Data Engineer

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🕒 March 18

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Roqad | Zeotap Data

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

💰 $7M Series A - Roq.ad on 2022-06

B2B • SaaS • Artificial Intelligence

Roqad | Zeotap Data is a privacy-first identity resolution and data onboarding provider that offers a probabilistic identity graph and related products to help advertisers, publishers, and platforms reach and measure audiences in a cookieless world. The company connects hashed emails, IPs, and other identifiers to mobile advertising IDs, household graphs, and CTV IDs across North America and Europe, and uses ML/AI to improve matching while maintaining GDPR and ePrivacy compliance. Roqad’s solutions power DSPs, CDPs, agencies, publishers and consumer brands to expand addressable audiences, improve attribution, and close online-to-offline identity gaps.

📋 Description

• You'll work across the full lifecycle of data engineering - from designing elegant solutions to deploying them in production • Building and maintaining data pipelines of varying complexity - from straightforward transformations to advanced probabilistic algorithms that drive our data science capabilities • Designing thoughtful solutions for new challenges, with emphasis on clean architecture and maintainability • Writing automated tests because we believe quality is built in, not bolted on • Fixing bugs and improving existing systems - our codebase evolves constantly • Exploring data when problems require investigation and analysis • Contributing to backend services and internal tools that support our data infrastructure • Deploying your work - you own it from concept to production

🎯 Requirements

• Strong foundation in data engineering principles and distributed systems • Experience with Apache Spark or similar big data processing frameworks • Proficiency in Scala and/or Java (we'll help you grow in whichever you're less familiar with) • Solid SQL skills for data querying and analysis • Understanding of software engineering best practices - testing, version control, code review • Analytical mindset for data exploration and problem-solving • Ability to balance pragmatism with technical excellence • Fluent English - our team communicates in English daily • Nice to Have: Experience with Python for data analysis • Nice to Have: Exposure to Rust • Nice to Have: Background in adtech or high-volume data processing • Nice to Have: Familiarity with probabilistic algorithms or data science concepts

🏖️ Benefits

• Top-tier team - work alongside extremely motivated engineers who push each other to excel • Competitive compensation that reflects your impact • Your ideal setup - choose your hardware (Linux, macOS, or Windows laptop, external monitors), tools (IntelliJ IDEA and whatever else you need), and access to a plethora of AI tools to assist your daily work • Professional growth - conference budget to keep learning and stay connected with the community • Team retreats in attractive locations - because the best teams also know how to recharge together • Multisport card - we support your wellbeing inside and outside of work