About EG: At EG, we build software that makes a
difference. Our industry-specific software helps people and
businesses work smarter every day. From doctors spending more time
with patients to builders running safer, more efficient projects.
Our software is built by peers from the industry and backed by EG's
scale for stability, innovation, and security. We are a thriving
global workforce of 3000+ employees, with a 800+ strong team based
in Mangaluru, India. If you are ambitious, curious, and take pride
in ownership, you will thrive here. You will be trusted to grow
your skills, shape meaningful solutions, and make an impact
together with talented colleagues across borders. About the team:
At EG, we develop industry-specific software for both private and
public sector customers across the Nordics and beyond. With deep
roots in Denmark and a growing presence in India, Poland, and the
rest of Europe, we combine Scandinavian engineering culture with
global talent to create software that truly matters. Our India team
— EGDK India Pvt. Ltd. — is a key part of this mission. You will
work alongside skilled colleagues across borders, contributing to
solutions that are business-critical for thousands of customers
every day. Responsibilities: Design, develop, and maintain data
warehouse solutions using Microsoft Stack Write and optimize
complex T-SQL queries, stored procedures, views, and functions
Build and manage ETL/ELT pipelines using SQL Server Integration
Services ( SSIS ) or other relevant tooling Work within SQL Server
Management Studio (SSMS) for day-to-day development and
administration Structure and prepare data with AI and ML
consumption in mind — supporting clean data contracts,
traceability, and the transformation of raw data into well-defined,
model-ready datasets Split your time evenly between new feature
development and ongoing maintenance of existing data warehouse
structures (approx. 50/50) Proactively investigate and resolve data
quality, performance, and reliability issues and incidents across
the warehouse structures environment s Collaborate with




cross-functional teams to gather and translate business
requirements into data warehouse models Monitor and tune database
performance Support reporting and analytics initiatives by ensuring
data quality, consistency, and availability Contribute to
documentation of data models, processes, and technical decisions
Must have Skills and Experience: We are looking for a structured
and technically strong developer who takes ownership of their work
and communicates well across teams. You thrive in a collaborative
environment and are comfortable working with both technical and
non-technical stakeholders. Solid hands-on experience with
Microsoft SQL Server (T-SQL, stored procedures, indexing)
Proficiency in SQL Server Management Studio ( SSMS ) for
development, debugging, and performance analysis Robust
understanding of data warehouse concepts, principles, and
architectural patterns Experience with ETL processes — SQL Server
Integration Services ( SS IS) experience is a strong advantage
Ability to work with REST APIs and JSON data formats Hands-on
experience with Python or PowerShell scripting Solid experience
with Git — including branching strategies, pull requests, code
reviews, and resolving merge conflicts Comfortable working with
Jira for sprint planning, issue tracking, and linking commits and
pull requests to tickets Good communication skills in English —
written and spoken Ability to work independently and as part of a
distributed, international team Nice to have: Experience with
reporting tools such as Power BI or SSRS Familiarity with Azure
Data Factory or other cloud-based data integration tools Knowledge
of data governance and data quality principles Domain knowledge




within Finance, Sales, HR or similar Experience with Microsoft
Fabric — including Lakehouses, Data Pipelines, or Dataflows Gen2
Understanding of how data warehouses and pipelines serve as
foundations for AI and ML workloads - including concepts such as
feature engineering, data lineage, and model-ready dataset design
Familiarity with Azure Machine Learning, Azure OpenAI, or similar
cloud AI services and how structured data feeds into them Your
workday and tasks: As a Data Warehouse Specialist at EG India, you
will be a central contributor to our data warehousing and business
intelligence efforts. You will design, develop, and maintain robust
data pipelines and warehouse structures that enable our teams to
turn raw data into actionable insight. You will collaborate closely
with developers, analysts, and product owners across our
international teams to understand data requirements and translate
them into reliable, scalable solutions. EG is on a strategic
journey to integrate AI and machine learning more deeply into our
products and internal operations. As part of this transformation,
the data warehouse is evolving from a reporting layer into the
analytical foundation that powers intelligent, data-driven
capabilities. In this role, you will play a key part in shaping
that foundation — building data structures and pipelines that are
not only reliable today, but ready to support AI and ML models
tomorrow. Our Values: Lead the Industry - We bring deep industry
expertise and help our customers lead their industry Make it Happen
- We take ownership, move quick and deliver real impact Stronger
Together - We collaborate across borders with high standards,
trust, openness and no politics. Join us in creating software that
works for people, not software that makes people work Curious what
it's really like to work at EG? Explore life at EG, meet some of
your future colleagues, and see our values in action: Working at EG
See all our open positions here Learn more about EG here
.

📌 Senior BI Specialist - Group Finance and Analytics (Mangalore)
🏢 EG A/S
📍 Mangalore