Analytics Engineer

Jobgether • Denmark

Remote

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AI Summary

Jobgether is seeking an Analytics Engineer to design, build, and maintain data infrastructure. The role involves transforming raw data into reliable datasets and collaborating with cross-functional teams. The ideal candidate has 3+ years of experience in analytics engineering and expertise in SQL, Python, and data warehousing concepts.

Key Highlights

Design, build, and maintain data models

Transform raw data into reliable datasets

Collaborate with cross-functional teams

Key Responsibilities

Design, develop, and maintain data models aligned with business needs and data architecture standards

Build, manage, and optimize end-to-end data pipelines

Implement data validation, quality checks, and monitoring

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Technical Skills Required

SQL Python dbt sqlmesh dataform ETL/ELT data warehousing

Benefits & Perks

Competitive salary within the €80K – €100K range

Flexible remote-first work environment

30 days of PTO and annual team offsites

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Nice to Have

Knowledge of blockchain data structures and on-chain analytics

Job Description

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.

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