Job Description

The Role:

Keyrus is seeking a

Senior Data Engineer & Analytics Lead

to join our Data Delivery team and drive the design, development, and optimisation of scalable cloud-based data solutions. This role goes beyond traditional data engineering -- we are looking for someone who can

own the end-to-end data lifecycle

, from pipeline architecture to

data validation, exploratory analysis, and insight presentation

.


The ideal candidate combines

strong data engineering capabilities

with the ability to

collate, analyse, and interpret data

to generate meaningful business value. A foundational understanding of

data science concepts

is expected, even if not at a fully advanced modelling level.

Location:

Hybrid - Pune, India (3 days onsite)

Target Start:

October 2025

Compensation:

?25,00,000 - ?35,00,000 INR

Responsibilities:

Architect, build, and optimise

cloud-native data pipelines

and

big data ecosystems

using

Azure

and

Snowflake

. Perform

data ingestion, transformation, and enrichment

, ensuring high data quality and reliability across downstream use cases. Conduct

basic exploratory data analysis (EDA)

and generate

insight-ready datasets

to support business stakeholders and analytics teams. Present

data findings and performance insights

clearly to both technical and non-technical stakeholders. Ensure all

Non-Functional Requirements

(security, performance, scalability, DR, compliance) are embedded in design and implementation. Evaluate and prototype

modern data technologies

, leading POCs to drive innovation and continuous improvement. Collaborate with

Data Governance teams

to ensure accurate metadata and lineage tracking (e.g., via Collibra or similar tools). Advocate for

data mesh principles

, reusable data products, and best practices across engineering and business teams. Leverage

DevSecOps and automation tools

(Terraform, GitHub, CI/CD) to streamline deployment and operational excellence.

What we're looking for in our applicants:

1

0+ years

of hands-on experience in

data engineering in enterprise/cloud environments

. Proven experience building

data pipelines on Azure

(Azure Data Factory, Databricks, Synapse, or equivalent). Demonstrated ability in

Snowflake development

, including SQL performance optimisation. Practical exposure to

Python for data workflows

and

basic analytical scripting

(pandas, data inspection, validation scripts). Experience performing

data joins, validation, quality checks, and exploratory insights aggregation

. Strong understanding of

data lake/data warehouse architectures

and modern data platform patterns. Skilled in

DevOps/Infra-as-Code tooling

(Terraform, GitHub, CI/CD pipelines) and automated deployment strategies. Ability to

translate complex technical concepts into clear business-relevant insights

. Experience collaborating with multidisciplinary teams ,including

Data Scientists, Analysts, Governance, and Product

stakeholders.

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.

Keyrus UK Benefits:

Competitive holiday allowance Very comprehensive Private Medical Plan Flexible working patterns Workplace Pension Scheme Sodexo Lifestyle Benefits Discretionary Bonus Scheme Referral Bonus Scheme * Training & Development via KLX (Keyrus Learning Experience)