Overview
Remote — Data Team — Full-time
Modash builds a world-class data platform powering creator discovery for thousands of companies. We’re looking for a hardened Senior Data Engineer to shape the direction of the creator economy.
What Your Day-to-Day Will Look Like
We’re not a service function — data engineering is a core product capability at Modash, building products for customers to use. You’ll own projects end-to-end, from idea to launch.
Typical day:
- Start your day with a short standup
- Heads-down focus time to plan, build, iterate, and launch
- Minimal meetings — maximum ownership
You’ll work on big, impactful projects like
- Building a creator search engine indexing 200M+ influencer profiles
- Understanding creators’ location, age, and interests at scale
- Creating systems to extract audience demographics from raw social data
- Shaping the future of AI-assisted search, exploring how LLMs and embeddings can enhance search and recommendations
You won’t be patching pipelines — you’ll be creating data products from scratch that directly impact customers.
Data Team
Data engineering is at the heart of the product. You’ll be part of a growing team of 4 data engineers, working alongside 4 backend engineers as part of our broader data organization.
We work in two closely aligned teams
- Data Engineering — building our data platform, pipelines, and data points (like for search)
- Backend Engineering — APIs, infrastructure, and product features that use our data
We value autonomy and collaboration — through pair programming, feedback, and shared wins. Everyone is expected to take ownership, but nobody works in isolation. We’re remote-first with regular team offsites.
Tech Stack
- AWS with Pulumi (IaC)
- Spark (EMR) — primarily PySpark
- Airflow for orchestration
- DynamoDB, S3, Glue, Kinesis, Lambda, ECS
- GitHub, Confluence, Miro, Jira
Interview Process
We move fast. You can be interviewed in under a week. Process typically includes :
- Intro chat
- Technical interviews : Coding challenge (PySpark) and System Design
- Team fit / Project presentation
- Culture & alignment call with the CEO
Requirements
Skillset we’re looking for
- Solid experience as a Data Engineer with strong knowledge of Spark (Scala, Databricks, or PySpark — PySpark ideal)
- Proven track record with ETL / ELT pipelines and large-scale data processing
- Hands-on experience with Python and SQL
- Comfortable working with unstructured data
- Experience with workflow orchestration tools like Airflow or AWS Step Functions
- Familiarity with the AWS ecosystem (Glue, EMR, DynamoDB, etc.)
- Built full features from idea to production : planning & scoping → architecture → coding → release
- Based in Europe with overlapping hours with GMT+3
Bonus points
- Experience with AI / ML tools or LLMs
- Strong emphasis on code quality and system design
- Interest in the creator economy
We’re looking for people who
- Seek the best versions of themselves and want to prove what they can do
- Communicate directly and give / receive feedback openly
- Are autonomous and can work without heavy processes
- Take ownership and stand up for their team and community
- Are fun, honest, and hardworking — no ego trips
Benefits
- Fully remote — work from anywhere in Europe
- Unlimited paid vacation
- Flexible hours — async-friendly culture
- High ownership, low bureaucracy
- Personal development support — courses, books, or conferences
- Regular offsites — connect with your team IRL
About Modash
Founded to help brands scale partnerships with online content creators, Modash serves 1500+ companies including Google, Wolt, Bolt, NordVPN, and others. We’re profitable and backed by top European investors. We’re a small, ambitious team with a focus on building the data backbone of the creator economy.
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