---
title: 'Data Engineer at Bureau'
canonical: 'https://feeny.ai/job/data-engineer-bureau-bengaluru-ejp77nz8vrkr'
type: 'job'
last_seen: '2026-09-22'
---

# Data Engineer at Bureau

- **Company:** Bureau
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Posted:** 2026-09-22
- **Last confirmed live:** 2026-09-22
- **Apply:** https://jobs.ashbyhq.com/bureau/0896ed82-d54c-4e35-81a9-bb3818056034

## Job description

## About Bureau

Bureau is a unified risk decisioning platform for Compliance, Fraud, and Transaction risks. Our platform is a single decision-making engine, powered by a 1 billion+ identity knowledge graph. Over 150 Banks, fintechs, retailers, and digital platforms use Bureau to verify identities faster and stop fraud earlier globally. Bureau has raised $50M+ from renowned Silicon Valley and global investors including Sorenson Capital and PayPal Ventures and is expanding rapidly from APAC to Americas, Europe, and beyond. Why Bureau? Bureau is building the infrastructure that makes digital identities and transactions safe and trustworthy for billions of people. The mission is big, the problems are complex, and the impact is real. We hire people who want that level of responsibility. People who move fast, build systems from scratch, and care deeply about turning strategy into execution. If you want predictability or narrow scope, this won't be your place. If you want to shape how a scaling global company operates—keep reading.

## What You'll Do

- Build and maintain batch and streaming pipelines that ingest, clean, and transform data from device SDKs, internal services, partner APIs, and third-party data providers
- Write and own backend services and RESTful APIs that serve data to internal teams and to real-time decisioning paths
- Develop Airflow DAGs powering reporting, compliance analytics, model training, and feature pipelines, and keep them healthy day to day
- Write Spark jobs and SQL transformations against our data lake, and tune them when they get slow or expensive
- Add monitoring, alerting, and data quality checks to the pipelines you own so problems surface before a stakeholder notices
- Debug production issues across the stack: a Kafka consumer lagging, a schema change breaking downstream, a query that got 10x slower after a data volume jump
- Work with the infrastructure your pipelines and services run on — containers, deployments, cluster configs — and help keep it stable and cost-sane
- Contribute to our identity graph work, helping model relationships between entities to surface fraud rings and hidden linkages
- Write documentation and tests, participate in design reviews, and help keep our schemas and contracts sane as the system grows

## What You'll Bring

Must have

- 1–3 years of professional software engineering experience, with meaningful exposure to data-intensive systems
- Strong programming skills in Python, Java, or Scala, and the ability to write production-quality, tested code
- Strong SQL: joins, window functions, aggregations, and enough of a mental model of query execution to know why something is slow
- Working understanding of databases, including the difference between OLTP and OLAP systems and when each is appropriate
- Hands-on experience with at least one distributed data processing framework (Spark preferred) or a genuine willingness to ramp up quickly
- Experience building or maintaining backend services and REST APIs
- Familiarity with a major cloud platform (AWS preferred) and core services like S3, EC2, and managed databases
- Solid computer science fundamentals: data structures, concurrency, and the basics of distributed systems
- Comfort with Git, code review, and CI/CD

## Nice to have

- Infrastructure and systems knowledge — Docker, Kubernetes, Terraform or similar IaC, and a working sense of how services get deployed, scaled, and monitored in production
- Experience running or tuning distributed workloads: cluster sizing, resource tuning, or tracking down a bottleneck between compute and storage
- Exposure to Kafka or MSK, or any streaming/event-driven system
- Experience with Airflow or a similar orchestration tool
- Exposure to EMR, Athena, ClickHouse, Databricks, or Snowflake
- Awareness of lakehouse table formats such as Iceberg, Delta Lake, or Hudi
- Familiarity with observability tooling — Prometheus, Grafana, Datadog, or equivalent
- Any experience with graph databases (Neo4j, TigerGraph, Amazon Neptune)
- Interest in or exposure to fraud, risk, identity, fintech, or other high-stakes real-time domains
- Exposure to ML workflows: feature pipelines, training data preparation, or model serving

## What We Look For

- You debug rather than guess, and you can explain what actually went wrong
- You ask what the data is for before deciding how to model it
- You're curious about the layer below the one you work in — how your code actually runs, where it fails, what it costs
- You're comfortable being new to a tool and getting productive in it quickly
- You care that numbers are right, because at Bureau a wrong number is a wrong risk decision

Our Culture

- We hire self-motivated people and get out of their way
- We value performance, not hours worked
- Speed, ownership, and impact matter most

## Compensation

- Competitive salary + potential equity
- Health benefits, flexible PTO, learning budget

## About Bureau

## Company Overview
- **One-liner**: Bureau provides a no-code, AI-powered unified risk decisioning platform for real-time fraud prevention, identity verification, and compliance across the customer lifecycle.
- **Entity Type**: Private
- **Headquarters**: San Francisco, California, USA (with major offices in Bangalore and Mumbai, India)
- **Founded**: 2020
- **Founders**: Not publicly available in sources provided

## Core Business
- Primary industry/industries: Fraud prevention, identity verification, regulatory compliance (RegTech), financial technology (FinTech)
- Target customers: B2B – enterprises and high-risk industries such as banking, fintech, e-commerce, gaming, and digital marketplaces
- Mission: “We dream of a future where every click, every interaction, and every transaction is trusted.”
- Vision: To be the single source of trust in the online ecosystem, empowering individuals and businesses to transact confidently.

## Products & Services
- **UnifiedRisk Decisioning Platform**: AI-powered orchestration engine that combines device, behavior, identity, network, and transaction data to make real-time risk decisions across onboarding, authentication, and payments.
- **Identity Verification**: Document and biometric verification for fast, compliant onboarding (63% faster onboarding claimed).
- **Transaction Monitoring & AML**: Real-time monitoring of transactions for anti-money laundering and suspicious activity detection.
- **Account Takeover & Bot Detection**: Behavioral biometrics and device intelligence to detect account takeover attempts and automated bot attacks.
- **Promo Abuse & Location Spoofing Detection**: Tools to prevent promotional abuse and detect fake locations.
- **Graph Identity Network**: Connects identity signals across users and devices to uncover fraud rings.
- **Business Verification**: Automated verification of business entities.
- **Alternative Data**: Uses non-traditional data points for risk scoring.
- **Runtime Application Self Protection (RASP)**: Security layer for runtime application protection.
- **Compliance Automation**: Automates KYC/AML compliance at scale, adapting to changing norms.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Over 1 billion verified identities processed; 195+ reduction in manual reviews; 70% cost savings from reduced manual review (as claimed on company website)
- **Notable Investors/Partners**: Not disclosed in available sources
- **Growth Signals**: 187 total employees (as of Built In profile); offices in San Francisco, Bangalore, and Mumbai; recognized with multiple awards: Best Payment Fraud Prevention Technology, Best in Class Regtech Solution Award, Brand Asia Award, Top global leader in preventing Account Takeover in Banking, Top Age Verification Service Provider, Innovative APAC Partner of 2024.

## Competitive Advantages
- Unified platform that consolidates multiple risk signals (device, behavior, identity, network, transaction) into a single decision engine.
- Self-learning AI system that makes adaptive, real-time decisions without manual intervention.
- No-code orchestration enables rapid deployment and customization.
- Strong compliance posture (ISO 27001:2013 certified) and ability to adapt to changing KYC/AML regulations.
- Coverage across the entire customer lifecycle from onboarding to ongoing transaction monitoring.

## Strategic Focus
- Expanding the platform’s AI capabilities for adaptive fraud defense.
- Automation of compliance processes to reduce manual review and operational costs.
- Targeting high-risk industries (banking, fintech, gaming) for growth.
- Scaling global presence with offices in India and the US, serving international clients.
- Continuing to build a “Graph Identity Network” to fight sophisticated fraud rings.

## Why Work Here
- **Culture**: Described as purpose-driven, grounded in meritocracy, and “relentless in its pursuit of excellence.” Emphasis on making a meaningful impact against fraud.
- **Work Policies**: Offers a mix of in-office and remote/hybrid options; Built In lists “Offers a remote work program” and “Typical time on-site: None” for some roles, but many roles are labeled “In-Office.” Flexible leave and hybrid work policies that respect real life.
- **Perks & Benefits** (from Built In): Generous parental leave, paid sick days, performance bonuses, gym membership, generous PTO, bereavement leave, family and childcare benefits, health and wellness benefits, learning and development opportunities, and a gaming zone to unplug.
- **Growth Environment**: Fast-growing startup (est. 2020, 187 employees) with opportunities for ownership and impact in a high-stakes domain.
- **Locations**: Primarily in-office in Bangalore, with additional offices in San Francisco and Mumbai. Some remote possibilities.

## Sources
1. [bureau.id](https://bureau.id/) – Main website
2. [bureau.id/company](https://bureau.id/company) – About page
3. [builtin.com](https://builtin.com/company/bureau-bureauid) – Built In company profile
4. [jobs.bureau.id](https://jobs.bureau.id/) – Careers page
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/bureau) – Ashby job listings

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