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Stillingsbeskrivelse
THE OPPORTUNITY IN A NUTSHELL
You are a Senior Analytics Engineer with a platform mindset, ready to build high-impact data models and architect scalable marketing data infrastructure. As a Senior Analytics and Infrastructure Engineer for User Engagement and Marketing, you will be responsible for setting the engineering standard for our team.
WHO ARE YOU?
We believe in the power of diverse perspectives and problem-solving styles. Whether you come from a traditional computer science background or have taken a non-traditional path to data engineering, we care most about your ability to solve complex problems and your desire to build.
- Senior-level experience: You have a proven track record as an Analytics Engineer, Data Infrastructure Engineer, or in a similar capacity, ideally within a high-growth tech or e-commerce environment.
- Technical mastery: You are proficient in SQL, Python, and cloud data warehousing (e.g., Snowflake, BigQuery). You are comfortable with dbt, Airflow, and Fivetran to orchestrate seamless data flows. Also proficient with Funnel and Datastore tools.
- Marketing data fluency: You understand the nuances of the marketing ecosystem, including attribution models (Appsflyer), funnel analysis, and customer lifecycle data.
- Strategic & Collaborative: You translate complex business goals—like LTV maximization or churn reduction—into robust engineering solutions. You are a natural collaborator who communicates effectively with non-technical stakeholders, Data Scientists, and Product teams.
- Pioneering Spirit: You are comfortable working in a "start-up" mode within a larger organization. You don’t just write code; you design systems and set technical direction for the future.
- Language skills: Fluency in English is required as we are an international team working across multiple Nordic markets.
WHAT’S THE JOB LIKE?
This is a unique, high-impact role. As our first dedicated engineer for this team, you won't just be maintaining systems—you will be designing them.
The Mission: Your goal is to establish the core data infrastructure that powers our User Engagement and Marketing efforts, enabling automation, reporting, and our transition into AI/LLM-powered analytics.
A typical week:
- Designing Infrastructure: You will architect automated, scalable pipelines for data ingestion and pre-processing.
- Product Development: You will develop high-utility data products to support triggered communications and user lifecycle events.
- Innovation: You will work on "ARIA" (Analytical Reasoning & Insight Assistant), our internal LLM tool, moving from conceptualization to engineering the data schemas that make the tool "AI-ready."
- Stakeholder Collaboration: You will partner closely with Marketing Managers to understand their data needs, and with Data Scientists to ensure our data models are consistent and actionable.
Krav
- You have a proven track record as an Analytics Engineer, Data Infrastructure Engineer, or in a similar capacity.
- You are proficient in SQL, Python, and cloud data warehousing tools like Snowflake or BigQuery.
- You have experience with dbt, Airflow, and Fivetran to orchestrate data flows.
- You possess a deep understanding of the marketing ecosystem, including attribution models and customer lifecycle data.
- You are able to translate complex business goals into robust engineering solutions.
- You are fluent in English and capable of collaborating with international teams.
Ferdigheter
Erfaring
senior