Auf einen Blick
- Aufgaben: Lead a talented team in shaping our Data Platform and ML strategies.
- Arbeitgeber: Join Blacklane, a leader in chauffeur services, committed to innovation and growth.
- Mitarbeitervorteile: Enjoy fair pay, stock options, wellness support, and complimentary rides.
- Warum dieser Job: Be part of a collaborative culture that values your insights and fosters personal development.
- Gewünschte Qualifikationen: Proven experience as an Engineering Manager with a background in data engineering.
- Andere Informationen: We prioritize equal opportunities and welcome diverse applicants.
Das voraussichtliche Gehalt liegt zwischen 72000 - 84000 € pro Jahr.
Engineering Manager – Data Platform & ML
As an Engineering Manager, you will play a pivotal role in shaping the technical strategy and leading the evolution of our Data Platform and Data Science teams. You will lead a team of talented data engineers and data scientists, fostering their growth while driving innovation and excellence in a data-driven, collaborative environment.
YOUR CHALLENGE:
Technical Strategy and Product Evolution
- Data Platform Vision:
- Oversee the technical vision for the data platform in alignment with our data strategy.
- Lead the design, implementation, and continuous improvement of the Data Warehouse architecture, ensuring scalability, reliability, and efficiency.
- Collaborate with data analytics and data science teams to understand their needs and integrate their feedback into the data platform strategy.
- Advocate for data-driven decision-making throughout the organization and ensure that data platforms and tools support these initiatives.
- Data Science & ML:
- Spearhead the machine learning efforts in our data domain.
- Mentor and guide our data scientists in building production-grade ML products focused on driving significant business impact.
- Craftsmanship and Delivery:
- Lead initiatives to implement and refine data governance, data quality, and data security practices within the data platform.
- Stay abreast of emerging trends in data engineering, big data technologies, and cloud data solutions to continually enhance the data platform.
- Set and maintain high standards for development practices, code quality, and delivery excellence.
- Lead and mentor a team of Data Engineers and Analytics Engineers fostering a culture of craftsmanship, attention to detail, and continuous improvement.
- People Leadership and Development:
- Build and lead a high-performing team, providing guidance, mentorship, and professional development opportunities.
- Set clear goals and expectations for team members, fostering a collaborative and supportive environment.
- Conduct regular performance reviews, providing constructive feedback, recognizing achievements, and identifying opportunities for growth.
- Champion a culture of continuous learning and personal development, encouraging knowledge-sharing and fostering innovation within the team.
Delivery and Operational Excellence
- Guide the team in setting and achieving clear goals, ensuring high-quality feature development and system reliability.
- Implement efficient workflows and agile methodologies, fostering a culture of continuous improvement.
- Make decisive and informed decisions, balancing quality, timelines, and business requirements.
Leadership and Team Development
- Build, mentor, and inspire a high-performing engineering team, guiding them to solve problems proactively and collaboratively.
- Encourage professional growth, providing constructive feedback and development opportunities for team members.
- Address challenges within the team confidently, including handling difficult situations and making tough decisions when necessary.
- Foster a collaborative and communicative team culture, ensuring alignment across functions and proactive problem-solving.
ABOUT YOU:
- Proven experience as an Engineering Manager, ideally with previous hands-on software engineering experience and a background as a data engineer.
- Experience managing and growing teams in fast-paced, dynamic environments.
- Deep understanding of auction systems, marketplaces, or ride-hailing platforms, with a focus on driving tailored and attractive offers.
- Strong communication and collaboration skills, ensuring alignment across cross-functional teams and active engagement in decision-making.
- Decisive and confident in handling complex situations.
- Passionate about fostering team growth, with a proven track record of mentoring and supporting individual development.
Why join us in a Blacklane on the fast lane?
- Fair Pay & Shared Success: We provide good salaries and automatically enroll all employees in our Virtual Stock Options Plan (VSOP). Your shares vest over four years, with full transparency on their value growth through Ledgy.
- Blacklane Mystery Rides: As a valued contributor to our success and growth, we are pleased to offer you one complimentary ride per quarter to experience and evaluate our chauffeur services firsthand.
- Learning & Development at Blacklane: We value the person beyond the CV, which is why we are committed to your continuous growth—not just for the company\’s success, but for your own professional development.
- Your Health, No Compromise: We prioritize both your mental and physical well-being because a healthy team creates a thriving culture.
- Social responsibility: Learn more about Miracle flights and the meaningful impact behind our commitment to making a difference.
- Share your ideas with Blacklane\’s C-Level: Our approachable C-Level team values your insights.
We place great value on equal opportunities. Therefore, we welcome everyone to apply.
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Engineering Manager - Data Platform & ML (f/m/d) Arbeitgeber: BLACKLANE

Kontaktperson:
BLACKLANE HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Engineering Manager - Data Platform & ML (f/m/d)
✨Tip Number 1
Familiarize yourself with the latest trends in data engineering and machine learning. This will not only help you understand the technical requirements of the role but also demonstrate your commitment to staying current in a rapidly evolving field.
✨Tip Number 2
Showcase your leadership experience by preparing examples of how you've successfully managed teams in dynamic environments. Highlight specific instances where you've fostered team growth and innovation, as this aligns closely with our values.
✨Tip Number 3
Engage with our company culture by researching Blacklane's values and initiatives. Be ready to discuss how your personal values align with ours, especially regarding continuous learning and social responsibility.
✨Tip Number 4
Prepare to discuss your experience with data governance and quality practices. We value candidates who can articulate their approach to ensuring data reliability and security, which is crucial for the success of our data platform.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Engineering Manager - Data Platform & ML (f/m/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and expectations of the Engineering Manager position. Tailor your application to highlight your relevant experience in leading data engineering and machine learning teams.
Highlight Leadership Experience: Emphasize your proven experience in managing and growing teams, particularly in fast-paced environments. Provide specific examples of how you've mentored team members and fostered a culture of continuous improvement.
Showcase Technical Expertise: Detail your hands-on software engineering experience and your understanding of data platforms, data governance, and machine learning. Mention any relevant technologies or methodologies you are familiar with that align with the company's needs.
Communicate Your Vision: In your cover letter or personal statement, articulate your vision for the data platform and how you would advocate for data-driven decision-making within the organization. This will demonstrate your strategic thinking and alignment with the company's goals.
Wie du dich auf ein Vorstellungsgespräch bei BLACKLANE vorbereitest
✨Understand the Technical Vision
Make sure you have a clear understanding of the technical strategy for the data platform. Be prepared to discuss how your experience aligns with overseeing the design and implementation of scalable and efficient data architectures.
✨Showcase Your Leadership Skills
Highlight your experience in building and mentoring high-performing teams. Be ready to share specific examples of how you've fostered a collaborative environment and supported team members' professional growth.
✨Demonstrate Your Data-Driven Mindset
Prepare to discuss how you've advocated for data-driven decision-making in previous roles. Share instances where you've integrated feedback from data analytics and data science teams into strategic initiatives.
✨Stay Current with Industry Trends
Familiarize yourself with emerging trends in data engineering, big data technologies, and cloud solutions. Be ready to discuss how you can leverage these trends to enhance the data platform and drive innovation.