Senior Data Analytics Engineer - Remote

Overview

The Data Analytics Engineer supports the data team to drive innovation in data analytics and ensuring the reliability and scalability of our data systems.

In Short

• 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.

Requirements

• 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
• Experienced in computer science, data science, engineering, or a related field
• Proven experience in a data analyst or data engineering role
• Communication skills: You are fluent in both written and spoken English to communicate with our international team.
• Experience in ERP migrations, tax datamarts, or procurement automation; collaborate 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 product roadmap and go‑to‑market strategy.
• Ability to balance statistical rigor with speed, clearly communicating trade‑offs and uncertainty.

Benefits

• Work in our partner's coworking spaces (max. 3 days a week) 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: 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