- Data Engineer
- First things first - if you're looking for a fully remote role with flexible hours, unlimited time off, and are based somewhere in GMT+1 to GMT+7, read on 🌍
- About BlueThrone
- BlueThrone acquires and scales profitable mobile apps.
- We don't build from zero. We buy apps with strong potential and turn them into category leaders through better product decisions, smarter monetisation, and disciplined user acquisition.
- Today, our portfolio generates tens of millions of downloads and serves millions of monthly active users across multiple verticals. We're profitable, independent, and growing through disciplined bets - not hype.
- Our teams are small and senior. The same people building the product are also discussing the numbers and making decisions.
- Data sits at the center of everything we do - from retention analysis and pricing experiments to UA scaling and cohort profitability. Which means the people who build the data layer aren't a support function. They're a force multiplier.
- Your mission ⭐️
- As our Data Engineer, you'll own the infrastructure that turns raw events from millions of mobile users into trustworthy data the business runs on.
- You'll design and scale the pipelines, warehouses, and tooling that everything else sits on top of - from finance dashboards to UA decisions to product experimentation. You'll work side-by-side with analytics, product, and growth to make sure the stack stays fast, clean, and ahead of where the business is heading.
- This is a hands-on, builder-first role. You'll be the person who decides how data flows, where it lives, and how reliably it gets there.
- What you'll own
- Core data infrastructure: Design, build, and maintain scalable data architecture that keeps up with a fast-evolving portfolio of apps - without becoming a tangled mess as we grow.
End-to-end data lifecycle: Own ingestion, transformation, storage, and modelling. From raw event streams to the final dbt model, the path is yours to design.
Pipelines and automation: Write clean, efficient Python to power reliable pipelines, orchestrated workflows, and internal tools that make the rest of the team faster.
Data transformation with dbt: Lead our dbt project on BigQuery - macros, tests, packages, and the kind of structure that scales without rewrites every six months.
BI and self-serve: Partner with analytics to ship Metabase dashboards and tools that let non-technical teams answer their own questions without pinging you for every query.
Data quality and reliability: Set the bar for what "trustworthy data" means here. Monitor pipelines, catch issues before stakeholders do, and make sure trust in the numbers stays high.
Cross-functional partnership: Sit with product, growth, monetisation, and finance leads to understand what they actually need - not just what they ask for.
Best practices and leverage: Bring in what's working in the broader data engineering world and raise the bar across the team. We value people who make everyone around them better.
- What we’re looking for
- Must-haves
- 5+ years of hands-on data engineering experience (or a closely related role with heavy pipeline and infrastructure work).
3+ years with a cloud data warehouse - BigQuery preferred, Snowflake or Redshift also fine. You understand partitioning, clustering, and the cost side of running queries at scale.
2+ years of production dbt experience: dimensional and incremental models, custom macros, tests that catch real problems, and reusable packages.
Strong Python for data work - 3+ years of writing pipelines, scripts, and internal tooling that other people rely on.
3+ years with orchestration tools - Airflow, Dagster, or Prefect.
Real experience building and maintaining BI dashboards and the infrastructure behind them.
Clear, concise communication. You document what you build, explain trade-offs to non-technical people, and surface blockers early.
Strong sense of ownership and the ability to run independently in a fast-paced remote environment.
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- Experience with mobile apps, gaming, or any high-volume event-driven data environment.
Familiarity with Kafka, Airbyte, or RudderStack for real-time or batch ingestion.
Familiarity with Metabase (or willingness to pick it up in week one - it's straightforward).
A strong sense of ownership and the ability to work independently in a fast-paced, remote environment.
- You’ll love it here if:
- You like small teams, big ownership, and zero bureaucracy.
You think pipelines and infrastructure are creative work, not plumbing.
You prefer clear thinking and quick decisions over endless meetings.
You're comfort
