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- Aufgaben: Lead a cross-functional team to develop data and AI platform solutions.
- Arbeitgeber: Join Babbel, a leader in language learning, based in Berlin.
- Mitarbeitervorteile: Enjoy 30 vacation days, flexible work options, and free Babbel access.
- Warum dieser Job: Make an impact in a diverse, inclusive environment while driving innovation in education.
- Gewünschte Qualifikationen: 5+ years in software development; leadership experience in data-driven teams required.
- Andere Informationen: We encourage applications from underrepresented groups and welcome all candidates.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
We are looking for an Engineering Manager – Data & AI Platform to start immediately as part of our Data & AI Foundations cluster in Berlin.
Our data and machine learning platform team is responsible for enabling and supporting data and machine learning operations shaping the decisions that guide and augment our learner’s language learning journey with Babbel. Successful candidates will grow and lead the team to explore opportunities and deliver solutions at speed as well as manage expectations and build trust with stakeholders.
You will
- Lead a cross functional team of engineers to develop and support operations on our data and machine learning platform capabilities powering engaging personalisation features, as well as customer and internally facing analytics products
- Create business impact by leading through technological excellence and strategic architectural vision
- Drive a data mindset in engineering to become a reliable and responsive subject matter expert
You have
- Computer science, related engineering degree, or equivalent practical experience and 5+ years of experience in software development of platform products and data heavy applications on AWS
- 2+ years of experience in leading and managing cross-functional teams in a data-driven environment
- Proficiency in CI/CD, test automation and information security best practices
- Proficiency in agile methodologies and proven ability to adapting processes to suit business needs and team dynamics
- Experience with data pipeline architectures and big data technologies
- Knowledge of DevOps and MLOps architectures and principles
- Exposure to development, deployment and monitoring lifecycles of an ML or AI product
- Good understanding of data governance best practices and compliance
- Proficiency in Python and familiarity with at least one other programming language
Nice to have:
- Experience with Apache Spark and DataBricks
- Experience in designing and implementing infrastructure as code (IaC) using tools such as Terraform, CloudFormation, or similar
Some perks of becoming a Babbelonian:
- Enjoy 30 vacation days and the chance to take a 3-month Sabbatical. Plus family and life situation counseling.
- Decide how, when and from where you want to work with our flexible working hours and remote friendly options as Jobbatical (up to 3 months inside the EU) or work from our fully equipped office with nap, faith and family rooms.
- Learn and grow with the internal learning opportunities, and use a yearly learning & development budget for external training. Learn languages with Babbel for free with your full access to Babbel & Babbel Live classes.
- Take advantage of your mobility benefits options and a discounted Urban Sports Club membership.
- Be part of our employee communities (such as Femgineers, DE&I Ambassadors and LGBTQIA groups), attend cultural and regular social events.
Diversity at Babbel
As part of our ongoing journey towards building a diverse, equitable and inclusive company, we welcome everyone to apply, especially those individuals who are underrepresented in tech. We are a learning company, inside and out, and we encourage you to apply even if you do not fit all the technical requirements – all candidates are assessed based on skills, qualifications and on our business needs. Please state your pronouns in your application, and let us know if you’d like to be addressed by a name other than the one appearing on your official documents. If you have a disability or special need, feel welcome to inform us, so that we can provide you with the proper assistance in the application process.
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Engineering Manager - Data & AI Platform (all genders) Arbeitgeber: Bosch Group
Kontaktperson:
Bosch Group HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Engineering Manager - Data & AI Platform (all genders)
✨Tip Number 1
Familiarize yourself with the latest trends in data and AI technologies. Being well-versed in tools like Apache Spark and DataBricks can set you apart, especially since these are nice-to-have skills for this role.
✨Tip Number 2
Highlight your experience in leading cross-functional teams. Be prepared to discuss specific examples of how you've managed team dynamics and driven a data mindset in previous roles.
✨Tip Number 3
Showcase your understanding of CI/CD and agile methodologies. Be ready to explain how you've adapted processes to meet business needs and improve team efficiency in past projects.
✨Tip Number 4
Prepare to discuss your experience with data governance and compliance. This is crucial for the role, so having concrete examples of how you've implemented best practices will be beneficial.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Engineering Manager - Data & AI Platform (all genders)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Engineering Manager position. Highlight key responsibilities and required skills, and think about how your experience aligns with these.
Tailor Your CV: Customize your CV to emphasize your relevant experience in software development, team leadership, and data-heavy applications. Use specific examples that demonstrate your proficiency in AWS, CI/CD, and agile methodologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and AI, your leadership style, and how you can contribute to Babbel's mission. Mention any experience with big data technologies or MLOps that sets you apart.
Highlight Your Soft Skills: In your application, don't forget to mention your ability to manage expectations and build trust with stakeholders. Provide examples of how you've successfully led cross-functional teams in the past.
Wie du dich auf ein Vorstellungsgespräch bei Bosch Group vorbereitest
✨Showcase Your Leadership Experience
As an Engineering Manager, you'll need to demonstrate your ability to lead cross-functional teams. Prepare examples of how you've successfully managed teams in a data-driven environment, focusing on your leadership style and the impact you've made.
✨Highlight Technical Proficiency
Make sure to discuss your experience with AWS, CI/CD, and data pipeline architectures. Be ready to explain how you've applied these technologies in past projects, especially in relation to machine learning and data-heavy applications.
✨Emphasize a Data-Driven Mindset
The role requires driving a data mindset within engineering. Share specific instances where you've fostered a culture of data-driven decision-making and how it benefited your team or project outcomes.
✨Prepare for Behavioral Questions
Expect questions that assess your adaptability and problem-solving skills. Use the STAR method (Situation, Task, Action, Result) to structure your responses, particularly when discussing challenges faced in previous roles.
