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Data Engineer

Mumbai, 000

Pay
Pay not listed
Work setting
Hybrid — work setting source
As a Data Engineer, you are responsible for end-to-end delivery of automated data processing solutions, from inception to delivery and ongoing support. This role is hybrid, based in Mumbai. Responsibilities
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Employment
Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: full_time
From the employer’s posting
Apply at adm Group

What you’ll work on

Full posting
  • Turn stakeholder requirements into technical designs

  • Write clear design documentation for technical teams

  • Support design and development of ELT/ETL pipelines and data models

  • Estimate and deliver work to agreed timescales in a fast-paced environment

  • Contribute to the company's data platform roadmap with architecture colleagues

From the employer’s posting
Gathering and interpreting requirements from stakeholders and translating these to technical designs.
Creation of clear and comprehensive design documentation, detailing solutions for technical audiences across multiple teams.
Supporting the design and development of scalable, robust, secure data solutions, including ELT/ETL pipelines, data modelling, and point integrations with downstream systems.
Reliable estimation and delivery of work in a fast-paced, commercial environment.
Working with Data Engineering & Architecture colleagues to support our Data Platform and deliver against our platform roadmap.

Tools in this posting

  • Python
  • SQL
  • AWS
  • Azure
  • BigQuery
  • Databricks
  • GCP
  • Snowflake
Source — Tool mentions in context
- Hands-on experience working in a modern cloud platform. AWS preferred, but experience of Azure and/or GCP is also beneficial. - Demonstrable experience of data processing using ETL/ELT approaches and tools (e.g. Matillion, AWS, python). - Data Warehouse/Data Platform experience with a modern cloud data solution such as Snowflake, Databricks, BigQuery, or equivalent.
- Data Warehouse/Data Platform experience with a modern cloud data solution such as Snowflake, Databricks, BigQuery, or equivalent. - Good knowledge of SQL (including DML and DDL). - Proven ability to quickly adapt to new technologies, concepts, and approaches.
- 2+ years experience delivering data solutions in a commercial environment. - Hands-on experience working in a modern cloud platform. AWS preferred, but experience of Azure and/or GCP is also beneficial. - Demonstrable experience of data processing using ETL/ELT approaches and tools (e.g. Matillion, AWS, python).
- Demonstrable experience of data processing using ETL/ELT approaches and tools (e.g. Matillion, AWS, python). - Data Warehouse/Data Platform experience with a modern cloud data solution such as Snowflake, Databricks, BigQuery, or equivalent. - Good knowledge of SQL (including DML and DDL).

Posting record

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Status in our records
Live
First seen by us
Oct 6, 2026 · 24 days ago
Recorded sightings
24
Last seen by us
Oct 30, 2026

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Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
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Job description

View original posting ↗

We're hiring for a Data Engineer to join our Data Engineering team, who are responsible for building and maintaining multiple data solutions for our business and our diverse client base. Experts in creating robust, scalable data pipelines, our team’s foundational work supports our ever-increasing demand for data-driven products and services across the company.

As a Data Engineer, you are responsible for end-to-end delivery of automated data processing solutions, from inception to delivery and ongoing support.

This role is hybrid, based in Mumbai.

Responsibilities

  • Gathering and interpreting requirements from stakeholders and translating these to technical designs.
  • Creation of clear and comprehensive design documentation, detailing solutions for technical audiences across multiple teams.
  • Collaborating with stakeholders and delivery personnel both within the team and across the wider business.
  • Taking accountability and sharing responsibility for implementation of data solutions with the rest of the Data Engineering team.
  • Reliable estimation and delivery of work in a fast-paced, commercial environment.
  • Supporting the design and development of scalable, robust, secure data solutions, including ELT/ETL pipelines, data modelling, and point integrations with downstream systems.
  • Working with Data Engineering & Architecture colleagues to support our Data Platform and deliver against our platform roadmap.
  • Supporting adoption of best practices and continuous improvement to ensure our teams stay abreast of industrial standards.

Skills and Experience

  • 2+ years experience delivering data solutions in a commercial environment.
  • Hands-on experience working in a modern cloud platform. AWS preferred, but experience of Azure and/or GCP is also beneficial.
  • Demonstrable experience of data processing using ETL/ELT approaches and tools (e.g. Matillion, AWS, python).
  • Data Warehouse/Data Platform experience with a modern cloud data solution such as Snowflake, Databricks, BigQuery, or equivalent.
  • Good knowledge of SQL (including DML and DDL).
  • Proven ability to quickly adapt to new technologies, concepts, and approaches.
  • Experience creating technical documentation to a high standard across the full delivery cycle.
  • Ability to break down technical concepts into plain English and communicate these to both technical and non-technical colleagues.
  • Ability to accurately estimate work and deliver to agreed timescales.
  • Confident verbal and written English.

Equal Opportunities

adm-Indicia is proud to be an equal opportunity employer and is committed to creating a diverse environment.  We recruit, employ, develop, compensate, and promote regardless of race, religion, colour, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. Should you need any reasonable adjustments made to this application process, please don't hesitate to let us know.

Employment type

Full Time

Source details

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Location & working pattern

Mumbai, 000

As a Data Engineer, you are responsible for end-to-end delivery of automated data processing solutions, from inception to delivery and ongoing support. This role is hybrid, based in Mumbai. Responsibilities
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