Senior Data Analytics Engineer - 100% Remote

Job description

Job Description STARTING SALARY: €50,000–65,000 GROSS ANNUAL SALARY (DEPENDING ON PROFESSIONAL EXPERIENCE AND QUALIFICATIONS) 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 a fast-growing technology company with a clear vision: We shape the digital future. Our mission? To empower people around the world to share their knowledge online and build their own successful businesses. With our platform, we enable millions of people to access valuable knowledge and provide them with the tools they need to truly achieve their goals. What makes us special: We are a team of around 200 highly motivated employees who don’t wait for instructions but actively shape their day-to-day work and continuously improve it - just like our customers. Our team is as diverse as our ideas: People from over 40 different countries of birth work together toward one shared vision. What unites us are our values, our drive, and our ambition to truly make an impact. We’re not big talkers: we’re doers. We love to perform. As we continue to grow, we are expanding our teams in a focused and sustainable way and are looking for individuals who take ownership, think proactively, and want to shape the future with us. 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 (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 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 … view software development as only the activity of code writing … cannot write high quality code without a modern framework or need Windows to develop … casually make changes to codes without understanding their consequences … can’t take ownership and need to discuss every detail with your product manager or colleagues ... do not have the ambition to continuously expand your knowledge ... do not identify with our values (PLEASE READ THEM) ... are looking for a B2B contract: we can NOT offer this ... are NOT based in Europe (continent) Our values => Please take a REALLY close look at the . Are you ready to live them?