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Engineering Manager - Data Platform

Engineering Manager - Data Platform

CanonicalLondon, GB
30+ days ago
Job type
  • Full-time
  • Remote
Job description

Canonical is building a comprehensive suite of multi-cloud and on-premise data solutions for the enterprise. We want to make it easy to operate any database on any cloud, or on premise. The data platform team covers the full range of data stores and data technologies, spanning from big data, NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines like Postgres and MySQL. We aim to deliver fault-tolerant mission-critical distributed systems, and the world’s best data platform.

We are looking for technical Engineering Managers to lead teams focused on Big Data and MySQL databases. We write code in Python and encode modern operational practices for data applications at scale on Kubernetes and cloud machines.

Location : This role can be filled in European, Middle East, African or any American region / time zone.

What your day will look like

  • You will lead a team building scalable data solutions for Kubernetes and cloud machines
  • You will hire, coach, mentor, provide feedback, and lead your team by example
  • You will demonstrate sound engineering skill by directly contributing code when needed
  • Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders
  • Advocate modern, agile software development practices
  • Develop and evangelize great engineering and organizational practices
  • Ensure that your team delivers excellent products that users love by maintaining a culture of quality and engineering excellence
  • Grow a healthy, collaborative engineering culture aligned with the company’s values.
  • Be an active part of the leadership team and collaborate with other leaders in the organization
  • Work from home with global travel twice yearly, for internal events of one or two weeks duration

What we are looking for in you

  • A software engineering background, preferably with Python and Golang experience
  • Experience running in production and at scale, preferably Big Data or MySQL
  • Excellent judgement about people - their motivations, abilities, developmental needs, and prospects for success
  • Proven ability to build high-quality, open-source software
  • Proven to drive good engineering practices around performance and quality
  • An open-minded attitude to new technologies and the drive to push the boundaries of what is possible
  • The ambition to build products that improve how people operate software and infrastructure everywhere
  • Love developing and growing people and have a track record of doing it
  • Knowledgeable and passionate about software development
  • Additional skills that you might also bring

  • Specialist knowledge in one or more of Spark, Superset, MySQL, or similar
  • Prior experience working with open source and a will to build products with the community
  • What we offer you

    Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

    In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.

  • Fully remote working environment - we’ve been working remotely since !
  • Personal learning and development budget of 2,USD per annum
  • Annual compensation review
  • Recognition rewards
  • Annual holiday leave
  • Parental Leave
  • Employee Assistance Programme
  • Opportunity to travel to new locations to meet colleagues at ‘sprints’
  • Priority Pass for travel and travel upgrades for long haul company events
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    Data Engineering Manager • London, GB

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