Job Description

The Role:

Keyrus is seeking a

Senior Data Engineer

to design, build, and optimise cloud-native data platforms in Azure. You will work across modern data architectures, build scalable data solutions, and collaborate with multidisciplinary teams to drive data excellence and platform innovation.

Location:

Hybrid - Pune, India (3 days onsite)

Target Start:

January 2025

Compensation:

?30,00,000 - ?40,00,000 INR

Responsibilities:

Architect, develop, and optimise

cloud-native data pipelines

and

big data ecosystems

using Azure technologies. Design and implement

robust data ingestion, transformation, and enrichment workflows,

ensuring high data quality, reliability, and consistency. Embed all key

Non-Functional Requirements (security, performance, scalability, DR, compliance)

into solution designs. Evaluate and prototype modern data technologies; lead

Proofs of Concept (POCs)

to drive continuous platform improvement. Collaborate with

Data Governance

teams to maintain high-quality metadata, lineage tracking, and compliance (e.g., Collibra). Promote

data mesh principles

, reusable data products, and best engineering practices across teams. Apply automation and DevSecOps practices using

Terraform

,

GitHub

, and

CI/CD pipelines

to streamline deployment and operations. Partner with stakeholders across

Product, Governance, Analytics, and Engineering

to define technical requirements and deliver scalable solutions. Present technical architecture, solution design, and performance findings to technical and non-technical audiences.

What we're looking for in our applicants:

10+ years

of hands-on experience in data engineering within enterprise or cloud-native environments. Proven experience building

production-grade data pipelines

on Azure (Azure Data Factory, Databricks, Synapse, or equivalent). Strong proficiency in

Python

for data engineering, automation, and pipeline development. Deep understanding of

data lake/data warehouse architectures

and modern data platform patterns. Extensive experience with

data migration

, integration of distributed data sources, and handling large-scale datasets. Skilled in

DevOps/CI/CD

, Agile delivery, and automated deployment workflows. Experience collaborating with Data Governance, Cloud Engineering, and Product teams. Previous experience with

Snowflake

is a plus. Excellent communication skills with the ability to articulate complex technical concepts clearly.

Why Keyrus?

Joining Keyrus means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience.


You will be part of a young and ever learning enterprise with an established international network of thought leading professionals driven by bridging the gap between innovation and business. You get the opportunity to meet specialised and professional consultants in a multicultural ecosystem.


Keyrus gives you the opportunity to showcase your talents and potential, to build up experience through working with our clients, with the opportunity to grow depending on your capabilities and affinities, in a great working and dynamic atmosphere.