Role : Data Engineer
Job Mode : Remote
Experience : 5+ Years
Notice Period : Immediate / 10 to 15 Days
Role Overview
We are seeking an experienced Data Engineer to join our team and lead the delivery of high-quality data solutions for the Mobility & Convenience domain. The ideal candidate will combine strong technical skills with leadership experience, ensuring that agile squads deliver scalable, reliable, and value-driven data products aligned with business goals.
Key Responsibilities
- Scope and prioritize business use cases and data requirements for the Mobility & Convenience business unit.
- Lead and manage cross-functional agile squads consisting of data engineers, analysts, data scientists, and data managers to deliver high-quality data products on time and within budget.
- Drive a collaborative and inclusive team environment , fostering strong engagement with product owners, product managers, and other stakeholders.
- Collaborate with multiple business entities to understand use cases , value cases , and data needs .
- Provide technical guidance , manage dependencies, and mitigate risks for the data delivery teams.
- Conduct and lead daily data ingestion status calls , ensuring clarity on new data requirements and managing stakeholder expectations.
- Scope, review, and deliver low-level data requirements , ensuring alignment with business and technical objectives.
- Ensure use cases, acceptance criteria, KPIs , and definition of done are clearly defined and in line with the Mobility & Convenience data strategy.
- Oversee delivery tracking , progress reporting , and KPI management .
- Perform hands-on data analysis, modeling, and data management to ensure data quality and consistency.
- Ensure end-to-end data integration , seamless data flow , and efficient system maintenance .
- Validate that data models are fit-for-purpose and data standards are followed across the lifecycle.
- Identify opportunities to collaborate with internal and external partners for data innovation.
- Manage and build strong stakeholder relationships to align expectations and drive business outcomes.
Qualifications & Skills
5+ years of experience leading or delivering data-driven solutions in agile environments.Hands-on experience in data engineering and data analytics , including data visualization.Strong leadership, communication, and stakeholder management skills.Customer-centric and value-focused mindset with a balance of execution speed and attention to detail.Excellent understanding of data management , data governance , and data lifecycle processes .Deep knowledge of data modeling , data standards , and data processes .Proven experience in delivering data products on cloud platforms such as Databricks , Azure , or AWS .Strong technical skills in SQL and Python for data transformation and manipulation.Experience or certification in Agile or Scrum methodologies preferred.Strong business acumen and ability to translate technical work into business value.