We help companies become more data-driven with our solutions.

About the project:

Our client provides integrated, data-driven solutions that helps inspire, attract and win ideal visitors for any destination (DMO=Destination Marketing Organization) from any predefined origin market. Our client helps to DMO-s to spend their marketing/ad budget on the "most" effective manner, applying campaigns, targeting the most promising users.

Our client receives several types of data from the partners directly/nondirectly related to the campaigns. It is a very important requirement for any DMO to see these kind of data during the campaign and also the count of visitors attributed to the ad campaigns

What You Will Do Daily

As a Data Engineer on this particular project You will mainly work on the backend area, you will be responsible for SQL pipelines maintenance and development in Airflow and BigQuery. You will also develop data import pipelines from Cloud Storage to BigQuery.

Tech stack:

• Python/Airflow
• Google Cloud Services (GCS) for Data Warehousing
• Terraform for PROD deployments
• Tableau for reporting purposes
• Atlassian products for process management and knowledge sharing

• Good Understanding of ETL processes
• Experience in developing and maintaining ETL jobs/data pipelines
• Advanced SQL
• Advanced/Intermediate BigQuery
• Basic/Intermediate Python
• Experience with Git/GitHub
• Experience with Tableau (only an advantage)
• Excellent communications skills in English (both written and oral);
• Intelligent, communicative team-player personality, interested in and willing to learn new skills and technologies.

Exciting projects: We work on projects that can last from a couple of months to a couple of years. When you finish one project and go on to the next one, you get to learn about new technologies, solve new challenges, get to know new business domains, and teams.

Internal training opportunities: Continuous learning is important for us; therefore, we have an internal training system in place: our more senior experts teach courses to those who are interested in learning that specific fields. We have communities who share best practices or exciting challenges and solutions through internal webinars. It’s truly inspiring!

Office: Although right now, we are all working from home, once we come back to the office, you'll recognize our office as one of our perks. Our Budapest office is in the 13th district, easily approachable by Metro 3, you just need to take off at Forgách utca and walk 2-3 minutes. We have a really cool office environment, check it out HERE. 

Benefits: We offer parking if you travel by car or BKK pass if you travel by public transport – these benefits are available at the current situation. We also provide online English lessons and support your healthy lifestyle with online yoga classes and Life1 unlimited gym pass (when the gyms are open.) 

Some Further Practical Details:

Start date: As soon as possible, but if you currently work somewhere and have a notice period, it’s still fine, we will wait for the right person!

Compensation range: The range for this role is approximately gross 800.000 - 1.200.000 HUF per month. The final amount in your offer will depend on your expertise and professional experience. 

Home office now: Right now, we are working from home, going to the office is optional. Probably in the beginning, it would make sense for you to come at least a couple of days per week, but this is up to discussion once we get started. 

Selection process

1.       Phone conversation with one of our HR BPs - We will briefly talk about your motivation and experience and we will switch to English for a few questions.

2.       Online test via Hackerrank - You will have to fill out our Python test that takes 1.5 - 2 hours.

3.       Video interview with the experts on the team. They will tell you more about the Data Engineer role at Starschema, and you will also talk about your professional background.