Senior Data Engineer, Copenhagen

🔥 10 minutes ago

🌐 Denmark, Portugal, +4 more countries – Remote

🇩🇰 Denmark – Remote 🇵🇹 Portugal – Remote 🇪🇪 Estonia – Remote 🇱🇻 Latvia – Remote 🇱🇹 Lithuania – Remote 🇫🇮 Finland – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

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Linkfire

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

☁️ SaaS

📣 Marketing

📱 Media

💰 Post-IPO Debt on 2023-08

SaaS • Marketing • Media

Linkfire is a SaaS platform for entertainment marketing that helps artists, record labels, publishers, podcasters and advertisers create smart landing links (bio links, pre-save links, podcast links, ticket links, reward links) and share content across streaming services and platforms. The product centralizes link management, automates discovery of streaming services, and provides industry-focused analytics and attribution so teams can optimize campaigns, increase streams/ticket sales, and understand fan journeys. Linkfire positions itself as a marketing and analytics tool trusted by major artists, labels and advertisers in the music and broader entertainment sector.

📋 Description

• Help steer the evolution of the data platform and grow into owning it end to end • Build and maintain production data pipelines on Snowflake and Airflow • Build and maintain Python services powering the pipelines • Implement tests and monitoring for shipped work • Help build AI agents for repetitive data questions and investigations • Collaborate early with Product Managers and stakeholders to design data into product features • Explain technical choices to non-engineering stakeholders • Take requests and roadmap items from concept to production • Own day-to-day data work, including product and customer-facing requests, pipeline changes, and new sources and feeds • Model data for analysis and reporting • Improve documentation, testing, standardisation, and platform maintenance • Work with the data platform stack including Snowflake, Python, Airflow, Amazon MWAA, Weld, Metabase, AWS, Docker, Kubernetes, Argo CD, GitHub Actions, Terraform, and Atlantis

🎯 Requirements

• Five or more years building production data pipelines • Strong Python; experience building services from scratch with automated tests, sound design patterns, and maintainable, scalable code • Deep production experience with a cloud data warehouse, ideally Snowflake; experience with BigQuery, Redshift, or Databricks also considered • Hands-on experience with Airflow or a similar orchestrator • Comfortable with Docker, Kubernetes, and Argo CD • Product-oriented, end-to-end perspective on data • Curiosity beyond own technical stack and T-shaped working approach • Ability to identify problems, propose solutions, and balance quality with delivery • Daily use of AI and informed opinions on its applications • Clear and direct communication, mostly in writing • Nice to have: Terraform, Weld, Metabase, event-driven ingestion on AWS, or building with LLMs • Must live within one hour of Danish time all year round: WET, CET, or EET; applications outside these timezones will not be considered

🏖️ Benefits

• Six weeks' paid holiday • 4% company pension contribution if based in Denmark • Competitive compensation • Clear, defined roles and a career framework • Professional growth and progression opportunities • Remote-first flexibility • Copenhagen office option • Experienced peer support • Equal opportunity employer

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