Hi there! Are you our new colleague at Dreaminfluence?
We’re looking for a skilled Data Engineer to join our R&D team and help shape the data infrastructure that powers data-driven decision-making across Dreaminfluence. In this role, you’ll play a key part in building and maintaining robust data pipelines, ensuring data quality, and scaling our internal data architecture to support the company’s continued growth and operational excellence.
Team-oriented – You believe the best work comes from collaboration, shared responsibility, and open communication.
Honest – You value transparency, give and receive constructive feedback openly, and speak your mind—even when it’s not the easy route.
Goal-driven – You work effectively in short delivery cycles, and you stay focused on both short-term deliverables and long-term outcomes.
Analytical – Data isn’t just your job—it’s your mindset. You make decisions based on insights, not assumptions.
You have strong business acumen – You understand how businesses work and align your decisions with broader company goals, considering impact on revenue, customer value, growth, and efficiency.
You thrive on taking full ownership of your work, feel empowered to make decisions, and proactively drive initiatives forward with independence and confidence
You care about building clean, scalable systems that make working with data easier for the whole company.
You love to get feedback and improve your craft, and you're not afraid to provide feedback to your colleagues so they can improve.
You want to be part of a fast-moving SaaS start-up.
You thrive in a culture of ownership and flexibility.
You want to work onsite in our Copenhagen office alongside a talented, cross-functional R&D team.
As a Data Engineer at Dreaminfluence, you’ll play a central role in shaping and scaling the data infrastructure that powers decision-making across the business. You’ll join our R&D team and work closely with stakeholders from multiple departments, including product, finance, marketing, and executive leadership, to ensure our data is clean, accessible, and actionable.
We already have a strong foundation in place, but we’re growing fast, and so are our data needs. That’s where you come in.
Your primary responsibilities will include:
Designing and developing robust data pipelines to collect, clean, and transform raw data from multiple sources into high-quality datasets used across the company.
Building scalable ETL/ELT processes to support both real-time and batch data workflows, ensuring consistent data flow from ingestion to reporting.
Enhancing data discoverability and access by designing intuitive, well-documented data models that business users and analysts can trust and explore.
Improving the performance and scalability of our existing data infrastructure by optimizing queries, storage, and pipeline execution for large and growing datasets.
Driving best practices in data governance and quality, including monitoring, validation, and alerting for data anomalies or inconsistencies.
The perfect candidate also brings some of the following (nice to have, but not required):
Experience with statistics and/or machine learning
Familiarity with SaaS business KPIs
Prior experience with the HubSpot and Chargebee APIs
You’ll have the opportunity to significantly impact the way Dreaminfluence uses data, shaping internal reporting and enhancing product features.
Our current data stack includes:
A Databricks-based data lake built on top of AWS
Python (Pandas, numpy, PySpark) for data processing, transformation, and scripting
SQL for data modeling and exploration
Intro chat with our CTO, Morten Frank
In-depth personal interview
Personality test + walkthrough
Technical case + interview with our Data Scientist
Full-time health-care insurance
5 weeks vacation + 5 additional holidays
Flexible company pension scheme
MacBook Pro (personal use allowed)
Daily free lunch at the office
A central role in a growing product-focused company
Excited? We’d love to hear from you. Join us in building the data backbone of modern influencer marketing.
This job comes with several perks and benefits