Senior Data Analytics Engineer - Data Insights

 Posted 16 hours ago
  
 Poland
  
5-10 years experience
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AI Summary

Build and define a company-wide data asset in Snowflake by creating reliable data models and pipelines using DBT. Collaborate with stakeholders to design metrics and dimensions that enable self-service analysis and trusted KPI reporting.

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 Wellness Days — one fully paid day off each month to recharge, available on an ad-hoc basis and not carried over month to month
  • 24 hours of paid volunteer time to support meaningful causes outside of work
  • 3 fully paid volunteering days each year through Appfire Town, our Corporate Social Responsibility (CSR) program supporting local communities

Learning & Development

Grow with Appfire University — our custom, on-demand learning platform designed to support continuous learning and professional development.

Health & Insurance

  • Fully covered Luxmed private healthcare plan
  • Option to extend coverage to your partner or add personalized upgrades
  • UNUM life insurance, fully paid by Appfire

Lifestyle & Benefits

  • MyBenefit Platform with 150 PLN per month to spend on:
    • a Multisport card
    • shopping
    • restaurants
    • entertainment experiences
  • Lunch Card with 300 PLN monthly for groceries or dining out via a virtual prepaid Pluxee card (Google Pay or Apple Wallet supported)

Remote Work Support

Receive 200 PLN net per month as a home office allowance to help cover electricity and internet costs while working remotely.

Market recognition

Appfire has been consistently recognized for company growth, culture, corporate social responsibility, and product excellence and has been included among the Deloitte Technology Fast 500, Inc. Best Workplaces, BuiltIn Best Places to Work, and Inc. 5000. Learn more about our accomplishments, which would not be possible without our team members, partners, and customers: https://appfire.com/awards.

Equal Employer Opportunity (EEO)  

Appfire is an equal opportunity employer and does not discriminate based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic as defined by applicable law. Our commitment extends to all employment practices, including recruitment, hiring, training, promotion, compensation, benefits, and termination.

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