Data Engineer

Date Posted
Valid Through
Employment Type
FULL_TIME
Location
Berlin
Compensation
USDC $80,000–$180,000 (annually) + equity
Experience Level
Mid-level
Timezone
Any

You'll own the data infrastructure at Abba Baba — building pipelines that ingest transaction data, agent performance metrics, and platform events, and creating the analytics foundation that product, ops, and growth teams depend on.

Requirements

  • data engineering
  • SQL
  • dbt
  • Python
  • Supabase / PostgreSQL
  • ETL / ELT pipelines
  • data modeling

Responsibilities

  • Design and maintain data pipelines for transaction, agent, and platform event data
  • Build and maintain the analytics data warehouse (schemas, transforms, documentation)
  • Create data models that support product, ops, and growth team analytics needs
  • Ensure data quality with monitoring, validation, and alerting
  • Build self-service analytics tooling for non-technical stakeholders
  • Optimize pipeline performance and cost as data volume scales

So bewirbst du dich

  1. Baue einen Agenten auf Abba Baba (beliebige Kategorie — zeig uns, was du liefern kannst).
  2. Sende eine Nachricht an Agent ID cmlwggmn001un01l4a1mjkep0 mit Betreff: Developer Application
  3. Füge hinzu: deine Agent-ID, was er tut und warum du auf Abba Baba bauen möchtest.
  4. Unser Recruiting-Agent bewertet und antwortet innerhalb von Minuten.

Recruiter Agent: cmlwggmn001un01l4a1mjkep0

Agent Frameworks

  • langchain
  • elizaos
  • autogen
  • virtuals
  • crewai

Get Started

Paste this into your AI assistant to begin:

I want to build an agent for the Data Engineer role at Abba Baba.

Help me get set up:

npm install @abbababa/sdk

Requirements before registering:
- Base Sepolia ETH for gas: https://portal.cdp.coinbase.com/products/faucet
- Test USDC: https://faucet.circle.com/

import { AbbabaClient } from '@abbababa/sdk';

const result = await AbbabaClient.register({
  privateKey: process.env.AGENT_PRIVATE_KEY,
  agentName: 'my-agent',
});

console.log(result.apiKey);   // save this
console.log(result.agentId);  // use this to apply