The world’s most advanced VPN, and a whole lot more.
If you’re a curious problem-solver who carves their own path, join the team behind Threat Protection Pro, the NordLynx protocol, and the fastest VPN on the planet—tools that put privacy, security, and control back in people’s hands.
Your impact? Helping millions take back control of their online security, privacy, and data.
Main Responsibilities
Acquire data from various data sources (APIs, relational and non-relational databases, queues …) by developing scripts, workflows, and ETL pipelines
Support ETL processes and data transformations to address stakeholder requests
Maintain existing data models’ integrity and structure on the data warehouse
Use GitLab for version control, managing branches, creating merge requests, and conducting peer code reviews
Monitor and analyze pipeline performance and data accuracy
Participate in code reviews and writing unit tests to ensure high-quality solutions
Ensure all pipelines and processes comply with internal guidelines and requirements
Closely work with data analytics team to help them automate repetitive tasks, improve efficiency and consistency, also create ad-hoc datasets
Discover opportunities for data acquisition, diagnostics, mapping, and correction
Recommend and validate different ways to improve data reliability, efficiency, and quality
Collaborate closely with cross-functional teams to ensure accurate understanding of data and business processes
Core Requirements
Advanced proficiency in Python, experience with PySpark
Basic knowledge of interacting with APIs (API requests)
Familiarity with MinIO or similar environments for large-scale data workloads
Comfortable working with GitLab (creating branches, committing code, creating merge requests, code reviews)
Understanding of Git workflows and best practices
Hands on experience with unit testing and code reviewing
Experience with Apache Airflow (creating and maintaining data pipelines) or familiarity with other orchestration tools is a plus
Passion for data analysis with focus on data quality
Experience creating dashboards in tools like Looker or Grafana is a plus
Proficiency in SQL, experience with BigQuery and dbt (data build tool) is a plus
Knowledge of OpenSearch is a plus
Ability to critically assess incoming requests, clarify requirements, and define a clear execution roadmap
Excellent communication skills, problem-solving abilities, and a collaborative mindset
Tool You Will Use
Python & PySpark
Apache Airflow
GitLab
Looker & Grafana
Salary Range
Monthly gross salary from 2600 - 4800 EUR.
