Analytics Engineer

Jobgether • Poland

Remote

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AI Summary

Jobgether is seeking an Analytics Engineer to design, build, and maintain end-to-end data infrastructure. The role involves transforming raw data into reliable datasets, collaborating with analysts and engineers, and ensuring data accuracy and accessibility. The ideal candidate has 3+ years of experience in analytics engineering, data analytics, or BI development.

Key Highlights

Design and maintain data models aligned with business needs

Build and optimize end-to-end data pipelines

Analyze on-chain, internal, and third-party data to generate actionable insights

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, ensuring timely and accurate delivery

Analyze on-chain, internal, and third-party data to generate actionable insights and identify trends or anomalies

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Technical Skills Required

SQL dbt sqlmesh dataform ETL/ELT data warehousing Python dashboarding and visualization tools (e.g., Preset, Omni, Looker, Dune Analytics)

Benefits & Perks

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

Flexible remote-first work environment and working hours

30 days of PTO and annual team offsites

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Nice to Have

Knowledge of blockchain data structures and on-chain analytics

Passion for crypto, Web3, or emerging analytics technologies

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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