Crewmeister is the leading solution for time tracking and shift planning for small businesses. With our software, we help over 14,000 customers overcome the chaos of timesheets. At the core of our success are our team members — a dedicated group of over 60 individuals who bring passion, curiosity, analytical prowess, and innovative thinking to elevate our customers' success even further.

As a Senior Data Engineer at Crewmeister, you’ll play a pivotal role in shaping data-driven strategies that impact the entire company. You’ll lead the design and optimization of our data warehouse, making critical insights accessible to our teams while building predictive models to drive proactive decisions. This role is perfect for someone who’s passionate about transforming data into actionable insights, collaborating cross-functionally, and mentoring emerging talent—all within a dynamic SaaS environment. Join us in Munich and help elevate our data capabilities to the next level!

Tasks

Extend and maintain a professional, comprehensive and accurate data warehouse that centralises and structures our data Manage all data pipelines into the warehouse, from various internal and external systems. Develop and maintain the permissions in the data warehouse.
Provide and promote usage of KPIs across the organisation and deliver clear, simple KPI values with consistent visualisations to show actual performance, target achievements, and trends at all levels. Highlight areas where performance meets expectations and where action is required.
Provide specialised, data driven dashboards for the business departments to conduct in-depth analyses on relevant business metrics and dimensions.
Develop and maintain predictive models to forecast trends, customer behaviour, and potential risks, enabling proactive decision-making and strategic planning.
Lead interns and working students.

Requirements

Strong commitment to understanding the company’s operations, goals, and performance drivers within all departments
Expertise in designing, building, and optimizing data warehouses; experience with data modeling, schema design, and data pipeline development. Specific experience with Google BigQuery is a plus
Experience with integrating data from a variety of sources, including APIs, web services, and third-party applications
Strong proficiency in Python and SQL for data manipulation, ETL development, and automation
Familiarity with visualization and BI tools to support the design of dashboards and clear, actionable data presentations. Specific experience with Google LookerStudio is a plus
Experience with predictive modeling, time series analysis, and customer behavior analysis to anticipate trends and enable proactive decisions
Familiarity with tools like TensorFlow, PyTorch, or scikit-learn (not required, but a plus)
Proactive and creative approach to diagnosing and solving data challenges
Ability to interpret complex data and communicate actionable insights
5+ years of experience in data engineering (preferably in SaaS)
Bachelor’s Degree in Computer Science, Data Engineering, Information Systems, or a related field
Fluent English language skills

Benefits

Job with freedom and significant responsibility to make a difference with our talented international team.
Home Office Flexibility: Maximize your performance by working from wherever you are most productive.
Work and make an impact from our vibrant office in the Werksviertel Start-Up hub, where you can enjoy freshly brewed coffee from our in-house barista.
Bond with your Crew through exciting team events such as soccer championships, yoga sessions, company-wide runs, and more
Enjoy benefits like: lunch vouchers, JobRad, gym discounts, complimentary tickets, MacBook, discounted rail pass
Relocation support/help with visa if required.

With us, you not only receive the security of a financially strong corporation, but also the corporate culture and advancement opportunities of a startup.

At Crewmeister, it's more than just a job; it's about you and your potential to make a meaningful impact. Show us your true self through your resume and later during our personal interview.

We look forward to possibly welcoming you to our crew very soon!

Do you have any remaining questions?
Our HR team is here for you!