aurora’s most important features live at the intersection of.

A technology solutions partner is seeking a Remote DB DevOps Engineer who will be responsible for designing and supporting critical database infrastructures.The ideal candidate should have over 7 years of DBA experience and proficiency in AWS databases, distributed systems, and automation tools.This

A digital lifestyle management platform is seeking a Founding Product Engineer to own and ship user-facing, AI-driven features from start to finish.This hybrid role involves working closely with the engineering team to design and implement workflows, ensuring high-quality delivery.The ideal candidat

Aurora is committed to building an inclusive workplace.

Aurora is backed and chaired by Alex Macdonald, the most successful founder in this category. Aurora is built in person from our offices in London, New York, and Los Angeles. Many of Aurora’s most important features live at the intersection of.

You will be responsible for delivering high-quality graphic and motion design across Aurora’s client work and internal output. Own and apply Aurora’s visual identity across business development, marketing and communications. Please send your CV toinfo@auroramedia.

A leading lifestyle management platform in London is hiring a Founding Product Engineer to own and ship AI-driven features.This hybrid role blends engineering and product ownership, allowing you to collaborate closely with the CTO and internal teams.The ideal candidate has a strong technical foundat

A leading media production company is seeking a Production Technology Engineer in London to oversee media systems and workflows in both pre-production and post-production.The ideal candidate will have a degree or equivalent experience in Broadcast Technology, Media Engineering, or Computer Science,

A medical device company in North England seeks a Quality Assurance Engineering Manager.The role involves overseeing compliance with quality standards, leading a team of quality professionals, and driving process improvements aligned with ISO13485.Candidates should demonstrate experience in quality

A creative media agency based in London is seeking a Designer with strong graphic and motion design skills to support diverse client projects.You will deliver high-quality graphic and motion design across various outputs, collaborate with multiple teams, and manage projects in a fast-paced environme