Senior Data Analytics Engineer

Beschreibung

Job Zusammenfassung In dieser Position entwickelst du umfassende Datenstrategien, unterstützt bei der Datenarchitektur und implementierst analytische Tools, während du mit verschiedenen Teams zusammenarbeitest und die Datenintegrität sicherstellst. Job Zusammenfassung In dieser Position entwickelst du umfassende Datenstrategien, unterstützt bei der Datenarchitektur und implementierst analytische Tools, während du mit verschiedenen Teams zusammenarbeitest und die Datenintegrität sicherstellst. Deine Rolle im Team 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. Unsere Erwartungen an dich Qualifikationen 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. Communication skills: You are fluent in both written and spoken English to communicate with our international team. Familiarity with event tracking and product analytics tools (e.g., Amplitude, Mixpanel, GA4, Segment, Snowplow). Ability to balance statistical rigor with speed, clearly communicating trade-offs and uncertainty. Erfahrung Experienced in computer science, data science, engineering, or a related field. Proven experience in a data analyst or data engineering role. Experience in ERP migrations, tax datamarts, or procurement automation; collaborate cross-functionally to enable self-service analytics for non-technical users. Experience building and analyzing funnels, cohorts, and experiments to inform product roadmap and go-to-market strategy. Unser Angebot 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. Benefits Gesundheit, Fitness & Fun 🎳 Team Events Work-Life-Integration 🕺 No Dresscode ⏰ Flexible Arbeitszeiten 🏠 Home Office Themen mit denen du dich im Job beschäftigst Cloud Computing AI Data Economy Metadaten Level: Senior Job Feld: Data, Back End Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Full Remote Unternehmenstyp: Etablierte Firma Branche: Internet, IT, Telekom Ort: Mainz | Deutschland

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