Data Engineer

Data Engineer

First things first - if youre looking for a fully remote role with flexible hours unlimited time off and are based somewhere in GMT1 to GMT7 read on

About BlueThrone

BlueThrone acquires and scales profitable mobile apps.

We dont 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. Were 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 arent a support function. Theyre a force multiplier.

Your mission

As our Data Engineer youll own the infrastructure that turns raw events from millions of mobile users into trustworthy data the business runs on.

Youll design and scale the pipelines warehouses and tooling that everything else sits on top of - from finance dashboards to UA decisions to product experimentation. Youll 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. Youll be the person who decides how data flows where it lives and how reliably it gets there.

What youll 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 whats working in the broader data engineering world and raise the bar across the team. We value people who make everyone around them better.

What were 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.

Nice-to-haves

• 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 - its straightforward).

• A strong sense of ownership and the ability to work independently in a fast-paced remote environment.

Youll 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.

• Youre comfortable wearing multiple hats when the situation calls for it.

• You like working with senior people who care about results not titles.

• You believe good data infrastructure is what makes a company actually data-driven - not just slogans.

• You believe in working smarter not harder - prioritizing productivity and quality over punching the clock.

• Above all you follow your passion and have fun while doing it.

Equal opportunities for everyone

To truly represent our vibrant and diverse BlueThrone community we prioritize diversity and inclusion. We are committed to fostering an environment where everyone can do their best work. We strongly encourage applicants of all backgrounds. We consider all candidates regardless of age ethnicity religion sex sexual orientation gender identity family or parental status national origin veteran status neurodiversity or disability. If you need reasonable adjustments at any point in the application or interview process please let us know.