As an Analytics Engineer (all genders) at Parkdepot, you are an active problem solver in the area of analytical data systems - aiming to leave code and engineering practices in better shape than when you first encountered them. Therefore, you take an active role in shaping our engineering culture as well as the future of our company.
To push our innovative ideas and ambitious vision forward, we are looking for talents like you! Do you have the skills to grow into this role? Then apply now and become part of something big.
- Design, develop, and maintain analytical data systems
- Assume responsibility for debugging and troubleshooting data system issues
- Lead, review, and consult with other departments and teams utilizing data systems
- Create and maintain documentation for data systems
- Architect and develop data systems to ensure scalability as well as cost efficiency
- Continuously evaluate and enhance data system performance
- Engineer tools and scripts to automate, run, and support the data systems
- Prioritize collaboration and efficient communication
- Embrace an independent working style and take ownership of assigned tasks
- Adhere to existing standards and best practices for securely storing and using data while contributing to their improvement
- Your Background: Minimum of 3 years of experience in analytical data development.
- Your Passion: A strong interest in data development and the foundational concepts underlying it.
- Your Experience Includes:
- Working with the foundations of data warehouse/ data lakes
- Administration and development for BigQuery or a comparable cloud system (e.g., Snowflake, Redshift, Databricks) or analytical systems (e.g. Exasol, Hadoop, Clickhouse, etc.)
- Proficiency in SQL, preferably experience with dbt (comparable systems are acceptable, e.g., sqlmesh, SDF, etc.).
- Integration of data sources, preferably with Airbyte (comparable systems are acceptable, e.g., Fivetran, etc.).
- Data flow orchestration, preferably with dagster (comparable systems are acceptable, e.g., Airflow, prefect, etc.).
- Proficiency in Python (optionally Java or Scala).
- Event streaming experience, preferably with Kafka (alternatively, Flink, Pulsar, Redpanda, etc.)
- Familiarity with Git.
- Minimum proficiency with one dashboarding solution (e.g., Metabase, PowerBI, Tableau)
- Experience using services on top of data systems (e.g., GraphQL, Rest APIs, etc.)
- Your Work Ethic: Working independently and having solution-oriented thinking are among your strengths, as well as analyzing and preparing data.
- Your Performance: Ambitious to actively contribute to the development and success of the company and thrive in an agile environment.
- Proactive Problem-Solving & Analytical Thinking: Willingness to improve code and engineering practices continuously.
- Your Language Skills: Strong written and spoken English skills (level C1 on the CEFR scale).
- Flexibility: Our model allows you to tailor your work schedule to your unique requirements, ensuring maximum flexibility.
- Equipment: Decide on your own equipment to work efficiently and comfortably.
- Workation: Work in inspiring locations during your Workation for fresh ideas.
- Measurable goals: Our agile methods allow you to directly measure your impact on our product and company success.
- Catering: Fresh coffee from our portafilter machine around the clock for your energy and productivity. Discover the variety of Bella&Bona, our online cafeteria, or help yourself to our fruit basket or enjoy breakfast at the cereal bar.
- Dress code: Dress in a way that makes you feel most comfortable.
- Events: Celebrate our successes at our legendary team events and OKR parties.
- Development: Take advantage of our language courses or in-house training programs to learn new skills.
- Health: We support your health and fitness with EGYM to keep you active.
- Security: Your workplace security is ensured by our profitable business model.
- Profit sharing: Benefit from our Virtual Stock Option Plan (VSOP) and participate in the success of Parkdepot.
Regardless of your background, origin, gender identity, or individual circumstances, it's your personality that interests us. That's why we're committed to