Lead Data Engineer

Dyson; Bengaluru; On-site; INR 2,000,000 - 3,200,000; Full time

Job summary

Dyson is seeking a Lead Data Engineer in Bengaluru to provide hands-on expertise across the data domain, shaping reliable data products and scalable pipelines. You’ll collaborate with stakeholders and partners to prioritize initiatives and drive data governance and quality in a global environment.

The role blends strategic leadership with hands-on delivery, requiring 5+ years in data engineering, strong Python/SQL/DBT skills, and experience with AWS, GCP or Azure.

Qualifications

• 5+ years of experience in data engineering or related fields.
• Experience in data engineering teams.
• Ability to contribute to data engineering projects through different delivery stages.
• Skilled in designing and optimising data pipelines and data solutions.
• Proficiency in Python, SQL, DBT.
• Experience with at least one major cloud platform (AWS, GCP, or Azure).
• Familiarity with CI/CD and DataOps practices.

Responsibilities

• Designing and building robust data solutions for analytics.
• Participating in technical design reviews.
• Sharing constructive feedback.
• Help establish good practices and efficient workflows within a global data engineering environment.
• Assist in enhancing data quality, reliability, and governance.

Skills

Python

SQL

DBT

Data Pipelines

Cloud Platforms

CI/CD

DataOps

Job description

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.

• 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 optimising 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.

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.