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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Senior Analytics Engineer

AI Summary ✨

Requirements:

  • 3+ years of experience in data engineering, analytics engineering, or a related field.
  • Strong proficiency in Python, SQL, and experience with dbt for data modeling.
  • Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift).
  • Familiarity with version control (Git) and CI/CD practices for data workflows.
  • Understanding of data engineering principles, including ETL/ELT processes.
  • Ability to collaborate cross-functionally with data engineers, analysts, product, and business teams.
  • Strong problem-solving skills and attention to detail.

Nice to have:

  • Knowledge of orchestration tools like Airflow.
  • Familiarity with data visualization tools (e.g., Looker, Tableau) and their integration with analytics models.

What you'll be doing:

  • Data Modeling and Development:
    • Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt.
    • Ensure data is structured to support self-service analytics and business intelligence.
    • Optimize query performance and data processing efficiency.
  • Collaboration and Stakeholder Management:
    • Work closely with data engineers to define data requirements and enhance ETL pipelines.
    • Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.
    • Translate business logic into reusable, standardized data models.
  • Data Quality & Governance:
    • Implement and enforce data quality best practices to ensure accuracy and consistency.
    • Monitor data integrity and troubleshoot data issues proactively.
    • Advocate for best practices in documentation, testing, and version control.
  • Tooling & Automation:
    • Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms.
    • Automate data validation and reporting processes.
    • Contribute to improving internal data tooling and workflows.

Perks and benefits:

  • Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week.
  • We offer 27 days holiday with an extra day on 2nd and 3rd year of service.
  • We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
  • Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy.
  • Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan.
  • The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.
Apply here
Delivery Hero logo

Delivery Hero

Berlin, Germany

Experience: Senior
Posted: March 21, 2025
Git
Python
dataengineering

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