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 2026

Compensation:

?30,00,000 - ?42,00,000 INR

Responsibilities:

Data Engineering

Design, build, and optimise

cloud-native ingestion, transformation, and enrichment pipelines

using Azure (ADF, Databricks, Synapse). Implement

data joins, validation frameworks, profiling, and quality checks

to ensure analytics-ready datasets. Engineer

scalable feature pipelines

and reusable data products for advanced analytics and ML workloads. Maintain data quality, lineage, and metadata in collaboration with Data Governance teams. Contribute to automated deployment workflows using

DevOps/CI/CD

, GitHub Actions, Terraform, and related tools.

Data Science

Perform

end-to-end Exploratory Data Analysis (EDA)

to identify trends, anomalies, and insights. Build, validate, and deploy

machine learning models

(supervised and unsupervised). Develop

feature engineering logic

, model training pipelines, and performance monitoring processes. Work with business and technical stakeholders to define analytical problems and deliver data-driven solutions. Communicate analytical insights and model outcomes to technical and non-technical audiences.

Analytics & Visualisation

Build dashboards and analytical visuals using

Power BI, Tableau

, or similar tools. Present data findings and insights in a clear, accessible narrative.

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.