Logo Digistore24

Senior Data Analytics Engineer

Job

  • Level
    Senior
  • Job Field
    Data, Back End
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Berlin
  • Working Model
    Full Remote
  • Job Summary

    In this role, you will develop data strategy solutions, implement ETL processes, utilize cloud technologies for data analysis, and create visualizations to support data-driven decision-making.

    Job Technologies

    Your role in the team

    • Execute a comprehensive data strategy aligned with Digistore24's objectives.
    • Support to manage the full data domain: architecture, technology choices, policies, procedures, cost monitoring, alerting, etc.
    • Ensure the data foundation is performant and scalable to meet business needs.
    • Enhance analytics capabilities and drive the development of predictive models and data visualization tools.
    • Communicate and align with various teams on business and technical needs.
    • Perform on clear goals and objectives, ensuring alignment with organizational priorities.
    • Ensure the accuracy, reliability, and integrity of data analytics processes and outputs.
    • Implement best practices for data acquisition, integration, transformation, and delivery.
    • Stay current with emerging technologies and trends in data engineering.
    • Serve as a subject matter expert on data analytics and engineering topics, providing guidance and support as needed.

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    Our expectations of you

    Qualifications

    • Fast learner with the ability to connect business and technical perspectives.
    • Utilize cloud environments (AWS, Azure, preferably GCP) to manage and process data.
    • Work with data warehousing solutions such as BigQuery, Redshift, and Snowflake to ensure efficient data storage and retrieval.
    • Comfortable working across different teams, managing multithreading, and handling ambiguity.
    • Employ ETL tools like dbt, SQLMesh, and GCP DataForm to transform and prepare data for analysis.
    • Ability to build and maintain dashboards, create interactive visualizations, and generate actionable business insights using Power BI, Tableau, Looker or similar tool.
    • Proficient in both project management and operational work, with the ability to delegate and coach.
    • Self-motivated, capable of making independent decisions, and solving problems innovatively.
    • Excellent verbal, written, and interpersonal communication skills.
    • Communication skills: You are fluent in both written and spoken English to communicate with our international team.
    • Familiarity with event tracking and product analytics tools (e.g., Amplitude, Mixpanel, GA4, Segment, Snowplow).
    • Ability to balance statistical rigor with speed, clearly communicating trade-offs and uncertainty.

    Experience

    • Experienced in computer science, data science, engineering, or a related field.
    • Proven experience in a data analyst or data engineering role.
    • Experience in ERP migrations, tax datamarts, or procurement automation; collaborate cross-functionally to enable self-service analytics for non-technical users.
    • Experience in building and analyzing funnels, cohorts, and experiments to inform product roadmap and go-to-market strategy.

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    What we offer

    • You will play a crucial role in shaping our cutting-edge projects in our collaborative work environment - while enjoying flexibility in working time and location.
    • Work in our partner's coworking spaces or in your home office, as long as you can guarantee uninterrupted internet access.
    • Regular further education.
    • The stability of an extremely successful German high-tech company that is funded by its successful product and not by investors.
    • Outcome-focused teams and a culture of direct feedback.
    • Modern equipment: Thinkpad or MacBook.
    • International, collaborative team with strong cohesion.
    • Spectacular team events in various European countries.
    • Autonomy from day one.
    • Work in your team on a first-name basis, without a dress code, and at eye level.
    • Flexible working hours from Mondays to Fridays.

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    Benefits

    Health, Fitness & Fun

    Work-Life-Integration

    Topics that you deal with on the job

    Job Locations

    • Location Berlin

      Germany

    This is your employer

    Digistore24

    Digistore24

    Hildesheim

    We believe that information makes the biggest difference in everyone's life today. That is why we help Info-Entrepreneurs reach millions of people by automating their online business, making the world a better place step-by-step.

    Description

  • Company Type
    Established Company
  • Working Model
    Full Remote
  • Industry
    Internet, IT, Telecommunication
  • Logo Digistore24

    Senior Data Analytics Engineer

    Location
    Berlin
    Working Model
    Full Remote
    Diversity
    Open for all genders
    English Only
    English only required

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