Lead Data Engineer
Dyson is hiring a Lead Data Engineer. Level rates it ; you can apply on Dyson.
Level's read on this job
- On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Python, SQL and dbt.
- Level classifies it as a lead role.
- Level lists 475 other open roles at Dyson.
- The role was posted within the past two weeks.
AI in this role
Design, build, and optimize robust data pipelines and analytics solutions as a Lead Data Engineer at Dyson.
As a Lead Data Engineer at Dyson, you will provide hands-on technical expertise in the Data domain, working with a diverse set of Data technologies. You will show adaptability to changing requirements and technologies, supporting the team in staying current with new developments. This role involves collaborating with business stakeholders, helping prioritize projects, and contributing to the development of reliable data products that follow industry best practices.
You will work as part of a team of data engineers—including internal staff and external partners—contributing to the delivery of solutions for the Data and Analytics group. Your main responsibilities include designing and building robust data solutions for analytics, participating in technical design reviews, and sharing constructive feedback. You will help establish good practices and efficient workflows within a global data engineering environment, while supporting a culture that values clear documentation. Additionally, you will assist in enhancing data quality and reliability and support improvements in data lineage and governance.
Key Competencies
5+ years of relevant experience in data engineering or related fields
Experience working in and supporting data engineering teams
Ability to contribute to data engineering projects through different stages of delivery
Skilled in designing and optimizing data pipelines and data solutions
Proficiency in one or more programming languages (e.g., Python, SQL, DBT)
Experience with at least one major cloud platform (AWS, GCP, or Azure)
Familiarity with CI/CD and DataOps practices
Strategic Leadership and Influence
As a Senior Data Engineer at Dyson, you will play a pivotal role in steering data engineering initiatives and influencing the direction of data-driven projects. You will collaborate closely with business stakeholders to prioritise projects, ensuring alignment with organisational objectives. By fostering a culture of clear documentation, good practices and efficient workflows, you support the team’s continuous improvement and adaptation to evolving technologies. Your leadership will help maintain high standards for data quality, reliability, and governance within a global environment.
Technical Proficiencies
You bring over five years of experience in data engineering or related fields, with a proven ability to contribute across all stages of project delivery. You are skilled in designing and optimising data pipelines and analytics solutions, and have hands-on expertise in programming languages such as Python, SQL, and DBT. Your experience spans at least one major cloud platform, including AWS, GCP, or Azure, and you are familiar with CI/CD and DataOps practices. You actively participate in technical design reviews, offering constructive feedback to drive robust and reliable data solutions.
Academic Credentials
You hold a Bachelor’s, Master’s, or PhD in Computer Science, Information Technology, Engineering, or a related discipline, providing a strong academic foundation for your expertise in the data domain.
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.
How we rate this
Lead Data Engineer at Dyson rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where ci/cd was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Engineering, ETL, Data Pipelines, Data Governance, and CI/CD. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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