Data Engineer

Intellias
location_on гр. София

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  • Пълно работно време
  • Постоянна работа
  • Възможност за работа от вкъщи
  • Дистанционно интервю

Пълно описание


Over 20 years of market experience, we brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow!

What project we have for you:

Our team operates at the frontlines of our efforts to support Google and owns the campaign management functionalities that allow users to scale, automate and optimize their ad operations on Google Ads.

Join us in building new end-to-end automation solutions and scaling existing automation pipelines to help our customers automatically launch and iterate their Google advertising.

The team has recently started working with exciting new campaign types within Google Ads and we’re looking to scale up our team to expand our Google Ads offering.

We design, build and maintain client-facing APIs and automation services using, Node.js, TypeScript, PostgreSQL, RabbitMQ, Redis, and user interfaces using React for core UI workflows, as well as service integrations to the other project’s infrastructure. From you, we expect solid skills with Node.js, React, and TypeScript.

What you will deal with:

  • Develop, maintain, and optimize our data infrastructure
  • Work with large-scale cloud data warehouses like, for example BigQuery, Snowflake, and PostgreSQL ensuring data quality, accuracy, and reliability across the board.
  • Design, implement, and manage ETL/ELT pipelines to move data into our data warehouse efficiently
  • Develop and maintain internal tools for easier and more efficient data processing
  • Collaborate with cross-functional teams to ensure seamless integration of data into our product and company environments.
  • Build and maintain APIs that provide easy access to data for internal teams or external integrations
What you need for this:
  • Strong programming skills in SQL and Python
  • Hands-on experience developing workflows in Airflow to automate, schedule, and orchestrate data pipelines
  • Experience with cloud platforms and data warehousing solutions (e.g., AWS, Snowflake, GCP)
  • Practical experience working with messaging and streaming technologies such as Kafka, RabbitMQ, or similar platforms
  • Fluency in English, both written and spoken.
  • Professional, problem-solving mindset, with a proactive and passionate attitude.
  • Ability and willingness to work from our Helsinki office for three days a week.
Bonus points if you have
  • Experience working with Kubernetes for container orchestration
  • Experience working with TypeScript or Ruby
  • Data analysis experience
What it’s like to work with us:

We are committed to being an equal opportunity employer, fostering equity, diversity, and inclusion. We welcome and celebrate the differences of all qualified applicants. Join our team for a career where your unique perspectives are not only valued but crucial to our success.


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