Senior Data Analytics Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• Develop and execute a comprehensive data strategy that aligns with the objectives of Digistore24.

• Assist in overseeing the entire data landscape, including architecture, technology choices, policies, procedures, cost management, and alerting.

• Ensure the data infrastructure is efficient and scalable to fulfill business demands.

• Enhance analytics capabilities and lead the creation of predictive models and data visualization tools.

• Collaborate and synchronize with various teams regarding business and technical requirements.

• Work towards clear goals and objectives to guarantee alignment with organizational priorities.

• Maintain the accuracy, reliability, and integrity of data analysis processes and outcomes.

• Apply best practices for data acquisition, integration, transformation, and delivery.

• Keep up-to-date with the latest technologies and trends in data engineering.

• Serve as a subject-matter expert in data analytics and engineering, providing support and guidance as necessary.

⛳️ Requirements

• Quick learner capable of bridging business and technical perspectives.

• Experience using cloud platforms (AWS, Azure, preferably GCP) for data management and processing.

• Proficient with data storage solutions such as BigQuery, Redshift, and Snowflake for optimal data storage and querying.

• Ability to work effectively across teams, manage multiple workstreams, and navigate uncertainty.

• Utilize ETL tools like dbt, SQLMesh, and GCP DataForm for data transformation and preparation for analysis.

• Skilled in creating and maintaining dashboards, building interactive visualizations, and generating actionable business insights using Power BI, Tableau, Looker, or similar tools.

• Competent in both project management and operational tasks, with a knack for delegation and coaching.

• Self-motivated individual capable of making independent decisions and solving problems creatively.

• Excellent verbal, written, and interpersonal communication abilities.

• Educational background in computer science, data science, engineering, or a related field.

• Demonstrated experience in a data analyst or data engineering position.

• Strong communication skills: fluent in English, both written and spoken, to engage with our international team.

• Experience with ERP migrations, tax data marts, or procurement automation; collaborate cross-functionally to facilitate self-service analytics for non-technical users.

• Familiarity with event-tracking and product analytics tools (e.g., Amplitude, Mixpanel, GA4, Segment, Snowplow).

• Competence in building and analyzing funnels, cohorts, and experiments to guide product roadmap and go-to-market strategy.

• Ability to balance statistical rigor with speed and effectively communicate trade-offs and uncertainties.

• This position is not suited for candidates with less than 3 years of experience in relevant data roles.

• Not suitable for those who view software development solely as the act of writing code.

• Not ideal for individuals who cannot write high-quality code without a modern framework or require Windows for development.

• Individuals who make code changes without understanding the implications should not apply.

• Candidates lacking a sense of ownership and needing to discuss every detail with their product manager or colleagues are discouraged from applying.

• If you do not have the ambition to continually expand your knowledge, this position may not be for you.

• Candidates who do not resonate with our values (PLEASE READ THESE) should reconsider applying.

• We CANNOT offer this position as a B2B contract.

• This role is not available for individuals residing outside of Europe (continent).

🏝️ Benefits

• Play a pivotal role in shaping our innovative projects within a collaborative work environment, with flexible hours and location.

• Option to work from our partner’s coworking spaces or your home office, provided you can ensure a stable internet connection.

• Opportunities for regular professional development and training.

• Benefit from the stability of a highly successful German high-tech company that is supported by its successful product rather than investors.

• Join results-oriented teams and experience a culture of direct feedback.

• Access to state-of-the-art equipment, including a MacBook.

• Engage with an international, collaborative team characterized by strong cohesion.

• Participate in spectacular team events across several European countries.

• Enjoy autonomy from day one.

• Work with first names within your team, without a dress code, in an egalitarian environment.

• Flexible working hours from Monday to Friday.