Senior Data Platform Engineer

About Much Better Adventures Much Better Adventures books small-group adventure holidays run by local, independent guides in wild places around the world. We're a certified B Corp, on a mission to get more people into the world's wildest places, support the local businesses who protect them, and prove that adventure travel can be a force for good. We're a community and VC-backed scale-up in one of the fastest-growing sectors of travel, and a remote-first team coming together for annual company meet-ups. The Role We're building something we're genuinely excited about: a small, highly skilled, AI-first data team. We're growing quickly, and the platform underneath us has had to grow with it. Over the past two years we've built something that stands up against companies many times our size — Snowflake, a rigorously tested dbt project, daily ingestion from around 25 sources, orchestration in Dagster, and infrastructure defined in code on AWS. This is an unusual opportunity: a modern, well-architected platform with no legacy tax, and full ownership of it from day one. You wouldn't be inheriting someone else's roadmap — you'd be deciding where this goes next. You'll join as Senior Data Platform Engineer, reporting to the Head of Data & Analytics Engineering. It's a broad role, and that's the appeal. In a given week you might write an incremental dbt model against Snowflake, track down a Dagster asset that quietly stopped landing ad spend, and deploy a Step Function via CDK. We move quickly, and trust matters enormously in a remote team. We also care a lot about doing things properly — tested models, monitored pipelines, and infrastructure you can reason about. What You'll Be Doing Owning our Snowflake warehouse and the dbt project on top of it — around 300 models across raw, transformation and warehouse layers, with roughly 1,700 data tests, versioned model contracts and semantic definitions feeding our reporting Looking after the numbers the business runs on: commissions, cancellations, bookings and marketing attribution all live in these models Owning daily ingestion from around 25 sources through dlt and Dagster — Segment, HubSpot, Google Ads and Analytics, Meta, TikTok and the rest — along with the assets, schedules, sensors and freshness checks around them Running our AWS infrastructure, defined in CDK: Step Functions, Lambda, S3, Athena and Iceberg, with lineage and monitoring on top Leading our observability in Datadog — dashboards and monitors defined as code, Snowflake usage and cost visibility, and alerting that surfaces problems before anyone else notices them Keeping it all healthy — picking things up confidently when something does break, and making sure it doesn't happen twice Using AI tools throughout your work — and helping shape how a modern, AI-first data team operates Requirements How you work You care about getting things right. Attribution, commission and revenue numbers get subtle here, and we'd always rather take the time You thrive on the pace of a fast-growing business. Priorities move quickly, and you'd rather help shape a young function than inherit a fixed one Strong multi-tasking and project skills. Working with AI means you can have several models, pipelines and changes in flight at once, and that only pays off if you can keep track of them all, keep them moving, and judge when each one is finished Deeply comfortable working natively with AI. AI tools are part of how we work every day, and we'd love to hear how you already use them — where they help, where they don't, and how you check what comes back. We'd be especially interested if you've chained systems together through MCP, so an assistant like Claude or ChatGPT can work directly against your warehouse, repo and tooling rather than you copying things between them Comfortable working independently in a remote team — organised, self-motivated and good at managing your own priorities Technical skills Strong SQL and hands-on production experience with a cloud warehouse — Snowflake ideally, though BigQuery or Redshift are fine Solid dbt experience: incremental models, tests, macros, and a view on how a project should be structured as it grows Consistent data instrumentation and collection for web tracking, with hands-on Segment experience. You'd own the event schema behind our clickstream — making sure events, identifiers and campaign parameters are captured the same way across the site, because our attribution, funnel and experiment analysis all depend on it Confident Python. You'll be writing ingestion, orchestration and service code, not just notebooks Experience with a modern orchestrator — Dagster, Airflow, Prefect or similar — including the operational side: retries, backfills, freshness, and the occasional early morning Infrastructure-as-code and cloud fundamentals. AWS with CDK or Terraform is ideal; what matters is that you can deploy and debug your own infrastructure Bonus points for dlt, or experience building ingestion from marketing and CRM APIs (they're all badly behaved in their own special ways) BI tooling — we use Hex, and we're moving the last of our reporting off Metabase TypeScript, for the infrastructure side E-commerce or travel industry experience — or marketplace and subscription businesses more broadly Benefits The warm fuzzy feeling that comes with knowing you are making a huge difference to small independent businesses, local economies, communities and conservation around the world. 38 days holiday per year (inclusive of public holidays) — to be used when you like Competitive compensation aligned with UK market benchmarks and your level of experience Flexible hours setup (40 hours p/w for full-time roles) and a fully remote company Company-wide, adventurous meet-ups Experience what we do: everyone goes on a free trip within their first year A £500 annual travel voucher to spend on a trip or trips 30% employee discount, plus 15% friends and family discount Up to 8% matched contribution pension scheme (UK employees only) Fully comprehensive AXA private healthcare scheme (UK employees only) Life Assurance (UK employees only) Continuous professional development — we're here to help you level up Budget to set up a remote working space and access to co-working spaces Supportive maternity and paternity pay: 16 weeks full pay if you're the primary caregiver, 4 weeks full pay if you're the secondary caregiver What does the typical interview process look like? Every application that makes it through is carefully read by a real member of the team. Stage 1: Screening interview (30 mins) with our People team, so we're aligned on the key requirements and expectations from both sides Stage 2: Informal video call (30 mins) with the Head of Data & Analytics Engineering Stage 3: Technical exercise and interview — we'll walk through our real architecture and some of the problems in it, with the engineer who built it. No whiteboard algorithms Stage 4: Two 30 minute interviews with members of our senior leadership team Salary: £85,000 – £95,000 To start as soon as possible We are an equal opportunities employer and strongly encourage applications from a diverse range of backgrounds and industries. Our flexible working arrangements are designed to support everyone in the team to achieve work/life balance in a way that works for their particular circumstance. Originally posted on Himalayas