Software Engineer @ RTB House

Software Engineer @ RTB House

Polsko

• 5 years of experience in software development and data engineering.
• Very good knowledge of SQL and Python
• Proficiency in designing ETL processes and database schemas
• Ability to conceptualize a technical design as part of system development
• Independent programming work, ability to work with minimal supervision
• Proficiency in cloud-native development and CI/CD tools, including knowledge of GitHub and services such as Google Cloud Run, Workflows, Vertex AI.
• Communication skills, ability to work in a team and coordinate with other teams.
• Analytical thinking and a solid understanding of statistical fundamentals.
• Fluency in English

RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel.

We Offer: 

• A unique opportunity to join an award-winning organisation, one of the fastest-growing tech companies in Europe
• Ability to lead innovative and impactful projects within the organisation
• Great environment for growth and skills development, work in a team of enthusiasts
• Modern tech stack and access to high computational power
• Remote or hybrid work model
• Attractive salary

,[Develop a system supporting upper-funnel advertising campaigns, Write a code (including Python) and configuring infrastructure in Google Cloud, Build a scalable and serverless applications (microservices), utilizing Google Cloud Run and design the orchestration of complex data processing tasks using Google Workflows, Implement and maintain innovation and research (R&D) solutions, including systems using generative artificial intelligence, with attention to code quality, version control in GitHub, and automation within CI/CD practices (Cloud-Native Development)., Design and develop new ETL data processing pipelines (including SQL, Google Dataform), Formulate and validate statistical hypotheses, researching large amounts of data to improve ad targeting, Optimize computational complexity in data processing workflows.] Requirements: Python, SQL, GCP, BigQuery Tools: Jira, Confluence, GitHub, GIT, GitHub Actions, Agile, Scrum, Kanban. Additionally: Training budget, Flat structure, International projects, In-house trainings, Team Events, English lessons, Small teams, Free coffee, Shower, Free snacks, Free beverages, Modern office, No dress code.

Kategorie

backend

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