Lead Data Engineer – Customer Technology

Mumbai, India
Job Type


Job Purpose

Individual who is a proactive, enthusiastic Data Engineer to integrate into our growing team, working across a diverse mix of clients and technologies, identifies key insights and takeaways that guide decision making and inspire action based on understanding of the business and the data

Relationship Building with Stakeholders

Day-to-day role will be collaborating with other highly skilled data engineers in supporting and developing new and existing large-scale enterprise datacentric on premise and cloud solutions.

Single project – team delivery contribution: Assists / manage work aspects of Engineers and Senior Engineers within the team

Would be assisting with the development of new functionality according to a commercial brief, building new data solutions and updating existing ones depending on the requirements, may also be required to perform peer-reviews to ensure code adheres to best practice, is fit for purpose and scalable, and documenting technical processes in a clear and highly detailed fashion.

As a member of the Data Engineering team, you will be supporting the Advisor, Marketing and Customer Management teams in responding to client and internal work requests/queries, setting expectations, and ensuring process is adhered to.

Individual would receive training and mentoring, where required, to enable you to fulfil the requirements of the role as outlined above.

Duties & Responsibilities

  • Can create an effective story with data, maintaining objectivity in their analysis
  • Can lead a project development with little support
  • Understands which questions are most important to answer before beginning an analysis project (MOSCOW)
  • Taking the lead and coordinate more complex deliverables
  • Keeps an audit trail; ensures work is easy to review and can always be replicated
  • Has a strong understanding of the amount of time required to produce certain deliverables and can set appropriate expectations
  • Writes tests and creates proactive alerts to prevent or accelerate awareness of future potential inaccuracies
  • Leads functional team training on how to interpret and explore data
  • Supports training of new Analytics team members in SQL / Azure / Python and Visualisation tools such as Power BI
  • Leads functional team training on how to interpret and explore data
  • Proactively looks for ways to share their knowledge
  • Follows style guides and best practices
  • Develop and apply growing technical skills in developing and supporting new and existing data solutions across a wide range of Epics.
  • Assist in the development of database solutions utilising technologies including SQL Server, SSIS, Python, Azure Data Factory and Power BI.
  • Assists in execution of projects to improve the team’s analytics capabilities
  • Proactively identifies how to improve Analytics team operations and increase productivity (tools, processes, etc
  • Generally, solves problems independently, but seeks help from team when needed
  • Can identify potential data inaccuracies and will manage any requests required to fix an error
  • Work with other data engineers to construct data transformations
  • Document technical solution designs based on client and business analyst led requirements.
  • Partake in scoping, planning and requirements analysis, through to discovery, design, development, testing and deployment of each story.
  • Ensure development requirements align with our standards and policies, and with industry best practices.
  • Stay abreast of industry technology innovations, new business practices, and third-party technology solutions.

General Responsibilities

  • Adherence to organisations Risk & Controls requirements
  • Participate in various initiatives/forums/groups and contribute effectively from idea creation to prototype development. Support Strategic programs


  • Graduate/Post-graduate. Preferably with specialisation in Computer Science, Statistics, Mathematics, Data Science, Engineering or related discipline
  • Microsoft Azure data engineer certification (good to have)


  • Overall 6+ years of experience in data engineering

Required Competence / Knowledge / Skills (Mandatory)

  • Advanced knowledge of Analytics and visualization tool used (SQL /Azure /Python and other visualization tools such as Power BI)
  • Holds analytics teammates to high quality standards with QA support and feedback to ensure ways of working are adhered to
  • Deep understanding and commitment of AGILE and its application to analytics work
  • Approaches work with a positive attitude and curiosity
  • Demonstrates ability to learn quickly & work efficiently
  • Communicates needs and timelines clearly
  • Independently hosting session
  • Ability to communicate analysis and clearly articulate business value to wide range of more senior stakeholders

Good to have Competence / Knowledge / Skills (Desired)

  • Knowledge or experience working in data related Finance / Banking Industry would be an added advantage
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