Senior Analytics Engineer

7 Hours ago • 5 Years +

About the job

SummaryBy Outscal

Must have:
  • Deep understanding of dbt (cloud or core)
  • Extensive experience in SQL
  • Experience with data tools and platforms like BigQuery
  • Experience with Python tools used in data engineering
  • Expertise in understanding business strategy and metrics
Good to have:
  • Ability to mentor team members
Perks:
  • Attractive salary package
  • Company equity
  • Egnyte account with lifetime access to 50 TB of cloud storage
  • Great office space
  • Hybrid work model
  • MyBenefit: MultiSport card or gift cards
  • Private medical healthcare
  • In-house English classes
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Description

Senior Analytics Engineer

Poznań, Poland

 

EGNYTE YOUR CAREER. SPARK YOUR PASSION.

Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 22,000+ customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters that are doers, thinkers, and collaborators who embrace and live by our values:

Invested Relationships

Fiscal Prudence

Candid Conversations

 

ABOUT EGNYTE

Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com.

 

Our Data Analytics team is the central hub for Egnyte’s data infrastructure and enables the business by providing data in multiple forms. The Analytics Engineering sub-team keeps its prime focus on the data itself but does so while employing software engineering standards (CI/CD, code reviews, version control, etc.) and best practices to maintain a high quality of delivered solutions.

You will help us model Egnyte’s data into our Semantic Layer, redistribute the data via reverse ETL processes, maintain our data at a high quality, and provide technical guidance to analysts and business users. As a Senior Analytics Engineer, you will work closely with Data Analysts, playing a pivotal role in providing reliable, high-quality, and valuable data resources. You will also ensure these assets are updated and adapted as business requirements evolve. We seek someone passionate about structuring data into reusable, maintainable solutions who can bring enthusiasm to help us expand this function at Egnyte. This role has the potential to evolve into Team leader/Manager position.

 

WHAT YOU’LL DO:

 Develop, maintain, and optimize the semantic layer architecture in dbt, ensuring accurate and efficient data modeling that supports business intelligence, insights, and analytical needs

 Design, build, and validate data transformation pipelines to create data models

 Document our data models, logic, and the raw data itself

 Perform internal code & data reviews

 Monitor our data and solve data quality issues

 Lead initiatives to improve processes, enhance code quality, and increase the efficiency of project delivery across the team

 Collaborate across departments to apply our data strategy and corporate-wide data definitions that meet the demands of our fast-growing business

 

YOUR QUALIFICATIONS:

 You have a deep understanding of dbt (cloud or core) and are able to develop data models and create and maintain dbt architecture and strategy.

 You possess extensive experience in SQL, both data definition and data manipulation

 You are experienced with data tools and platforms, including BigQuery.

 You also have experience with Python tools used in data engineering

 You have expertise in understanding business strategy and metrics

 You have more than 5 years of experience in data-related roles such as data engineering or data analytics

 Your exceptional communication skills, both written and spoken, enable you to interact effectively with senior leaders across the company

 You are a leader who serves others, believing that the team's achievements reflect your own

 Ability to mentor team members

 Your exceptional communication skills, both written and spoken, enable you to interact effectively with senior leaders across the company

 

BENEFITS:

  Attractive salary package based on skillset

 Company equity depending on role and level

 Your own Egnyte account with lifetime access to 50 TB of cloud storage

 Great office space overlooking Lake Malta. We enjoy working there. We know how to effectively work in a hybrid model.

   MyBenefit: you can choose a MultiSport card or gift cards every month

  Private medical healthcare

  In-house English classes

 

COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION:

At Egnyte, we celebrate our differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be.

 

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