Data Engineer

About ICG
ICG is a global holding company focused on buying & building digital properties that power frictionless online shopping experiences.

Our portfolio includes leading affiliate marketing platforms like Stylight and MyBestBrands. Retailers and e-commerce brands typically allocate ad spend across numerous channels, with Meta and Google dominating the landscape. ICG aims to disrupt this space by acquiring and then growing smaller, higher-potential platforms, offering retailers a powerful alternative for growth.

As the fastest-growing performance marketing network across Europe and the US, we drive over $250 million in annual sales for more than 3,000 merchants. ICG has 15 owned-and-operated properties spanning 15 markets in 7 languages, and we are redefining how brands connect with high-intent shoppers worldwide.

About this Role

We’re looking for a Data Engineer to join our growing Engineering team. Our Data Engineering team currently works hand-in-hand with various other technical & business teams to solve some of our hardest problems through the use of data. We are not a service-centre or ticket-takers — in this role you will dig deep to understand exactly how functions like Performance Marketing, Mobile Development or Finance work, and will then define and implement solutions. We track, generate, analyze and consume data across our organization on different platforms (both web and mobile), tools (both internal and external), teams, etc. You will help to ensure that the right data is available, accurate and stored/used/transformed in the optimal ways.

We currently use BigQuery, Python, DBT, and PostgreSQL, with Holistics as our internal BI tool.

What You’ll Do

• Assist in designing, implementing, and overseeing scalable data pipelines and architectures across the organization.

• Build and maintain reliable ETL processes to ensure efficient data ingestion, transformation, and storage.

• Streamline and manage data flows and integrations across multiple platforms and applications.

• Work with large-scale event-level data, aggregating and processing it to drive business intelligence and analytics efforts.

• Continuously assess and adopt new data technologies and tools to improve our data infrastructure and capabilities.

About You

• Data Experience:

  • you have a solid track record of working in a data engineering role within a high-growth environment (we move quickly, and want to ensure you're comfortable with being uncomfortable)

  • you have expert-level SQL knowledge — you can write + optimize complex queries and database performance for large-scale systems.

  • you are comfortable working with modern database technologies, cloud-based data solutions, ETL/ELT tools and the data services within cloud platforms.

• Ownership Mentality: You don’t wait to be told what to do. You see what needs to be done and take accountability, even for tasks that aren’t officially “yours.”

• Startup Environment: You enjoy the challenge of working in a dynamic environment where things move fast and processes evolve quickly. You are okay with some things being very structured, and others being a little loose.

• You are fluent in English and comfortable communicating primarily in English with team members around the world.

What We Can Offer You…

• An opportunity to learn and grow more than you have in any of your previous roles! We are scaling quickly, and there's an incredible amount of work to be done on all fronts. We are a lean, scrappy team where everyone wears multiple hats and works closely together. You'll be able to work on projects and initiatives that interest you and expand your scope.

• A flexible, remote/hybrid environment where you’ll have a lot of freedom and flexibility. We hire adults and treat them like adults.

• 30 days of vacation per year, and the chance to work occasionally from our office in Split

• The chance to have a meaningful impact on a business and see the results of your work.

What we can't offer you...

• Perfect Work/Life Balance. Startups can be unpredictable — while we aim for balance, there will be times when evenings or weekends are necessary to keep things moving. We encourage you to manage your schedule and find ways to create balance that works for you.

• A ton of people and resources. We operate lean and invest thoughtfully. This means you’ll need to get creative and wear multiple hats to get the job done — and we’re still figuring things out as we grow.

Our Process:

1. Applications: we’ll review your application within 72 hours, and you’ll hear from us no matter what. We’re committed to transparency — if we need more time to decide, we’ll let you know. No ghosting.

2. Interviews: you'll meet with Brett, Andrei and Brent from our team, along with a few other engineers. Our conversations will be a mix of behavioural questions, deep dives into your experience, and plenty of time for you to ask questions. Each session will last 30-60 minutes over Google Meet.

3. Case Study: we’ll give you a real-world technical challenge (compensated) to see how you think and approach a data problem. Afterward, we’ll have a working session to simulate what collaboration feels like at ICG.

4. Offer: this is the fun part — we'll make an offer, and start getting ready for you to join us!

If you have any questions throughout the process, feel free to reach out to Brett. Thank you, and hopefully we talk soon!