Data Engineer

Job description

About Us

Dyson is a global technology enterprise. We’re growing fast and our ambition is huge – more categories, more locations and more people. Dyson launched in the US in 2002, and since then operations have grown exponentially. Our US headquarters is based in Chicago's Fulton Market neighborhood. We also have employees working in field sales, our service centers, and in our growing number of Dyson Demo Store’s across the country.

Data and analytics excellence at Dyson is delivered by a diverse and collaborative global community, at the heart of that community is a hub team that enables all others: In Dyson’s Data Analytics team, there has been significant investment into cloud technologies and tools; combined with an expansive scope and no shortage of ambition and momentum, Dyson Data Analytics team is recognized throughout the organization to the highest level as critical to all of Dyson's strategic objectives. With a ‘one-team’ approach, the global community is on a mission to: Evolve existing solutions to stay ahead; Embed emerging solutions to capitalize on potential benefits; Deliver conceptualized and future solutions to introduce net-new capability.

About The Role

At Dyson, Data Engineers are Software Engineers specializing in building data intensive applications. In this role, you will be responsible for:

  • Delivering Data Engineering excellence in the end-to-end delivery of complex data engineering projects and programs for Dyson
  • Reviewing technical designs and providing feedback
  • Designing and building end-to-end data solutions for analytics
  • Migrating existing pipelines onto the platform
  • Deployment, testing activities with hands on engineering and automation experience including CI/CD/CD and DataOps mindset
  • Adapting quickly to change in requirements and be willing to work with different technologies if required
  • Developing and maintaining data pipelines in a Backend/Distributed Data Systems team while remaining hands-on is very important
  • Strengthening data quality and reliability
  • Improving data lineage and governance
  • Progressing standards and best practices for the platform and operational excellence
  • Maintaining our documentation culture

About You
  • Adept at writing clean code that can be easily understood by others
  • Able to understand and improve legacy code
  • Identify and build abstractions and tools to solve recurring challenges
  • Apply best practices and ways of working among our global data engineering team
  • Provide constructive feedback through PRs and pairing
  • Seek to close gaps in documentation
  • You feel strongly about data and want to empower the organization with it 
  • You seek technical excellence and is self-driven and motivated
  • You want to build robust, scalable and reliable software and solutions
  • You have experience with SQL and strong programming skills in a modern language (Python/Kotlin/Java/Scala)
  • You are comfortable writing production grade software that solves problems often presented with ambiguity
  • You proactively identify challenges and opportunities; seeking improvement as a team.

At Dyson, how we reward you is linked to our high-performance culture. But it’s about more than salary and bonus. Through a package of financial, lifestyle and health benefits, we support whatever stage of life you’re in and the moments that matter.

Financial Benefits
  • 401K with up to a 4% match
  • Company paid Life Insurance and AD&D
  • Flexible Savings Account (FSA) and Health Savings Account (HSA)

Lifestyle Benefits
  • Competitive Paid Time Off Benefits including Separate Holiday, Sick, and Vacation Time
  • Pre-tax Commuter Benefits (applicable areas only)
  • Generous Child Care Leave Program
  • Wellness Program
  • Employee Assistance Program
  • Generous Dyson Product Discounts

Health Benefits
  • Multi-Level Healthcare Coverage Options
  • Vision & Dental Coverage
  • Company paid Short-Term and Long-Term Disability

Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.

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