Senior Data Engineer, Copenhagen

Linkfire

. Help steer the evolution of the data platform and grow into owning it end to end .

Posted 11/6/2026full-timeRemote • Denmark, Portugal, Estonia, Latvia, Lithuania, FinlandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining production data pipelines using Snowflake and Airflow, with strong proficiency in Python for service development. Capable of collaborating with stakeholders to integrate data into product features while ensuring high-quality documentation and testing.

Highest-signal resume keywords

Production Data Pipeline DevelopmentPython Service DevelopmentSnowflake Cloud Data WarehouseAirflow OrchestrationDocker and Kubernetes

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Applicant Tracking System Keywords

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Hard Skills

PythonData Pipeline DevelopmentCloud Data WarehouseAirflowAutomated TestingData ModelingAI ApplicationsEvent-Driven IngestionTerraformWeld

Soft Skills

Clear CommunicationProblem IdentificationSolution ProposalCuriosityProduct Orientation

Tools & Technologies

SnowflakeAirflowAmazon MWAAMetabaseDockerKubernetesArgo CDGitHub ActionsTerraformAtlantis

Industry Keywords

Data PlatformProduction ExperienceEnd-to-End Data OwnershipScalable CodeStandardization

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSBigQueryCloudDockerKubernetesPythonSnowflakeTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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