HOMEOFFICE / FLEXIBEL / VOLLZEIT ODER TEILZEIT (AB 32 H) / (M/W/D)
Remote Senior Data Analytics Engineer
HOMEOFFICE / FLEXIBLE / FULL-TIME / (M/F/D)
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 webpage and our company values. 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 give millions of people access to valuable knowledge and provide them with the tools to truly achieve their goals.
What makes us special: we are 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 vision. What connects 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 grow, we are continuously and sustainably expanding our teams and are looking for individuals who take ownership, think proactively, and want to shape the future with us.
With smart decisions and strong negotiation skills, you will manage our software portfolio in a cost-efficient and AI-ready way — working cross-functionally with IT Service Management, Legal, and Finance.
Your new dream job
- 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 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 role
- Communication skills: You are fluent in both written and spoken English to communicate with our international team.
- 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
- 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 positionsis 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)
Deine Benefits bei Digistore24
- 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
- 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
The Team of Digistore24
Your next steps
Does this role sound like your dream job? At the same time, can you resonate with our values?
BEFORE you apply please check out our values as we will talk about them in our first interview, so please be prepared. Are you ready to live them?
Fill out the application form on the next page, include your salary expectations, and submit your complete application documents.
Du kennst die perfekte Person für den Job?
Dann sichere dir eine Empfehlungsprovision von 2.000 €!
So gehts:
Weitere Informationen findest du hier.
