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Senior Data Analytics Engineer - Data Insights

Appfire
CompanyAppfire
CategoryEngineering
LocationPoland
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted21 May 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
At Appfire, we believe that great work happens when people get to choose how they work. After 20 years of creating software that empowers teams to break silos and collaborate seamlessly, we've learned that one size does not fit all. We’re a team of 800+ employees, working remotely across 28 countries. Our flagship products include: Appfire Flow, JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture. Here you can read some of our customer stories: https://appfire.com/resources/resource-library/customer-stories Position Overview:  Appfire is seeking an experienced full-time Senior Analytics Engineer!  In this role you will help build and define our new company-wide data asset (Snowflake) from the ground up. You will work with stakeholders across Appfire to align, test, build and activate brand new data and metrics within our Snowflake metrics layers, achieving a trusted, accessible and well-defined view of information for all at Appfire. Our Analytics Engineers build metric foundations for reporting, analysis and experimentation, pushing the boundaries of decisions across the company under an aligned view of the world. They leverage their expertise in metric development, DBT, data modeling, SQL and Python. Using these skills you will transform data from raw data warehouse into data artifacts powering impactful analytic use cases (e.g. metrics, dashboards, adhoc analysis and self-service solutions) hat enable downstream data consumers across the company. As an Analytics Engineer you will sit at the intersection of data stakeholders and data engineering, working collaboratively to enable and achieve highly impactful outcomes by evolving our ecosystems for scaling impact. We’re growing quickly and have a lot to accomplish. What You Will Do: Understand data needs by interfacing with fellow Analytics Engineers, Data Engineers, Data Analysts and Business Partners Architect, build, and launch efficient & reliable data models and pipelines in partnership with Data Engineering, leveraging DBT and Snowflake Design and implement metrics and dimensions enabling self-service analysis and structured views of Appfire’s KPI’s that scale trust, accountability and decision impact Define and share best practices on metric, dimension, and data model development and definitions for analytics use cases What We Would Like To See: 5+ years of relevant industry experience Passion for high data quality and impactful analytics engineering work Strong skills in SQL Expert in schema design and dimensional data modeling semantic and metrics layers Experience with Python and DBT Efficient problem-solving and analytical skills Proven ability to succeed in both collaborative and independent work environments at a remote-work company Detail-oriented and excited to learn new skills and tools Preferred Qualifications: Experience informing and influencing early DBT deployments Proven experience with data wrangling and designing/developing Experience owning end to end SDLC and implementation, with full ownership of stakeholder management and expectation setting, prioritization, development and delivery. Experience with source code management tools such as GIT, BitBucket, etc. Experience working with Cloud Technologies (AWS/GCP/Azure) Experience working with various semi structured data formats (ex. JSON) Experience building data solutions for future scale and analytics use-cases 2+ years of development experience on  industry standard BI tools Knowledge graph/ontology familiarity/experience building/deploying is a plus ML analytics engineering experience a plus Benefits & Perks  Equity Every Appfire team member is eligible for company equity, fostering a true sense of ownership and connection to our growth. Time Off & Wellbeing 26 paid vacation days annually, regardless of tenure 12 Wellnes
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