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Lead Data Engineer


Information Technology
Singapore - St James Power Station Headquarters

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 recognised throughout the organisation 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 capitalise on potential benefits 

  • Deliver conceptualised & future solutions to introduce net-new capability 


The Team 

As the ‘hub’ team delivering the data, technology and community provision enabling Dyson’s global data and analytics capabilities, Dyson Data Analytics team have end-to-end responsibility for data from foundations (DQ, MDM) to management (data platforms, integrations), to value realisation (analytics enablement and delivery). 

Dyson Data and Analytics team is a multi-disciplinary, global team providing round-the-clock development and operations - including product and project management, community enablement, governance, data architecture, data engineering, data science, and analytics expertise. 

Involved with every aspect of Dyson’s global business - from finance to product development, manufacturing to owner experience – the team is seeking to deliver solutions generating impressive and tangible business value. 


The Role 

At Dyson, Data Engineers are Software Engineers specialising in building data intensive applications. 

You will be responsible for: 

  • Providing technical leadership in Big Data space both on On-Prem and Cloud Environments (like GCP, AWS) across Dyson and contributes to open-source Big Data technologies 

  • Writing and tuning complex Data Pipelines, workflows, and data structures 

  • Adapting quickly to change in requirements and be willing to work with different technologies if required 

  • Leading a Backend/Distributed Data Systems team while remaining hands-on is very important 

  • Leading the effort to build, implement and support the data infrastructure 

  • Managing the business intelligence stakeholders, prioritize projects according to business needs, and develops top-quality data products using industry best practices 

  • Managing team of data engineers (both full-time engineers and/or partners) 

  • Owning deliverables for the Data and Analytics team from a delivery perspective 

  • Leading in deployment, testing activities with hands on engineering and automation experience including CI/CD/CD and DataOps mindset 

  • Reviewing technical designs and providing feedback 

  • Designing and building end-to-end data solutions for analytics 

  • Migrating existing pipelines onto the platform 

  • 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 


The ideal candidate will 

  • Write clean code that can be easily understood by others 

  • Be able to understand and improve legacy code 

  • Identify and build abstractions and tools to solve recurring challenge 

  • 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 


Our Tech Stack  

Our modern data stack constantly evolves over time as it strives for best-in-class technical capabilities, scalability and efficiency. We don’t require applicants to have experience with all of these technologies, but are always keen to learn and maximise best use of each and as a whole 

  • Git for source control management 

  • Terragrunt for infrastructure as code 

  • GCP for infrastructure 

  • BigQuery for data warehousing 

  • Apache Beam and Python for ELT (Extract Load Transform) 

  • Airflow for orchestration 

  • dbt (SQL) for data modelling 

  • Datadog for monitoring 

  • Fivetran 


You Should Apply If 

  • You have experience leading or mentoring others 

  • You feel strongly about data and want to empower the organisation 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, and seek to improve the team as a whole 


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.