Analytics Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Analytics Engineer in Denmark.

As an Analytics Engineer, you will design, build, and maintain the end-to-end data infrastructure that powers business insights and decision-making. You will transform raw data from multiple sources, including internal databases, APIs, and blockchain networks, into reliable, well-modeled datasets that inform strategy and operations. Collaborating closely with analysts, engineers, and cross-functional stakeholders, you will ensure data accuracy, consistency, and accessibility. Your work will directly impact the quality of analytics, dashboards, and reporting, while supporting exploratory analyses and on-chain data investigations. This role offers the opportunity to operate in a fast-moving, remote-first environment, taking ownership of complex data challenges and contributing to process improvements across the team.

Accountabilities

• Design, develop, and maintain data models aligned with business needs and data architecture standards.
• Build, manage, and optimize end-to-end data pipelines, ensuring timely and accurate delivery.
• Implement data validation, quality checks, and monitoring to maintain dataset integrity.
• Analyze on-chain, internal, and third-party data to generate actionable insights and identify trends or anomalies.
• Create and maintain dashboards and reports for internal and public use, supporting stakeholders with analytical projects.
• Collaborate with data analysts, engineers, and cross-functional teams to ensure consistency in metrics and definitions.
• Document processes, workflows, and analyses to maintain high standards of transparency and reproducibility.
  
  

Requirements

• 3+ years of experience in analytics engineering, data analytics, or BI development.

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• Expert-level SQL skills with experience in complex queries, data modeling, and query optimization.
• Hands-on experience with dbt, sqlmesh, or dataform, and a strong understanding of ETL/ELT and data warehousing concepts.
• Proficiency in Python for data manipulation and analysis.
• Experience with dashboarding and visualization tools (e.g., Preset, Omni, Looker, Dune Analytics).
• Knowledge of blockchain data structures and on-chain analytics is highly desirable.
• Strong analytical thinking and ability to translate complex datasets into actionable insights.
• Detail-oriented with high standards for data accuracy, documentation, and execution.
• Ability to work autonomously and collaboratively in a remote-first, distributed team environment.
• Passion for crypto, Web3, or emerging analytics technologies is a plus.
• Familiarity with cloud data warehouses (e.g., Snowflake) and data architecture concepts is beneficial.
  
  

Benefits

• Competitive salary within the €80K – €100K range, with equity participation.

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• Flexible remote-first work environment and working hours.
• 30 days of PTO and annual team offsites.
• Choice of work equipment and home office support.
• Personal development budget of €1,000 per year (pro-rated for the first year).
• One-time €1,000 remote setup budget.
• Inclusive, collaborative, and fast-moving team culture with opportunities for mentorship and growth.
  
  

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.