Senior Data Engineer (remote, Europe)
Overview
Remote — Data Team — Full-time. Modash gives brands the tools to work with content creators and helps creators earn a living doing what they love. We are building a
- class data platform that powers creator discovery for thousands of companies, and we are looking for a Senior Data Engineer to shape the direction of the creator economy.
What Your Day-to-Day Will Look Like
Data engineering is a core product capability at Modash. You will own projects
-
- 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 will 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.
The Data Team
Data engineering is at the heart of the product. You’ll join 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, but we also love collaboration through pair programming, feedback, and shared wins. Everyone is expected to take ownership, but nobody works in isolation. We’re
- first and connect IRL with regular team offsites.
Our Tech Stack
- AWS with Pulumi (Ia
C) - Spark (EMR) — mostly Py
Spark - Airflow for orchestration
- Dynamo
DB, S3, Glue, Kinesis, Lambda, ECS - Git
Hub, Confluence, Miro, Jira
The Interview Process
We move fast. You can get interviewed in under a week. Process includes:
- Intro chat
- Technical interviews: 1) Coding challenge (in Py
Spark) and 2) 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 Py
Spark — Py
Spark ideal) - Proven track record with ETL/ELT pipelines and
- 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, Dynamo
DB, etc. ) - End-to-end feature delivery experience: planning & scoping → architecture → coding → release
- Based in Europe with a few hours overlap with GMT+3
Bonuses
- Experience with AI/ML tools or LLMs
- Keen focus on code quality and system design
- Interest in the creator economy
Who We’re Looking For
- People who strive for personal and team excellence and demonstrate what they’re capable of
- Direct in communication, open to feedback
- Autonomous workers who can operate without excessive process
- Willing to take ownership and stand up for their teams and communities
- Fun, honest, and capable of great work without ego or slowing down
Benefits
- Fully remote — work from anywhere in Europe
- Unlimited paid vacation
- Flexible hours —
- friendly culture, high ownership, low bureaucracy - Personal development support — courses, books, or conferences on us
- Regular offsites — connect with your team IRL
Help us build the data backbone of the creator economy. Apply now — we’d love to meet you.
And a Little More About Us. . . Modash is building tools to help brands scale partnerships with online content creators. 1500+ companies use Modash to find, analyze, and monitor social media creators. We are a profitable, Europe-backed company with a growing team.
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- Informações detalhadas sobre a oferta de emprego
Empresa: Modash Localização: Lisboa
Lisboa, Lisboa, PortugalPublicado: 31. 10. 2025
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