Data Engineer

Vilnius / Kaunas

Surfshark

Surfshark VPN – secure your data ● Unlimited devices ● 24/7 support ● 3200+ servers in 100 countries ● No-logs policy ● RAM-only servers, & more.

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Want to lead a culture of data-driven decision-making and turn data into actionable insights? Join our Data team at Surfshark! Our experts collect, analyze, and interpret large amounts of data, build predictive models, and create robust ETLs and dashboards that allow other teams to monitor, plan, and achieve their goals effectively.As a Data Engineer, you'll integrate data from various sources using cloud technologies, design and optimize data pipelines, and implement software engineering best practices. You'll collaborate with data platform and analytics engineers to provide high-quality data across the organization, enabling informed decisions. If this sounds appealing, join us in this data-driven world and apply!

If you want to:

  • Design, build, and maintain robust cloud infrastructure to support data engineering processes, ensuring scalability, security, and reliability;
  • Assure that code follows established standards and best practices for performance, scalability, reusability, and quality;
  • Collaborate closely with cross-functional teams to identify, design, and implement data solutions addressing business needs;
  • Stay up to date with the latest advancements in data engineering technologies and best practices to continually improve our data infrastructure.

And you can check off:

  • 2+ years of proven experience in Data Engineering or DevOps fields;
  • Proficiency in cloud-based platforms such as AWS, Google Cloud Platform, or Microsoft Azure, with a solid understanding of their services and offerings;
  • Advanced programming skills in Python or other related programming language;
  • Experience with data orchestrators (e.g., Apache Airflow, Prefect, Mage) to automate and streamline data workflows;
  • Experience with IoC tools (e.g., Terraform, Ansible) for infrastructure provisioning and management;

Bonus points if you:

  • Possess proficiency in working with Docker containers to package and deploy applications;
  • Have experience working with dbt for data transformation and modeling;
  • Have a proven track record of building production solutions in Python and PySpark;
  • Have previous leadership experience or a strong desire to grow into a leadership role within the team.
  • Familiarity with the Scrum methodology and agile development practices;

Here’s the deal:

  • Growth and learning opportunities: time dedicated to learning, conferences, online learning platforms, and books for your professional development;
  • Health and wellness: we want you to feel and be your best. That's why we offer various benefits, from online workouts and a physical coach to health insurance and regular mental health checks;
  • Tools of your choice: choose the technical equipment and tools you need to do your best work;
  • Community and celebrations: get ready for long-lasting traditions such as yearly workation, Friday get-togethers, various team buildings and company celebrations;
  • Work-life balance: our WFA policy – an opportunity to work from anywhere in the world;
  • More days off: additional vacation days depending on your tenure;
  • Premium Surfshark accounts: for you, your family, and friends;
  • Gross salary: 3400-5300 Eur/month. Although it may vary depending on your skills and experience.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index πŸ’°

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Category: Engineering Jobs

Tags: Agile Airflow Ansible AWS Azure Data pipelines dbt DevOps Docker Engineering ETL GCP Google Cloud Pipelines PySpark Python Scrum Security Terraform

Perks/benefits: Career development Conferences Health care Salary bonus Startup environment

Regions: Europe North America

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