Develop and maintain ETL pipelines for data extraction, transformation, and loading.
Contribute to the design and implementation of scalable data infrastructure.
Write and optimize SQL queries for ad-hoc analysis and data investigations.
Identify, troubleshoot, and resolve data-related issues across databases.
WHAT YOU BRING:
Degree in a relevant field or successful completion of data engineering courses. тут
1+ year of experience in a similar or related role.
Strong programming skills in Python and proficiency with Pandas.
Solid understanding of SQL, including DML and Window Functions.
Hands-on experience working with APIs and JSON data.
Familiarity with ETL orchestration tools such as Apache Airflow or dbt.
English proficiency at B2 level or higher.
Nice to have:
Experience with Google Cloud Platform (GCP) or other cloud solutions.
Knowledge of data mart design and modeling.
Exposure to ML/AI pipelines or development.
Familiarity with data visualization tools (e.g., Looker Studio, Tableau).
Experience working with Google Spreadsheets and Google Apps Script.
Background in the AdTech industry.
WHAT WE OFFER:
USD-based salary that values your expertise.
Work from anywhere – fully remote to suit your lifestyle.
31 days of paid time off – 21 days of annual leave + 10 days sick leave, because balance matters.
Growth-focused environment – access to learning resources and clear pathways for advancement.
Fun team events: Join our online cooking classes, yoga sessions, and more – all from home!
A Culture of Trust – Say goodbye to bureaucracy and micromanagement; we focus on results, not processes.
STEPS OF THE SELECTION PROCESS:
Screening Interview (45 minutes) – Initial conversation with a recruiter.
Technical Interview (up to 60 minutes) – A deep dive into your functional expertise, problem-solving approach, and practical skills relevant to the role.
Final Interview (Up to 60 minutes) – Meet with the Team Lead for an in-depth discussion of your experience and skills.
Offer – If successful, you’ll receive an offer to join our team.
AI Digital does not discriminate on the basis of race, color, religion, gender identity or expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class in terms of employment. We support workplace diversity and believe strongly that it contributes to a broader collective perspective that consistently leads to better products and a better company. We are working hard to increase the diversity of our team.
Note: This role is open to applicants from:
EMEA (selected countries)
Please note that we’re unable to consider applications from outside these regions. Thanks for your understanding!
