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Modash

Senior Data Engineer (remote, Europe)

Posted 23 Days Ago
In-Office or Remote
5 Locations
Senior level
In-Office or Remote
5 Locations
Senior level
As a Senior Data Engineer, you will build data products, create data pipelines, and work with large-scale data processing. Your role includes leading projects from conception to launch and contributing to the data platform essential for the creator economy.
The summary above was generated by AI

Remote — Data Team — Full-time

Modash gives brands the tools to work with the right content creators and helps creators earn a living doing what they love. Behind the scenes, we’re building the world-class data platform that powers creator discovery for thousands of companies — and 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. 

Here’s a 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 be working on big, impactful projects like:

  • Building a creator search engine indexing 200M+ influencer profiles
  • Creating an understanding of the 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

At Modash, data engineering isn’t a support function — it’s 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 – responsible for building our data platform, pipelines, and data points (like for search).
  • Backend Engineering – focused on APIs, infrastructure, and the product features that use our data.

We value autonomy, but we also love to work closely as a team — through pair programming, feedback, and shared wins. Everyone is expected to take ownership, but nobody works in isolation.

We’re remote-first, but we make time to connect IRL with regular team offsites, where we have fun, collaborate, and reflect.

⚙️ Our tech stack
  • AWS with Pulumi (IaC)
  • Spark (EMR) — mostly PySpark
  • Airflow for orchestration
  • DynamoDB, S3, Glue, Kinesis, Lambda, ECS
  • GitHub, Confluence, Miro, Jira
🧪 The interview process

We move fast. You can get interviewed in under a week. Process consists of:

1. Intro chat

2. Technical interviews: 1. Coding challenge (in PySpark) and 2. System Design

3. Team fit / Project presentation

4. Culture & alignment call with the CEO Avery Schrader - That’s it! 


Requirements🛠 Skillset we’re looking for
  • Solid experience as a Data Engineer
    Strong knowledge of Spark (Scala, Databricks, or PySpark — PySpark is ideal, but not required)
  • 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.)
  • You've built full features from idea to production: planning & scoping → architecture → coding → release.
  • You're based in Europe with at least a few hours overlap with GMT+3
✅ Bonus points if you…
  • Have worked with AI/ML tools or LLMs
  • Care deeply about code quality and system design.
  • Are curious about the creator economy (we’ll help you get up to speed)
🧑‍🔧 We’re looking for people that
  • Are tirelessly in search of the best versions of ourselves – Who want to really show what they’ve got and want to prove the world and themselves what they’re capable of.
  • Are direct in their communication – We support and encourage one another through direct, immediate & helpful feedback.
  • Know how to become autonomous - Who we can trust to do their best work without needing processes to guardrail.
  • Are willing to take ownership to stand up for ourselves, our teams, and our communities.
  • Have fun, are honest, and do great work – No title chasers, no finger pointers, no being awful. Absolutely no slowing down to protect ego.

Benefits🎁 What we offer
  • Fully remote — work from anywhere in Europe
  • Unlimited paid vacation 🌴
  • Flexible hours — async-friendly culture
    High ownership, low bureaucracy, no bullshit.
  • 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...

Founded by a high-school dropout and a Canadian (yes, we’re also shocked it’s going so well), Modash is building a suite of tools that help brands scale partnerships with online content creators.
1500+ companies like Google, Wolt (Doordash), Bolt, and Nord VPN, Stanley and others use Modash to find, analyze and monitor social media creators. 
We have some very big customers. Some have already changed the world. But many of them are just starting out. Modash is their first customer acquisition channel and we help make their missions come to life, in our small way.
We’re a profitable company. We’re also backed by the best investors in Europe. Including Icebreaker.vc, Change Ventures, and a group of Europe’s top founders.
We’re a small team and we’re just getting started. You’ll work with people who have done everything from building solar cars to hanging out with Metallica and Bon Jovi.
Folks who have seen the inner workings of companies like Amazon, Veriff, Pipedrive, Yes, and the burning man of startups - Pirate summit. Come be great and do great things and make great stuff and create great memories while making a great impact. Do it.

Meet your future colleagues!

Top Skills

Airflow
AWS
Confluence
DynamoDB
Ecs
Git
Glue
JIRA
Kinesis
Lambda
Miro
Pyspark
Python
S3
Spark
SQL

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