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
Read the full posting- Employment
Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: full_time
From the employer’s posting
What you’ll work on
Full postingTurn 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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- Live
- First seen by us
- Oct 6, 2026 · 24 days ago
- Recorded sightings
- 24
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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
Employment type
Full Time
Source details
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- Pay
No pay amount identified in the saved description.
- 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
- Work authorization
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