IT Solution database engineer

We are seeking an experienced Data Warehouse Developer to design develop and maintain enterprise data integration solutions that support business intelligence analytics operational reporting and data-driven decision-making. The successful candidate will be responsible for building and optimizing ETL processes developing SSIS packages designing data warehouse solutions and creating efficient SQL queries and stored procedures to extract transform merge and deliver data from multiple systems.

This role requires strong expertise in Microsoft SQL Server technologies data modeling data governance performance tuning and large-scale data integration.

Key Responsibilities

Data Integration & ETL Development

Design develop test and maintain SQL Server Integration Services (SSIS) packages for data extraction transformation and loading (ETL).

Integrate data from multiple internal and external sources including SQL Server databases flat files APIs cloud platforms and third-party applications.

Develop robust error handling logging and monitoring mechanisms within ETL processes.

Troubleshoot and resolve ETL failures performance bottlenecks and data quality issues.

Data Warehouse Development

Design and maintain enterprise data warehouses data marts and staging environments.

Develop dimensional models including star and snowflake schemas.

Implement data cleansing transformation and standardization processes.

Collaborate with business stakeholders to translate reporting and analytics requirements into scalable warehouse solutions.

SQL Development & Performance Optimization

Write complex highly optimized T-SQL queries views functions and stored procedures.

Develop efficient data retrieval and transformation logic across large datasets.

Analyze execution plans and optimize database performance through indexing partitioning and query tuning.

Ensure scalable and maintainable database solutions that support growing business needs.

Data Quality & Governance

Implement data validation processes to ensure accuracy completeness and consistency.

Identify and resolve data discrepancies across systems.

Support data governance initiatives and maintain metadata documentation.

Ensure compliance with organizational security and data management standards.

Reporting & Analytics Support

Support reporting teams by developing data structures optimized for BI tools such as Power BI SSRS or Tableau.

Create and maintain reusable datasets and reporting views.

Assist analysts and business users with complex data requests and ad-hoc analyses.

Documentation & Collaboration

Create and maintain technical documentation for ETL processes data mappings warehouse structures and database objects.

Participate in architecture and design reviews.

Collaborate with developers DBAs business analysts and project managers throughout the SDLC.

Support production deployments and post-implementation troubleshooting.

Required Qualifications

Education

Bachelors degree in Computer Science Information Systems Software Engineering Data Engineering or a related discipline.

Experience

5 years of hands-on experience in Data Warehouse Development.

5 years of SQL Server development experience.

3 years of experience developing and supporting SSIS packages and ETL solutions.

Experience working with large enterprise databases and high-volume transactional systems.

Required Technical Skills

Database Technologies

Microsoft SQL Server 2016/2019/2022

SQL Server Integration Services (SSIS)

SQL Server Reporting Services (SSRS)

SQL Server Agent

SQL Development

Advanced T-SQL programming

Stored Procedures

• Views
•  
• Functions
•  
• Common Table Expressions (CTEs)
•  
• Window Functions
•  
• Query Optimization
•  
• Execution Plan Analysis
•  
• Indexing Strategies
•  
• Data Warehouse Concepts
•  
• ETL/ELT Methodologies
•  
• Data Modeling
•  
• Star Schema
•  
• Snowflake Schema
•  
• Slowly Changing Dimensions (SCD)
•  
• Fact and Dimension Tables
•  
• Data Governance
•  
• Master Data Management
•  
• Tools & Methodologies
•  
• Azure DevOps or Git
•  
• Agile/Scrum Development
•  
• Data Validation & Reconciliation
•  
• Root Cause Analysis
•  
• Preferred Qualifications
•  
• Experience with Azure Data Factory (ADF).
•  
• Experience with Azure SQL Database or Synapse Analytics.
•  
• Experience supporting Power BI semantic models and datasets.
•  
• Knowledge of data lake and modern analytics architectures.
•  
• Microsoft DP-203 DP-300 or related certifications.
•  
• Key Competencies
•  
• Strong analytical and problem-solving skills.
•  
• Exceptional attention to detail and data accuracy.
•  
• Ability to work independently and manage multiple priorities.
•  
• Strong verbal and written communication skills.
•  
• Customer-focused approach to delivering business solutions.
•  
• Continuous improvement mindset focused on performance and scalability.
•  
• Success Measures
•  
•  
• The Data Warehouse Developer will be evaluated based on:
•  
•  
• ETL reliability and successful batch execution rates.
•  
• Data quality and accuracy.
•  
• Query and report performance improvements.
•  
• Timely delivery of integration and reporting solutions.
•  
• Documentation quality and adherence to development standards.
•  
• Reduction of manual data processing through automation.
•  
•  
• This version is aligned with an enterprise SQL Server/Data Warehouse environment such as Eurofins SSIS/SSRS-driven reporting and analytics platforms.

Remote Work :

No

Employment Type :

Full-time