Mid/Senior Analytics Engineer

Business Intelligence
Want to lead the culture of data-driven decision-making? Love turning data into meaningful, actionable insights? If so, we want you on our Data team at Surfshark! This team comprises experts who specialize in collecting, analyzing, and interpreting large amounts of data, as well as building predictive models using machine learning algorithms. The Data team also takes pride in creating robust ETLs and dashboards that allow other teams to monitor, plan, and achieve their goals effectively.
If this sounds appealing, join us in this data-driven world!

If you want to:

  • Design and implement data transformation jobs using dbt to support the creation of reusable data assets that meet business requirements and are ready for analysis;
  • Collaborate with stakeholders to understand data and analytics requirements, translating them into technical specifications and data models;
  • Develop and maintain a data warehouse that meets business needs, ensuring data accuracy and completeness;
  • Collaborate with data engineers to ensure efficient, dependable, and scalable data models and pipelines to meet current and future needs;
  • Implement data quality checks and monitoring processes to ensure the accuracy, completeness, and consistency of data;
  • Encourage and facilitate the adoption of software engineering best practices for analytics, including version control, code reviews, and basic automated testing to ensure code quality and readability;

  • And you can check off:

  • Relevant BSc or MSc and at least 2 years of industry experience;
  • Excellent and proven skills in using SQL, capable of writing easily understandable, maintainable, and efficient SQL commands;
  • Proficiency in data modeling and skills in data transformation techniques;
  • Excellent communication skills in written and spoken English;
  • Ability to work cross-functionally and independently. Above all, being equally data-driven and results-driven.

  • Bonus points if you:

  • Have the dbt technology knowledge – a transformation command tool that allows implementing analytics code using SQL;
  • Are experienced with cloud-based data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake;
  • Have experience in working with programming languages such as Python and R;
  • Are familiar with Git, scrum methodology, and agile development practices.
  • Are familiar with data orchestrators (e.g., Apache Airflow, Prefect, Mage) to automate and streamline data workflows;

  • 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: as a general rule, we work based on a 3+2 hybrid model. And let’s not forget the 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: 3000 - 5500 Eur/month. Although it may vary depending on your skills and experience.
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