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- Aufgaben: Lead a dynamic team in data engineering projects and develop innovative business intelligence solutions.
- Arbeitgeber: Join M2, where complexity meets structured solutions in the world of data.
- Mitarbeitervorteile: Enjoy hybrid work options, personal development coaching, and a fun office culture with snacks and events.
- Warum dieser Job: Be part of a diverse team that values open communication and fosters creativity in a supportive environment.
- Gewünschte Qualifikationen: Bring your SQL, data pipeline, and cloud architecture skills to the table, along with strong German and English.
- Andere Informationen: Work from Berlin or remotely and unleash your potential in a role that encourages growth.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
Data is the digital asset of a company. M2 shows pragmatic and intelligent ways to uncover and visualize this valuable potential - for structured solutions that create room for growth. Are you passionate about business intelligence consulting, leadership, data and the development of innovative solutions based on modern technologies? Then apply now as Team Lead Data Engineering (m/f/d)!
Tasks
- Technical and disciplinary leadership, coaching, mentoring and further development of a consulting team
- Supporting the customer in data-driven projects both in a consulting capacity and during implementation
- Development of architectures for business intelligence solutions
- Complete support of data-driven projects: from business requirements analysis, to architecture development, to building the data model and data pipelines, which are integrated into a data visualization or machine learning applications
Profile
- Knowledge of SQL databases (ideally Snowflake)
- Experience in creating data pipelines (ETL/ELT), ideally with dbt, Python, Snowpipe, Alteryx
- Experience in data modeling and design of data warehouse architectures
- Experience with cloud architectures, ideally with the AWS stack or Azure
- Very good German and English skills, both written and spoken
Benefits
- You are part of a young and dynamic team from over 10 different nations
- Hybrid work model: decide for yourself if you work in the office, at home or temporarily from anywhere in the world
- Opportunity for certifications in AWS and Tableau Cloud Guru, Data Camp and Sharpist coaching for your personal and professional development
- Noise cancelling headphones and free choice of device: Mac, Windows or Linux - you choose
- Urban Sports Club membership or Givve credit card
- Barbecue, beer, snacks & of course plenty of coffee in the office, on-site and digital team lunches & events
- Agile and familiar, trust-based corporate culture characterized by open communication and room for ideas
M2 values diversity. Each individual is respected as an individual. Accordingly, interaction with each other is characterized by appreciation, trust, mutual understanding, shared learning, openness and fairness. Each individual should contribute to an open and integration-friendly working atmosphere. We do not tolerate any discrimination, favoritism, harassment or bullying on the basis of race, origin, skin color, nationality, gender, religion or ideology, disability, age, sexual orientation or other characteristics.
Are you ready to unleash your potential? Start: immediately Workplace: Berlin/ remote Interested? Then feel free to fill out our form and upload your application documents, including a link to your portfolio or a PDF. Or apply by email: jobs@remove-this.m2dot.com. We are looking forward to it!
Team Lead Data Engineering Arbeitgeber: M2
Kontaktperson:
M2 HR Team
jobs@remove-this.m2dot.com
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Team Lead Data Engineering
✨Tip Number 1
Showcase your leadership skills! During the interview, be prepared to discuss specific examples of how you've successfully led teams in data engineering projects. Highlight your coaching and mentoring experiences, as these are crucial for the Team Lead role.
✨Tip Number 2
Familiarize yourself with the technologies mentioned in the job description, especially SQL databases like Snowflake and tools for creating data pipelines such as dbt and Python. Being able to speak knowledgeably about these will demonstrate your technical expertise.
✨Tip Number 3
Prepare to discuss your experience with cloud architectures, particularly AWS or Azure. Be ready to explain how you've utilized these platforms in past projects, as this will show your capability to handle the technical demands of the position.
✨Tip Number 4
Emphasize your communication skills in both German and English. Since the role requires interaction with diverse teams and clients, being able to articulate complex ideas clearly in both languages will set you apart from other candidates.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Team Lead Data Engineering
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Team Lead Data Engineering position. Highlight your experience in technical leadership, data-driven projects, and business intelligence consulting in your application.
Tailor Your CV: Customize your CV to reflect your relevant skills and experiences, particularly in SQL databases, data pipelines, and cloud architectures. Use specific examples that demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and leadership. Mention how your background aligns with M2's values and their focus on diversity and open communication.
Include a Portfolio Link: If applicable, include a link to your portfolio or relevant projects that demonstrate your capabilities in data modeling, architecture development, and implementation of data solutions. This can set you apart from other candidates.
Wie du dich auf ein Vorstellungsgespräch bei M2 vorbereitest
✨Showcase Your Leadership Skills
As a Team Lead, it's crucial to demonstrate your leadership abilities. Prepare examples of how you've successfully coached and mentored team members in the past, and be ready to discuss your approach to fostering a collaborative and innovative team environment.
✨Highlight Your Technical Expertise
Make sure to emphasize your experience with SQL databases, data pipelines, and cloud architectures. Be prepared to discuss specific projects where you've utilized technologies like Snowflake, dbt, or AWS, and how these experiences can benefit the company.
✨Understand the Company's Values
Familiarize yourself with M2's commitment to diversity and open communication. During the interview, express your alignment with these values and provide examples of how you've contributed to an inclusive work environment in your previous roles.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in data-driven projects. Practice articulating your thought process when analyzing business requirements, developing architectures, and implementing solutions, as this will showcase your strategic thinking.
