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Senior Database Engineer (SSIS)

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Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

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.

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

  • Design, develop, and maintain SSIS packages for ETL

  • Design and maintain data warehouses, data marts, and staging areas

  • Write complex T-SQL queries, views, and stored procedures

  • Troubleshoot ETL failures, performance issues, and data quality problems

  • Tune queries and indexing using execution plan analysis

From the employer’s posting
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.
Design, develop, test, and maintain SQL Server Integration Services (SSIS) packages for data extraction, transformation, and loading (ETL).
Design and maintain enterprise data warehouses, data marts, and staging environments.
Write complex, highly optimized T-SQL queries, views, functions, and stored procedures.
Troubleshoot and resolve ETL failures, performance bottlenecks, and data quality issues.
Analyze execution plans and optimize database performance through indexing, partitioning, and query tuning.

What you’ll bring

All qualifications

Core experience

  • 5+ years of hands-on experience in Data Warehouse Development.
  • SQL Server Integration Services (SSIS)
  • Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or a related discipline.
  • 5+ years of SQL Server development experience.
  • SQL Server Reporting Services (SSRS)
  • 3+ years of experience developing and supporting SSIS packages and ETL solutions.

Preferred experience

  • Experience with Azure Data Factory (ADF).
  • Ability to work independently and manage multiple priorities.
  • Experience with Azure SQL Database or Synapse Analytics.
  • Experience supporting Power BI semantic models and datasets.
Qualification wording
5+ years of hands-on experience in Data Warehouse Development.
SQL Server Integration Services (SSIS)
Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or a related discipline.
5+ years of SQL Server development experience.
SQL Server Reporting Services (SSRS)
3+ years of experience developing and supporting SSIS packages and ETL solutions.
Experience with Azure Data Factory (ADF).
Ability to work independently and manage multiple priorities.
Experience with Azure SQL Database or Synapse Analytics.
Experience supporting Power BI semantic models and datasets.
Education & alternatives
Qualifications Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or a related discipline. Company Description
Apply at Eurofins

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 6, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 54.

At Eurofins, jobs usually come down by about day 9.

From 11,508 similar postings that came down, and 220 of Eurofins’s. Coming down is not always a hire.

Eurofins is hiring

44 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is steady
  • Takes jobs down quickly
  • 18% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • Azure
  • Power BI
  • SQL Server
  • SSRS
  • Tableau
Where the posting names them
Role Summary: 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.
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.
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.
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.
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.
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.
Database Technologies Microsoft SQL Server 2016/2019/2022 SQL Server Integration Services (SSIS)
Microsoft SQL Server 2016/2019/2022 SQL Server Integration Services (SSIS) SQL Server Reporting Services (SSRS)
SQL Server Integration Services (SSIS) SQL Server Reporting Services (SSRS) SQL Server Agent
SQL Server Reporting Services (SSRS) SQL Server Agent SQL Development
SQL Server Agent SQL Development Advanced T-SQL programming
SQL Development Advanced T-SQL programming Stored Procedures
- Experience with Azure Data Factory (ADF). - Experience with Azure SQL Database or Synapse Analytics. - Experience supporting Power BI semantic models and datasets.
- 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. Qualifications
- Toos & Methodologies - Azure DevOps or Git - Agile/Scrum Development
- Preferred Qualifications - Experience with Azure Data Factory (ADF). - Experience with Azure SQL Database or Synapse Analytics.
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.
- Experience with Azure SQL Database or Synapse Analytics. - Experience supporting Power BI semantic models and datasets. - Knowledge of data lake and modern analytics architectures.

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,079.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

 

Job Title: Solution Database Engineer

Work Location: Bangalore

Shift timings: 8.00am to 5.00pm OR 12.00pm to 9.00pm IST

Work mode: Hybrid - 3 Days office

Role Summary:
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

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
  • Toos & 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.

 

Qualifications

Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or a related discipline.

Company Description

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate.

The Eurofins network of companies believes that it is a global leader in food, environment, pharmaceutical and cosmetic product testing and in discovery pharmacology, forensics, advanced material sciences and AgroScience contract research services. It is also one of the market leaders in certain testing and laboratory services for genomics, and in the support of clinical studies, as well as in biopharma contract development and manufacturing. It also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products.

In over 37 years, Eurofins has grown from one laboratory in Nantes, France to over 65,000 staff across a decentralised and entrepreneurial network of more than 950 laboratories in over 1,000 companies across 59 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products.

In 2024, Eurofins generated total revenues of EUR 6.95 billion; and has been among the best performing stocks in Europe over the past 20 years.

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Location & working pattern

Bengaluru, KA, India

Shift timings: 8.00am to 5.00pm OR 12.00pm to 9.00pm IST Work mode: Hybrid - 3 Days office Role Summary:
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