Job Description

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

=> Please do NOT apply without checking our and our company . We are looking for team members who share our vision and carry out our culture. Would you really like to work with us? And can you really live our values?

Who is Digistore24?

We are one of the fastest-growing tech companies in Europe.

What drives us? We shape the digital future! Our mission is to empower people with our software and expertise to share their knowledge online, enabling them to fulfill their dream of an own business. As a result, millions of people gain access to information that helps them reach their goals. To keep pace with our growth, we aim to expand our teams sustainably. We emphasize working with experts and strong personalities who share our values – regardless of their location.

Your new dream job at Digistore24

• 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.

Your benefits at Digistore24

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

Requirements

Your superpower

• 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." Add this requirement after "Work with data warehousing solutions
• 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.

This position is NOT for you if…

• … you have less than 3 years of experience in relevant data positions
• … you view software development as only the activity of code writing
• … you cannot write high quality code without a modern framework or need Windows to develop
• … you casually make changes to codes without understanding their consequences
• … you can’t take ownership and need to discuss every detail with your product manager or colleagues
• .. you do not have the ambition to continuously expand your knowledge
• .. you do not identify with our values (PLEASE READ THEM)
• .. you are looking for a B2B contract: we can NOT offer this
• .. you are NOT based in Europe (continent)

Our values

=> Please take a REALLY close look at the . Are you ready to live them?