Senior Product Data Engineer- Data Insights (remote, Europe)

Hey, I'm Tadas. I'm hiring a Senior Product Data Engineer for Data Insights, the team that builds Modash's data products.

Modash helps brands find, understand, and work with creators on Instagram, TikTok, and YouTube. More than 2,700 companies, including Stanley 1913, Sennheiser, and NordVPN, use us to run and grow their creator partnerships.

Data Insights turns raw social media data into the datapoints customers buy: which brands a creator has worked with, how to contact them, where they're based, and which other creators are like them. Most of the work is taking messy public data across 200M+ profiles and making it accurate enough that a brand will act on it.

In this role you'll own datapoints end to end, from the raw signal to what the customer sees, and you'll be judged on their quality.

Why we're hiring

We need a senior engineer who can take one of these datapoints from a rough idea to a production pipeline and keep improving it after launch. Right now that means building our own creator-location data, using LLMs to find and validate creator contact emails, and matching sponsored posts to the right brand and its parent company.

• At Modash, the data is the product customers pay for. Brands use our collaboration, contact, and location data to decide which creators to work with, and our largest customers take it in regular bulk deliveries through our API.
• You'll join a team of four data engineers who work closely with four backend engineers. You'll make important technical decisions yourself, with strong teammates to back you up, and customers will see what you build.
• For a feel of how we build software, read our Engineering Blog.

What you've done before

• Built data systems at meaningful scale. You have solid experience as a data engineer and have worked with large, complex datasets in production.
• Worked deeply with Spark. PySpark, Scala, or Databricks all count. We use PySpark, but strong Spark fundamentals matter more than the exact flavour. Here is the blog post that helps explain the kind of work we do.
• Turned messy data into signals people rely on. Entity matching, classification, deduplication, or enrichment: you've built reliable output from data that started out incomplete, inconsistent, or wrong.
• Treated data quality as part of the job. You've defined quality checks, tracked coverage and accuracy, and handled a quality drop like a bug.
• Owned full features. You've taken a feature through planning, scoping, architecture, implementation, release, and iteration.
• Written production Python and SQL. You care about code quality, system design, and maintainability.
• Worked with orchestration and cloud infrastructure. Experience with Airflow or AWS Step Functions, and with services such as EMR, Glue, Athena, DynamoDB, S3, Kinesis, Lambda, or ECS, will help you get moving quickly.
• Worked using agentic development. You use coding agents like Cursor in your daily work, give them clear context, and review what they write as carefully as a teammate's PR.
• Worked autonomously without working alone. You make progress with incomplete information, say what you think, ask for feedback, and help teammates do better work.
• Curiosity about the creator economy helps too, but we'll get you up to speed.

Our stack

• AWS, with Pulumi for infrastructure as code
• Spark on EMR, mostly PySpark
• Iceberg tables on S3, queried through Glue and Athena
• PostgreSQL on Aurora
• Airflow
• Great Expectations for data quality checks
• LLM models for data enrichment
• DynamoDB, Kinesis, Lambda, and ECS
• GitHub, Notion, Linear, Cursor
• The interview process

We move quickly and can finish the process in under a week

• Intro chat
• Two technical interviews: an agentic PySpark coding challenge and a system design session
• Team fit and project presentation
• Culture and alignment conversation with our CEO, Avery Shrader

Compensation. Your compensation is made up of salary and stock options. As we're growing fast, the stock option package is especially significant. Annual salary range is €100,000 to €130,000. We hire across Europe, so the exact number depends on your location, employment type, skills, and experience.

2,700+ companies like Stanley 1913, Sennheiser, and NordVPN already use Modash to manage and scale their influencer marketing work. And we're just getting started. Over the coming decade, brand investment in creators will continue to boom, and Modash will be at the centre of it all.

We’re almost 100 people distributed across 20+ countries, operating with a fast, async-first culture. If you join Modash, you’ll be surrounded by people who truly want to be the greatest at their craft. People who make you better. Interesting people too, who have done everything from building solar cars, to hanging out with Metallica and Bon Jovi.