Find Sr. sde, distributed databases Jobs in Finglas, D

Senior Data Scientist
LexisNexis Risk Solutions —Dublin, County Dublin
- €68,400–€114,000 a year
- Full-time
- Azure
- SQL
- No degree
Senior Software Development Engineer, AWS RDS SQL Server
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- Full-time
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- Hybrid work
- Annual leave
- Work from home
Senior Developer
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- Remote
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CarGurus —Dublin, County Dublin
- €90,000–€108,000 a year
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Deskside Support Engineer
Cognizant —Dublin, County Dublin
- Full-time
- Hybrid work
- Software troubleshooting
- Presentation skills
- Scripting
Principal AI/ML Scientist & Engineer
Pipedrive —Dublin, County Dublin
- Full-time
- Hybrid work
- English
- AWS
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- Relocation assistance
- Annual leave
Quick apply
8d
Senior QA Automation Engineer (AI-First)
Storyful —Dublin, County Dublin
- Full-time
- Master's degree
- SQL
- AWS
Staff Software Engineer, AI Reliability Engineering
Anthropic —Dublin, County Dublin
- €235,000–€295,000 a year
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Marsh —Dublin, County Dublin
- Full-time
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Director, Data engineering
Mastercard —Dublin, County Dublin
- Full-time
- Master's degree
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Manager, Executive Experiences & Operations
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
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Principal Software Development Architect
Mastercard —Dublin, County Dublin
- Full-time
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Senior Integration Engineer
U.S. Bank National Association —DUBLIN 18, County Dublin
- €102,680–€120,800 a year
- Full-time
- Azure
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- Master's degree
Junior Software Engineer, Elixir
Telnyx —Dublin, County Dublin
- Software development
Quick apply
Software Engineer, Elixir
Telnyx —Dublin, County Dublin
- Remote
- Software development
Quick apply
Lead Support Engineer - Automation
eBay Inc. —Dublin, County Dublin
- Full-time
- Azure
- Java
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Senior Staff Engineer
StoneX Group —Dublin, County Dublin
- Azure
- Computer Science
- English
5d

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Senior Data Scientist

LexisNexis Risk Solutions -
Dublin, County Dublin

Apply Now

Job details

Full-time
€68,400–€114,000 a year

Qualifications

Power BI
Azure
XML
Relational databases
Spark
R
Git
SQL
Distributed systems
Mentoring
Cleaning
Linux
JSON
Communication skills
Python
Analytics

Full job description

Are you excited by solving complex data challenges, collaborating across teams, and turning ideas into production-ready products?

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle, all while reducing risk. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/insurance.

About the Role

As part of our team, you will work as a data science expert across a range of projects, helping to design, build, and deliver scalable analytical products. This role offers the opportunity to combine data engineering, statistical analysis, and machine learning to solve complex insurance challenges, while working closely with technology, product, and data engineering teams.

Responsibilities

Design and develop new products covering data processing, statistical analysis, and machine learning
Explore and evaluate new datasets, identify high-value use cases, and apply appropriate analytical and machine learning techniques
Build scalable, production-ready solutions in partnership with technology, product, and data engineering teams
Communicate complex analytical outcomes clearly to technical and non-technical audiences to demonstrate product value
Provide regular internal status updates and present project work externally where required
Contribute to project planning, including requirements definition, timelines, and execution plans
Support the development of analytics infrastructure, including testing processes and cloud best practices to enable smooth migration
Mentor and oversee team members in the delivery of project work
Travel occasionally between the UK and Ireland for meetings or workshops, where required

Requirements

Strong experience delivering data science, analytics, or machine learning solutions in a professional environment
You may have a degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science) or equivalent practical experience delivering data science solutions in industry.”
Strong data processing expertise, including extraction, cleaning, parsing, and working with formats such as Avro, Parquet, JSON, XML, and relational databases
Strong SQL skills and Python or R
Experience building data pipelines with automated testing and writing clean, maintainable, and well-tested code
Strong understanding of data integrity, consistency, and quality
Excellent collaboration, mentoring, written, and verbal communication skills, including the ability to explain complex topics clearly
Familiarity with coding best practices, documentation standards, Git-based version control, and Linux environments
Experience with insurance data or modelling, Azure ML and Azure data storage services, Databricks, Apache Spark, distributed computing, and BI or visualisation tools such as Power BI or R Shiny is welcomed

Risk benefit statement

Learn more about the LexisNexis Risk team and how we work here

Primary Location Base Pay Range: Ireland - Dublin (Rockfield Central) €68,400 - €114,000.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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