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Data Engineer (Marketing & Analytics Focus) - Remote

Data Engineer (Marketing & Analytics Focus) - Remote

ReplikaBudapest, HU
Több mint 30 napja
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Munkaköri leírás

An AI companion who is eager to learn and would love to see the world through your eyes. Replika is always ready to chat when you need an empathetic friend.

About Replika

Replika is hands down one of the most exciting forces in AI and tech today. Think : 4,000+ feature articles in the past year, TED Talks with our founder, studies from Stanford and Harvard, Lex Fridman podcast inclusion, and a Quartz founder story. We’re the only empathetic AI out there, making sure all 35M+ users feel seen, heard, and understood—whatever that means for them. So yes, we’re a bit like a future Samantha from Her, but even more powerful and in the palm of your hand. And most importantly, Replika cares for you.

Since 2016, we’ve been redefining conversational AI across iOS, Android, web, and VR. Our AI companions take many forms—holograms, AR / VR avatars, even robots. The ultimate AI life assistant, mentor, therapist, friend. Whatever you need, really, Replika is there for you. Right now, we’re rebranding with one of the world’s top design agencies, scaling our global team, and pushing human-AI connection further than ever. We’re the humanists in AI. And we’re making sure it’s done right.

What you’ll do

  • Design and maintain robust data pipelines integrations : Google Ads, Firebase, AppsFlyer, and Amplitude
  • Drive analytics infrastructure and tooling to eventually build first class scalable data platform
  • Build and manage orchestration workflows using Airflow
  • Maintain and optimize data warehouses and databases (ClickHouse, Postgres, MongoDB, S3)
  • Ensure clean, well-documented event tracking and accurate data mapping across systems
  • Diagnose data quality issues and propose scalable solutions
  • Build and maintain ETL / ELT processes for marketing events data
  • Support Tableau dashboards, maintain jobs and extraction tasks
  • Collaborate with Growth, Analytics, and Engineering teams to improve marketing attribution and event analytics
  • Identify gaps, data anomalies, and areas for improvements in current infrastructure

Requirements

  • 3+ years in Data Engineering, Analytics Engineering, or similar role
  • Strong experience working with :

    • Amplitude (very important)

  • Airflow for data orchestration + ML Pipelines
  • AppsFlyer events data (or Adjust)
  • Proficient in SQL (Postgres, ClickHouse, Athena), database performance tuning, query optimization
  • Strong knowledge of ETL / ELT pipeline building best practices
  • Working experience with AWS pipelines, S3 buckets (data storage and retrieval)
  • Familiarity with MongoDB
  • Experience troubleshooting and validating event-based tracking and attribution models
  • Understanding of marketing analytics and common metrics (CPI, ROAS, retention, etc.)
  • Experience connecting and troubleshooting data sources for Tableau visualizations (or other BIs)
  • Comfortable diagnosing and documenting data flows and source-of-truth issues

    • Nice to Have

  • Familiarity with big data processing frameworks (e.g., Spark, dbt, etc.)
  • Experience with infrastructure-as-a-code tooling, e.g. Terraform
  • Working with dialogue and text data
  • Knowledge of data governance and privacy standards (GDPR, CCPA)
  • Experience working with real-time data ingestion (streaming pipelines)

    • What we offer

  • Competitive salary based on your experience and skill set
  • Opportunity to build an AI product that deeply impacts users
  • Expect to work some European hours, as the team is in Europe. Potential visa support is available
  • Global off-site meetings, including gatherings in San Francisco

    • Work at Replika

    At Replika, growth isn’t a maybe—it’s built in. Do the work. Deliver. One great project could double your salary. Seriously. Who do we think we are? Replika. We move fast. Very. Join us at the forefront of emotional AI.

    Hozzon létre álláshirdetést erre a keresésre

    Data Engineer • Budapest, HU