Data Engineer
Hybrid Mumbai Full-time Mid-level Data Engineering
At a glance
Mid-level Data Engineering role at adm-Indicia. Mumbai · full-time.
Pay not stated Data Engineer salary
RoleData Engineering
SeniorityMid-level
LocationMumbai
WorkplaceHybrid
EmploymentFull-time
PostedOct 5, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Turn stakeholder needs into technical designs, then document the choices for teams that will build and support them
- Build and maintain ELT or ETL flows, data models and connections to downstream systems
- Share responsibility for implementing data solutions and provide ongoing support after delivery
- Work with data engineering and architecture colleagues on the data platform and its roadmap
- Estimate work and deliver it to agreed timelines in a commercial setting
What you bring
- At least two years delivering data solutions in a commercial environment
- Hands-on work with a cloud platform, plus experience processing data through ETL or ELT methods
- Experience with a cloud data warehouse or platform such as Snowflake, Databricks or another listed solution
- Good command of SQL, including both DML and DDL, and experience producing technical documentation across delivery
- You communicate clearly in written and spoken English with technical and non-technical colleagues
Who this fits
This mid-level role suits someone who can take data work from requirements and design through implementation and support. You’ll work in a hybrid setup based in Mumbai.
From the employer
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.
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.
- 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.
- 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.
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