Careers

Opportunities

Values

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Innovation

We live on the cutting edge of technology.

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Creative Work environment

Creative Work environment with employee autonomy to make decisions. We're friendly, approachable and fun.

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Delivery approach

We deliver quality products, services and experiences — on time.

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Ownership

We take responsiblity for our work and personal actions.

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Expertise

We're experts and actively seek out knowledge and understanding.

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Work autonomy

We're empowered to deploy our knowledge, expertise and know how to solve customer problems.

Benefits

  • Medicover health insurance (with yearly check-ups)
  • Budapest transit pass or parking space
  • Unlimited Life1 gym pass for any Life1 gym in Budapest or an all-inclusive gym and public bath pass in Szeged
  • Employee Assistance Program (EAP) – an independent, third-party
    counseling service that you can call 24/7
  • Online English class every week
  • Technical and soft skill trainings
  • Referral bonus when you successfully bring in a friend for an open position
  • Baby bonus for primary caregiver, paternity leave for the secondary
    caregiver, baby box for newborns
  • Lots and lots of fruit in the office
  • Free massage in the office
  • Online yoga every week
  • Soccer court for our Starschema football team
  • Active hiking and cycling community
  • Active social life – frequent organized and impromptu drinks, food and music
  • Professional community events
Learn more about Starschema openings.

Challenges

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Communicating complex insights in simple ways

Important insights often go uncommunicated due to poor data communication methods. As a member of our data science and data visualization teams you’ll use the latest scientific methods and data visualization techniques to effect change in client organizations. You’ll work with and learn from experts and develop advanced skills that deliver more value and let your creativity shine.

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Tackling the challenges of the world’s biggest companies

Ever wonder what challenges leading innovative companies like Facebook or Netflix face? At Starschema you’ll have the opportunity to work as part of a world class team with cutting edge technologies on innovative projects that change organizations and affect immense numbers of people. Truly this is work that creates solutions to businesses toughest data challenges.

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Helping organizations become data-driven

Every organization relies on data but few have truly made the jump to become a data-driven organization. We help organizations create a data-driven culture and adopt data into their very core. Your contribution to this process is integral as our clients trust your expertise and skill-set to help them along this journey. You get to be part of a team that is helping companies make one of most important strategic changes in their history.

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Creating sustainable and scalable data pipelines

There is a limitless number of data sources today that an organization can use. However, in order for the data to reach the data team so insights and value can be discovered and acted on, proper infrastructure has to be set up. This is the foundation of any data-driven organization and as part of the data engineering team, you will help design, develop and configure sustainable and scalable data pipelines that deliver the right data to the right at the right times so maximum value can be realized.

Blogs

Five Healthcare AI/ML Trends to Watch for in 2023

Learn about the technologies and approaches transforming healthcare, including AI in patient safety, decentralized clinical trials and more.

Ingestions in DBT: How to Load Data from REST APIs with Snowpark

Learn how to transform dbt into a full-fledged ELT solution.

Dagster + Airbyte + dbt: How Software-Defined Assets Change the Way We Orchestrate

See how Dagster changes the game by enabling you to get a simple, singular view of your end-to-end data pipeline across multiple tools.

Extending Airbyte: Creating a Source Connector for Wrike

Find out if Airbyte's claims of outstanding extensibility hold up under scrutiny when building a new connector from scratch for Wrike data.