Data Engineer

Pagos.ai • Europe Only

Company

Pagos.ai

Location

Europe Only

Type

Full Time

Job Description

Time zones: SBT (UTC +11) GMT (UTC +0) CET (UTC +1) EET (UTC +2) MSK (UTC +3)

About the Role

As a Data Engineer you’ll play a key part in building and maintaining the platform that powers our products. By collaborating with backend engineers data analysts and other engineers you’ll build and own new features modules and extensions of our systems. We’re seeking an action-oriented and collaborative problem solver who thrives in ambiguity and can take on new challenges with optimism in a fast-paced environment. We value team members who are not only skilled in their area of expertise but are also perpetual learners who are committed to growth and contributing to our collective success.

In this role you will:
  • Craft high-quality code for scale availability and performance
  • Design develop and maintain scalable data pipelines and processes to extract process and transform large volumes of data both real-time and batched (ELT/ETL)
  • Build and maintain integrations with data providers using various data transfer protocols
  • Drive engineering projects from start to finish with a high level of ownership and autonomy
  • Ensure the quality of our products and data through both manual and automated testing as well as code reviews

We’re looking for someone with:
  • 8+ years of software engineering experience with an emphasis on Data Engineering
  • Bachelor’s degree or higher in Computer Science or related technical discipline (or equivalent experience)
  • Advanced experience with complex SQL queries and database/lakehouse technologies such as Redshift Apache Iceberg and Postgres
  • Deep experience with big data technologies and frameworks such as Apache Spark DBT as well as data quality tools like DBT (test)
  • Familiarity with cloud platforms like AWS GCP or Azure and common data-related services (e.g. S3 Redshift EMR Glue Kinesis Athena)
  • A bias for action where no task is too small and an eagerness to learn and grow with our industry

Nice to have:
  • Experience with real-time streaming frameworks like Apache Kafka
  • Experience with Great Expectations and/or Soda
  • Comfort and/or past experience working and managing big data and ELT pipelines
  • Comfort and/or past experience working with Temporal Apache Airflow or similar orchestration tools
  • Experience working in high-growth venture-backed startup(s)
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Date Posted

01/30/2025

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