Junior Data Engineer (Remote, Slovakia)

Posted 4 Days Ago
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Hiring Remotely in Solákion, Oichalia
In-Office or Remote
35K-45K Annually
Junior
Cloud • Software • Analytics
The Role
The Junior Data Engineer converts business requirements into a data warehouse, utilizing SQL to build and analyze data systems while collaborating with customers and support teams.
Summary Generated by Built In
The Position

The Junior Data Engineer’s main role is to convert a customer’s business requirements into a data warehouse from which business insights can be derived. Through the process the Junior Data Engineer utilizes SQL and problem solving skills, with opportunities to design and build a system to collect, store and analyze data at scale. The Junior Data Engineer also partners with the Support team and directly with customers to deliver solutions for our customers.

Responsibilities
  • Develop data warehouse and data store applications, including extraction, ingestion, and transformation processes.
  • Collaborate with customers and internal teams to understand business requirements and implement solutions that support analytical and reporting needs on a limited and growing scale.
  • Review and participate in testing the data design, tool design, and data extraction/transformation processes.
  • Ensure quality assurance and data validation, utilizing the sprint methodology.
  • Escalate issues to the software engineering team as appropriate.
Skills, Knowledge, and Experience
  • Data Engineering Pipelines: Experience in building data engineering pipelines, ensuring efficient data processing and integration.
  • Analytical Mindset: Intermediate analytical skills with a passion for solving problems to help businesses thrive.
  • Growth-Mindset: A growth-oriented mindset, constantly curious and adaptable, thriving in the fast-paced environment of startups.
  • Global Collaboration: Willingness to work a balanced schedule, accommodating business partners and customers around the world.
  • Multidimensional Data Sets: Exposure to working with multidimensional data sets.
  • SQL Proficiency: Experience with SQL, with a preference for Redshift, though any SQL background is applicable.
  • Cloud Computing: Familiarity with cloud computing platforms, such as AWS or Azure, to support scalable data solutions.
  • Professional level of English fluency is essential

What’s In It For You

One Model, founded by industry veterans in HR analytics, boasts a strong competitive advantage with its data-first approach to the People Analytics Platform. Joining One Model means:

  • Flexibility to work remotely, collaborating with colleagues globally.
  • A friendly, inclusive, and respectful workplace culture.
  • The opportunity to contribute significantly to a young company and team.
  • Generous compensation and attractive performance pay structure.

At One Model we pride ourselves on our supportive and inclusive work environment and are confident that you will feel included here regardless of your demographic. We see the value of having a diverse workforce, which is why we encourage you to apply for the role even if you don't think you're a 'perfect fit'.

Base Salary Range
€35.000€45.000 EUR

Top Skills

AWS
Azure
Redshift
SQL
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The Company
HQ: Austin, TX
75 Employees
Year Founded: 2014

What We Do

One Model is the people analytics platform for great companies and their thriving people. Our People Data Cloud™ platform ensures that the best talent decisions are made across the entire organization. Unlike traditional HR analytics tools, One Model takes all the heavy lifting out of data extraction, cleansing, modeling, analytics, and reporting of enterprise workforce data. People Data Cloud™ is uniquely transparent, exposing the upstream transformations, calculations, and manipulations to ensure consistently ethical people decisions while maintaining the security and privacy that human resource management demands. Our platform is not destructive, so your source data and data models survive with the evolution of your business. One Model unlocks the untapped value in your organizational data, restoring control of the people function to HR leadership and reducing the burden on data engineers, data scientists, and HR business partners.

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