Mid/Senior Analytics Engineer

1 tydzień temu

Warszawa, Mazovia, Polska Surfshark Pełny etat 40 000 € - 80 000 € rocznie

Want to lead a culture of data-driven decision-making and turn data into actionable insights? Join the AI & Data Platform Engineering Department at Surfshark Our experts collect, transform, model, test and document large amounts of data through robust ELT pipelines built on top of stable and reliable data platforms that allow other teams to drive insights and innovation.

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:
  • Proven experience in Analytics Engineering or a similar role, e.g., BI developer;
  • Excellent and proven skills in using SQL, capable of writing easily understandable, maintainable, and efficient SQL commands;
  • dbt technology knowledge – a transformation command tool that allows implementing analytics code using SQL;
  • 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:
  • Know your way around 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.

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, a physical coach and a gym to regular mental health checks;
  • Tools of your choice: choose technical equipment and the tools you need to do your best;
  • Community and celebrations: get ready for long-lasting traditions such as yearly workation, Friday get-togethers, various team buildings and company celebrations;
  • Convenient commuting: traveling from point A to point B can be a pain. That's why, depending on your unique circumstances, we compensate part of your public transport costs;
  • Work-life balance: We encourage working in the office, with the possibility of up to two remote days per week. Plus, with our WFA policy, you can work from almost anywhere in the world;
  • Premium Surfshark accounts: for you, your family, and friends;
  • Gross salary: Eur/month for the Lithuanian market. It may vary depending on your skills, experience.

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