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- Aufgaben: Lead the design and optimization of our data warehouse and manage data pipelines.
- Arbeitgeber: Crewmeister is a top solution for time tracking and shift planning, helping over 14,000 small businesses.
- Mitarbeitervorteile: Enjoy remote work flexibility, team events, lunch vouchers, and a vibrant office atmosphere.
- Warum dieser Job: Transform data into insights, mentor talent, and thrive in a dynamic SaaS environment.
- Gewünschte Qualifikationen: 5+ years in data engineering, expertise in data warehouses, Python, SQL, and a relevant degree.
- Andere Informationen: Join a passionate team in Munich and make a meaningful impact on our data capabilities.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
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 centralizes 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 organization and deliver clear, simple KPI values with consistent visualizations to show actual performance, target achievements, and trends at all levels. Highlight areas where performance meets expectations and where action is required.
- Provide specialized, 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 behavior, 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!
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Senior Data Engineer (m/w/d) Arbeitgeber: Crewmeister
Kontaktperson:
Crewmeister HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Engineer (m/w/d)
✨Tip Number 1
Familiarize yourself with Crewmeister's core values and mission. Understanding how your role as a Senior Data Engineer aligns with the company's goals will help you articulate your passion for the position during the interview.
✨Tip Number 2
Showcase your experience with data warehousing and pipeline development by preparing specific examples of past projects. Be ready to discuss how you optimized data processes and the impact it had on decision-making.
✨Tip Number 3
Highlight your proficiency in Python and SQL by discussing any relevant tools or frameworks you've used. If you have experience with Google BigQuery or LookerStudio, make sure to mention it, as this could set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your approach to mentoring interns and working students. Crewmeister values collaboration and growth, so sharing your experiences in guiding others will demonstrate your leadership potential.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Engineer (m/w/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Engineer position at Crewmeister. Tailor your application to highlight your relevant experience in data warehousing, pipeline development, and predictive modeling.
Highlight Relevant Skills: In your CV and cover letter, emphasize your expertise in Python, SQL, and any experience with Google BigQuery or LookerStudio. Mention specific projects where you've successfully designed and optimized data warehouses or developed predictive models.
Showcase Your Impact: Use quantifiable achievements to demonstrate how your work has positively impacted previous employers. For example, discuss how your data-driven insights led to improved decision-making or operational efficiency.
Personalize Your Application: Address your application to the hiring team at Crewmeister and express your enthusiasm for joining their dynamic SaaS environment. Mention why you are particularly interested in their mission and how you can contribute to their success.
Wie du dich auf ein Vorstellungsgespräch bei Crewmeister vorbereitest
✨Understand the Company’s Operations
Before your interview, take the time to research Crewmeister's operations, goals, and performance drivers. This will help you demonstrate your commitment to understanding how your role as a Senior Data Engineer can impact the company.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data warehouses, data modeling, and pipeline development. Highlight any specific projects where you've used Google BigQuery, Python, or SQL, as these are crucial for the role.
✨Prepare for Predictive Modeling Questions
Since the role involves developing predictive models, be ready to explain your approach to forecasting trends and customer behavior. Share examples of how you've used tools like TensorFlow or scikit-learn in past projects.
✨Demonstrate Your Collaborative Spirit
Crewmeister values collaboration across departments. Be ready to discuss how you've worked cross-functionally in previous roles and how you plan to mentor interns and working students in this position.
