Senior Data Analytics Engineer
Digistore24 USA
contract
Posted on:
Location Type: Remote
Location: Germany
Visit company websiteExplore more
Job Level
About the role
- Implement a comprehensive data strategy aligned with Digistore24’s goals.
- Support the management of the entire data domain: architecture, technology decisions, policies, procedures, cost monitoring, alerting, etc.
- Ensure the data foundation is performant and scalable to meet business needs.
- Expand analytics capabilities and drive the development of predictive models and data visualization tools.
- Communicate and align with various teams on business and technical requirements.
- Work with clear goals and objectives to ensure alignment with organizational priorities.
- Ensure the accuracy, reliability, and integrity of data analysis processes and results.
- Implement best practices for data acquisition, integration, transformation, and delivery.
- Stay informed about current technologies and trends in data engineering.
- Act as a subject-matter expert on data analytics and engineering topics and provide support and guidance when needed.
Requirements
- Fast learner with the ability to connect business and technical perspectives.
- Use cloud environments (AWS, Azure, preferably GCP) to manage and process data.
- Work with data storage solutions such as BigQuery, Redshift, and Snowflake to ensure efficient data storage and querying.
- Work confidently across teams, manage concurrent workstreams, and handle uncertainty.
- Use ETL tools like dbt, SQLMesh, and GCP DataForm to transform and prepare data for analysis.
- Ability to create and maintain dashboards, build interactive visualizations, and generate actionable business insights with Power BI, Tableau, Looker, or similar tools.
- Proficient in both project management and operational work, with the ability to delegate and coach.
- Self-motivated, able to make independent decisions, and solve problems creatively.
- Excellent verbal, written, and interpersonal communication skills.
- Background in computer science, data science, engineering, or a related field.
- Proven experience in a data analyst or data engineering role.
- Communication skills: fluent in English, both written and spoken, to communicate with our international team.
- Experience in ERP migrations, tax data marts, or procurement automation; work cross-functionally to enable self-service analytics for non-technical users.
- Familiarity with event-tracking and product analytics tools (e.g., Amplitude, Mixpanel, GA4, Segment, Snowplow).
- Experience building and analyzing funnels, cohorts, and experiments to inform the product roadmap and go-to-market strategy.
- Ability to balance statistical rigor with speed and clearly communicate trade-offs and uncertainties.
- This position is not for you if you have less than 3 years of experience in relevant data roles.
- If you view software development only as the act of writing code.
- If you cannot write high-quality code without a modern framework or require Windows to develop.
- If you make code changes without understanding the consequences.
- If you lack a sense of ownership and need to discuss every detail with your product manager or colleagues.
- If you do not have the ambition to continuously expand your knowledge.
- If you do not identify with our values (PLEASE READ THESE).
- If you are looking for a B2B contract: we CANNOT offer this.
- If you DO NOT reside in Europe (continent).
Benefits
- Play a key role in shaping our innovative projects within a collaborative working environment — with flexible hours and location.
- Work from our partner’s coworking spaces or your home office, provided you can guarantee an uninterrupted internet connection.
- Regular professional development and training.
- The stability of an extremely successful German high-tech company funded by its successful product rather than investors.
- Results-oriented teams and a culture of direct feedback.
- State-of-the-art equipment: MacBook.
- International, collaborative team with strong cohesion.
- Spectacular team events across several European countries.
- Autonomy from day one.
- Work with first names within your team, no dress code, and on equal footing.
- Flexible working hours from Monday to Friday.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data strategydata architecturedata analysispredictive modelingdata visualizationETLSQLdata storage solutionsdata engineeringdata transformation
Soft Skills
fast learnercommunication skillsproblem solvingself-motivatedteam collaborationproject managementcoachingindependent decision makinginterpersonal skillsability to handle uncertainty