Analytics Engineer | Junior - Mid | Infrastructure DA team

Full Time

hybrid

Infrastructure

Vilnius / Kaunas

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.

Perks we offer

Our global mission fuels our drive. But when you need that extra push - here’s a list of things to look forward to.

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Infrastructure

Vilnius / Kaunas

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