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Kneat Solutions

Database Developer

Posted Yesterday
Be an Early Applicant
In-Office
Limerick, Munster
Mid level
In-Office
Limerick, Munster
Mid level
Develop and optimize SQL queries and database schemas, support analytics initiatives, and create visualizations for business insights.
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Database Developer


Kneat enables regulated organizations to move from paper-based validation to intelligent, digitized, paperless solutions. And we do it through the ongoing development of a powerful, purpose-built software platform. In 2014, after eight years of intensive software development, we launched Kneat Gx—the world’s most advanced validation software to help revolutionize the speed, precision, transparency, and intelligence of validation in the Life Sciences sector. Our solution is now used by some of the world’s leading Life Sciences companies.


What we’re looking for

We are seeking a skilled and proactive Mid–Senior Database Developer to join our growing data team who is passionate about data and leveraging cutting-edge technologies to drive business insights and decision-making. In this role, you will play a key part in developing and optimizing our data infrastructure, supporting business intelligence initiatives, and helping deliver insights through high-quality data visualizations


Main Responsibilities

  • Develop, implement, and optimize complex SQL queries, stored procedures, and scripts across Postgres, Redshift, and other platforms.
  • Design and maintain scalable and efficient database schemas, including tables, views, and indexes.
  • Build and manage data models to support analytics and reporting use cases.
  • Implement and maintain database unit tests using appropriate testing frameworks to ensure code quality and reliability (e.g. tSQLt, pgTAP , pytest)
  • Participate in peer code reviews and help define and enforce database development best practices.
  • Gather and analyze business requirements to design wireframes and concepts for dashboards and reports.
  • Create and maintain interactive dashboards and reports using Amazon QuickSight.
  • Work closely with data analysts, engineers, and stakeholders to expose data to end users via well-structured datasets and visualizations.
  • Provide knowledge sharing, documentation, mentoring and training support to team members.

Preferred Qualifications

  • Hands-on experience with cloud-based database services such as AWS Redshift or Azure SQL Database.
  • Familiarity with ETL processes and tools (e.g., AWS Glue).
  • Solid understanding of data warehousing concepts, star/snowflake schemas, and data pipelines.
  • Strong working knowledge of self-service BI tools like QuickSight, Power BI, or Tableau.
  • Excellent analytical skills and ability to translate complex data into actionable insights.
  • Strong verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.

What we offer you


At Kneat, we truly value ideas and collaboration so we’ve created an environment that builds, protects, and celebrates teamwork. Our strong culture is central to our continued success.


We offer programs and rewards that one would expect from a highly successful and growing technology company.

  • A fantastic culture, team, and energy
  • Competitive compensation.
  • Comprehensive benefits package.
  • Flexible work arrangements.
  • Training and professional development.

Kneat is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to Equal Employment Opportunity (EEO) regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.


Reasonable accommodations may be made to enable qualified individuals with disabilities or special needs to perform these essential functions. If you have a disability or special need that requires accommodation to complete this application form, please contact us at +353 (0)612 038 26 (Ext 2004) or email us at [email protected] for assistance.

Top Skills

Amazon Quicksight
Aws Glue
Aws Redshift
Azure Sql Database
Pgtap
Postgres
Power BI
Pytest
Redshift
SQL
Tableau
Tsqlt

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