Engineering Manager - Data Platform & ML

Posted 3 Days Ago
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Barcelona, Cataluña
Senior level
Travel
The Role
The Engineering Manager will lead the Data Platform and Data Science teams, overseeing the technical strategy and product evolution while mentoring data engineers and scientists. They'll focus on delivering high-quality data solutions, enhancing data governance, and fostering a collaborative team environment to drive innovation.
Summary Generated by Built In

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.

Top Skills

Data Engineering
Data Science
Machine Learning
The Company
HQ: Berlin
2,011 Employees
On-site Workplace
Year Founded: 2011

What We Do

Our global chauffeur service brings peace of mind to business travelers moving through a fast-paced world.

Our crew’s dedication to safety, reliability, and smart technology places us at the forefront of a new era of stress-free business travel. Since 2017, the company has been carbon offsetting every ride, combining a high-end guest experience with care for the planet.

Enjoy a private and convenient five-star service for all of your airport transfers, City to City, and in-city rides. Upgrade your travels on Blacklane’s mobile app or website

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