Senior Data Engineer | Threat Protection

Nord Security; Poland; Remote; PLN 210,000 - 330,000; Full time

Benefits offered by this job

Mentorship

Extra vacation days

Private health insurance

In-house gym/fitness

Work from anywhere

Team events

Job summary

Nord Security is seeking a data engineer to design, build and maintain robust data pipelines across sources, ensuring data accuracy and scalable processing in cloud environments.

You will mentor junior engineers and collaborate on data modeling, ETL, and datalake management, using PySpark, Databricks, AWS, SQL and Kafka to support Threat Protection features.

Qualifications

• Previous Data Engineering experience.
• Proficiency in modern languages such as Python, Scala, Go or Java.
• Experience with big-data technologies and distributed data systems.
• Familiarity with data integration platforms in Cloud.

Responsibilities

• Design, develop and maintain robust data pipelines to collect, process and store data from various sources.
• Optimize and fine-tune data processes for performance and scalability.
• Work on data modeling, ETL processes and datalake management to ensure data accuracy.
• Lead and guide junior engineers, providing technical guidance and support.
• Actively participate in addressing data-related issues.

Skills

Python/Scala/Go/Java

Big-data architectures

Cloud data integration

Tools

PySpark

SQL

Databricks

AWS

Kafka

Cassandra

PostgreSQL

Terraform

Job description

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.

The Threat Protection department is responsible for all of the cybersecurity features inside our products to secure our users from malicious actions and ensure customer privacy. To achieve the desired security goals, we are sharp and base our attitude on high ethical standards and integrity.

Main Responsibilities

• Design, develop and maintain robust data pipelines to collect, process and store data from various sources;

• Optimize and fine-tune data processes for performance and scalability;

• Work on data modeling, ETL processes and datalake management to ensure data accuracy;

• Lead and guide junior engineers, providing technical guidance and support;

• Actively participate in addressing data-related issues.

Core Requirements

• Previous Data Engineering experience;

• Proficiency in modern languages such as Python, Scala, Go or Java;

• Bring experience with big-data technologies and distributed data systems;

• Display familiarity with data integration platforms in Cloud.

Tools You Will Use

• PySpark;

• SQL;

• Databricks;

• AWS;

• Kafka;

• Cassandra;

• PostgreSQL;

• Terraform;

What We Offer

• Sharpen your edge: training, mentorship, and room to grow - always.

• Take the time you need: extra vacation days, sick days, and time off when life calls.

• Get premium healthcare: private health insurance in Lithuania and Poland - fully covered.

• Protect your peace: enjoy free subscriptions to Calm, Headspace, and Mindletic, and our own resilience and mindfulness trainings.

• Own your fitness: in-house gyms, sport cards, online workouts, and personal guidance - on us.

• Pack your bags for workation: experience our company-wide trip abroad to the fullest.

• Work from anywhere: work from wherever keeps you in the zone.

• Celebrate your milestones: birthdays, weddings, and new family members - all deserve a gift.

• Parent with ease: children's summer camps and flexibility around the schedule - because parenting never pauses.

• Join the party: team building and company events people talk about for months.

• Unlock Cyber City: coffee bar, open gyms, kids' room, music room, massage chairs - our Vilnius HQ is yours to enjoy.

Kindly refer to our Privacy Notice for Recruitment Candidates for comprehensive information regarding our data handling procedures throughout recruitment processes.

We expect all candidates to provide accurate and complete information during the recruitment process. While limited use of AI tools to refine application materials is acceptable, candidates remain fully responsible for ensuring that their submissions reflect their own qualifications, skills, and experience. Any failure to do so may negatively affect participation in the recruitment process. If broader AI assistance is allowed for a particular role or stage, we'll let you know in advance.

By submitting your application, you acknowledge that it may be processed using automated tools for evaluation purposes. As part of our recruitment process, we may use an AI-based application review tool to help assess applications based on skills and experience relevant to the role. This technology is used to support - not replace - human decision-making, and every application is ultimately reviewed by a recruiter.

If you would like more information about how AI is used in this process or wish to exercise your rights under applicable data privacy laws, please contact us at [e-mail]. Should you prefer to opt out of the automated evaluation, please submit your application directly to [e-mail].