Analytics Engineer

collinsongroup; Mumbai; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Collinson Group seeks a senior Data Engineer in Mumbai to lead end-to-end data platform transformations. You will architect data pipelines, data warehouses, and data lakes, enabling scalable analytics and insight generation for diverse business needs.

You will collaborate with stakeholders to define data requirements and drive data-driven initiatives in a fast-paced environment. You will champion automation and modern data architectures (data mesh/lakehouse) while mentoring a small team of data

Qualifications

• Extensive experience leading AWS and cloud data platform transformations.
• Proven track record delivering large-scale data solutions in cloud environments.
• Hands-on end-to-end data pipeline implementation using AWS services.
• Expertise in data warehouses, data lakes, lakehouse, and data mesh architectures.
• Strong knowledge of data modelling and cost-efficient data pipeline management.
• Experience with CI/CD-driven data pipelines and Agile methodologies.
• Ability to scope and deliver within deadlines in agile teams.
• Excellent communication and stakeholder influence across technical and business groups.

Responsibilities

• Lead the design of data solutions prioritising automation, performance, and fast reporting.
• Develop and deploy data models to meet business requirements and analytics needs.
• Collaborate with cross-functional teams to gather data requirements and drive data-driven initiatives.
• Ensure data availability and governance for analytics consumption and monitor quality.
• Mentor and lead a small team of data engineers and promote data-driven culture.
• Stay updated with industry trends and adopt modern data solution approaches.

Skills

AWS

Cloud data platform

Data pipelines

Data warehousing

Data lakes

Data mesh

Data modelling

Agile/Scrum/Kanban

Leadership

Data governance

Tools

CI/CD

Python

SQL

ETL

Job description

Britney Dias Key Responsibilities-

• Design, develop, and maintain low-code enabled data pipelines for collecting, transforming, and loading data into various data stores and build insightful reports .
• Build and maintain data warehousing and data lake solutions that support quick and efficient reporting and insights
• Develop and deploy data models that cater to various business requirements and enable efficient data analysis
• Lead the design of data solutions with a focus on automation, performance, and quick report generation
• Ensure data is readily available for business and analytics consumption and monitor the quality of the data
• Collaborate with cross-functional teams and stakeholders to understand data requirements and drive data-driven initiatives
• Prototype and adopt new approaches to drive innovation into the solutions and ensure they are aligned with industry trends and advancements
• Develop and implement the data roadmap for strategic data sets and communicate progress to both technical and non-technical stakeholders
• Communicate complex data solutions in a clear and understandable manner to both experts and non-experts
• Interact with stakeholders and clients to understand their data requirements and provide low-code enabled solutions
• Stay up-to-date with industry trends and technology advancements in data engineering and analytics
• Champion the importance of modern data solutions across the business and promote the value of obtaining good quality data.

Knowledge, S kills, and experience required

• Extensive experience leading AWS and cloud data platform transformations
• Proven track record of delivering large-scale data and analytical solutions in a cloud environment
• Hands‑on experience in end-to-end data pipeline implementation using AWS services, including data preparation, extraction, transformation & loading, normalization, aggregation, warehousing, data lakes, and data governance
• Expertise in developing data warehouses and in‑depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh
• Strong knowledge of data architecture and data modelling practices, with the ability to cost‑effectively manage data pipelines
• Familiarity with CI/CD‑driven data pipeline and infrastructure, with an Agile delivery approach using Scrum and Kanban methodologies
• Ability to scope, estimate, and deliver committed work within deadlines, both independently and as part of an Agile team
• Support for QA and user acceptance testing processes, with innovative problem‑solving skills and the ability to provide clear recommendations
• Understanding of the impact of changes to business rules on data processes
• Excellent communication and influencing skills, especially in regard to data solutions and outcomes
• Experience managing and leading a small team of data engineers
• Self‑driven and constantly seeking opportunities to improve data processes
• Strong knowledge of how data drives analytical and reporting activities, including automated marketing and personalization capabilities

Person Specification

• Self‑motivator with a desire to learn new skills and embrace new technologies in a constantly changing technology landscape
• Ability to thrive in a fast moving environment
• Ability to show initiative, innovation and work independently when required
• Ability to work at pace and tackle project challenges in a collegiate, collaborative way
• Goal and outcome orientated
• Thoroughness and attention to detail
• Good communication skills (ability to present, inform and guide others)
• Ability to bridge communications between technical and business focussed groups
• Comfortable working with people at all levels in an organisation

About us: Our story

Collinson Group is a global leader in driving loyalty and engagement for many of the world's largest companies. Predominantly through the provision of travel related benefits within a market leading digital travel ecosystem. The group offers a unique blend of industry and sector specialists who together provide market‑leading experience in delivering products and services across four core capabilities: Loyalty, Lifestyle Benefits and Insurance.

The group provides unrivalled insight and expertise around affluent consumers and frequent travellers, creating and delivering products and services now accessible to over 400m end consumers.

We have more than 25 years' experience, with 28 global locations, servicing over 800 clients in 170 countries, employing 1,800 people.

We have been bringing innovation to the market since inception - from launching the first independent global VIP lounge access Programme, Priority Pass to being the first to sell direct travel insurance in the UK through Columbus Direct and creating the first loyalty agency of its kind in the travel sector with ICLP. Today we still invest heavily in innovation to ensure that we continue to deliver superior customer experiences.

Key clients include: Visa