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- Aufgaben: Lead a cross-functional team to enhance our data and AI platform for personalized language learning.
- Arbeitgeber: Join Babbel, a leader in language learning, committed to innovation and diversity.
- Mitarbeitervorteile: Enjoy 30 vacation days, flexible work options, and free access to Babbel classes.
- Warum dieser Job: Make a real impact in tech while fostering a diverse and inclusive culture.
- Gewünschte Qualifikationen: 5+ years in software development, 2+ years leading teams, proficiency in Python and AWS.
- Andere Informationen: We encourage applicants from all backgrounds, especially those underrepresented in tech.
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: Babbel.com - Lesson Nine GmbH
Kontaktperson:
Babbel.com - Lesson Nine GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Engineering Manager - Data & AI Platform (all genders)
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as AWS, CI/CD, and Python. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Highlight your leadership experience in cross-functional teams. Be prepared to discuss specific examples of how you've successfully managed teams in a data-driven environment and the impact of your leadership on project outcomes.
✨Tip Number 3
Showcase your understanding of data governance and compliance best practices. This is crucial for the role, so be ready to discuss how you've implemented these practices in previous projects.
✨Tip Number 4
Engage with the Babbel community before applying. Follow them on social media, participate in relevant discussions, and connect with current employees on platforms like LinkedIn to gain insights into the company culture and values.
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: Take the time to thoroughly read the job description for the Engineering Manager position. Understand the key responsibilities and required skills, especially those related to data and AI platforms.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 5+ years of experience in software development and your leadership experience in cross-functional teams. Be specific about your achievements in data-driven environments.
Showcase Technical Skills: Make sure to mention your proficiency in Python and any other programming languages you know. Highlight your experience with AWS, CI/CD, test automation, and any relevant big data technologies like Apache Spark or DataBricks.
Personalize Your Application: Include a brief section in your cover letter about why you want to work at Babbel specifically. Mention their commitment to diversity and inclusion, and how you align with their values.
Wie du dich auf ein Vorstellungsgespräch bei Babbel.com - Lesson Nine GmbH vorbereitest
✨Showcase Your Leadership Experience
Be prepared to discuss your experience in leading cross-functional teams. Highlight specific examples where you successfully managed team dynamics and drove projects to completion, especially in a data-driven environment.
✨Demonstrate Technical Proficiency
Make sure to articulate your technical skills clearly, particularly in AWS, CI/CD, and Python. Be ready to explain how you've applied these skills in previous roles, especially in developing platform products or data-heavy applications.
✨Emphasize a Data-Driven Mindset
Discuss how you foster a data mindset within your teams. Share examples of how you've implemented data governance best practices and how this has positively impacted 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 agile environments.
