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 environments
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
Strong understanding of data warehouse concepts, principles, and architectural patterns
Experience with ETL processes — SQL Server Integration Services (SSIS) 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 fast 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

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Senior BI Specialist - Group Finance and Analytics