Babbel — вакансии

  • Product / Startup, Education
  • 1001-5000
  • 2007
  • Berlin, New York
  • Education / EdTech, Mobile, SaaS

Актуальные вакансии компании

Опыт от 5 лет Senior Full-time Не имеет значения Есть тестовое задание Office Berlin
11.12.20241
Подробнее
  • AWS
  • CI/CD
  • Agile
  • Python
  • ML
  • AI
  • Apache Spark
  • DataBricks
  • Terraform
  • AWS CloudFormation

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
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Опыт не имеет значения Senior Full-time Не имеет значения Есть тестовое задание Office Berlin
11.12.20243
Подробнее
  • GDPR
  • CCPA

As a Senior Data Manager within our Central Data team, you will play a key role in developing and implementing effective data management and governance to increase data quality. You will work closely with business data owners and users, domain product owners, data producers, data consumers, legal, infosec and senior leadership to define the data ecosystem, data governance policies, procedures, and best practices that ensure the discoverability, compliance, quality and interoperability of our data products.

You will:

  • Create and enforce standards and best practices across domains, promoting data awareness for effective data management and fostering a culture of data-driven decision-making
  • Run the change management process to ensure successful adoption of data governance and our new data catalog
  • Formulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data
  • Developing and implementing data processes and practices, including data lineage tracking, data quality management, metadata management, data issue resolution etc.
  • Establish rules and procedures for data sharing
  • Collaborating with domain data product owners, data engineers and relevant stakeholders to assess data governance needs, introduce necessary standards and data quality controls, and ensure compliance
  • Establishing metrics, monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them
  • Establish metrics and monitor adoption and adherence to data operations policies and procedures
  • Collaborating with Platform teams to ensure data governance principles are integrated into data systems, applications, and infrastructure

You have:

  • Proven experience as a data manager or relevant area
  • Past success with defining and leading company wide governance initiatives
  • Past success in implementing and rolling out a data catalog org wide
  • Experience crafting communication and engagement strategies for securing buy-in with operational and executive leadership levels
  • Strong change management and program management experience
  • Excellence understanding of data management, quality and data governance functions
  • Strong knowledge, understanding and implementation proficiency of data governance principles, concepts, policies, procedures, guidelines and in data governance tools and technologies
  • Experience working with a Data Mesh architecture or similar decentralized data governance models is a plus
  • Familiarity with data privacy, security, and data protection regulations (e.g., GDPR, CCPA) and their implications on data governance
  • A self-starting and ownership mentality with the technical ability to proactively onboard yourself using documentation and training resources to new data tools (e.g. data catalogs, observability tools, data platforms)
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders at all levels
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Преимущества для сотрудников Babbel

  • English Courses
  • Work-life balance
  • Гнучкий графік роботи
  • Кімната відпочинку
  • Кава, фрукти, перекуси
  • Компенсація навчання
  • Освітні програми, курси

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