Find Databricks data Jobs in Dublin, D

Analyst - Global Data and Analytics Team (full-stack experience/Angular/React/MEAN/SQL ideal)
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JPMorganChase —DUBLIN 2, County Dublin
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Deloitte —Dublin, County Dublin
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Grant Thornton —Dublin, County Dublin
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Principal Data Product Engineer — Data Ontology & Metadata
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Doctoral degree
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- Master's degree
5d
Senior Platform Engineer - Data License Plus
Bloomberg —Dublin, County Dublin
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Senior Manager of Data Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
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13d
Director, Data engineering
Mastercard —Dublin, County Dublin
- Full-time
- Master's degree
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Senior Data Engineer
Elwood Roberts —Dublin, County Dublin
- €450–€500 a day
- Full-time
- Azure
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Quick apply
Analytics Team Lead
Citco —Dublin, County Dublin
- Full-time
- Azure
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Customer & Consumer Data Product Owner
Glanbia Foods —DUBLIN 24, County Dublin
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AI Engineering Lead - Senior Manager - Data & AI - Technology Consulting - Advisory
PwC —Dublin, County Dublin
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Sr. BI Analyst
Glanbia Foods —Dublin, County Dublin
- €401,000 a year
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Principal Data Product Engineer — Data Ontology & Metadata
AstraZeneca —Dublin, County Dublin
- Doctoral degree
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Forward Deployed Engineer
Salesforce —Dublin, County Dublin
- Full-time
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Sr Machine Learning Engineer
paypal —Dublin, County Dublin
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AI Solution Architect - AWS Senior Manager - Data & AI - Technology Consulting - Advisory
PwC —Dublin, County Dublin
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Temp - Data Modeller (Vice President)
Sumitomo Mitsui Banking Corporation —Dublin, County Dublin
- Hybrid work
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Senior Data Engineer
G MASS —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
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- Mentoring
Quick apply
Staff Machine Learning Engineer
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Azure
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Analyst - Global Data and Analytics Team (full-stack experience/Angular/React/MEAN/SQL ideal)

Marsh -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

React
SQL
Angular
Communication skills
Analytics

Full job description

Company:

Marsh Corporate

Description:

We are seeking a talented individual to join our Global Data and Analytics Team at Marsk Risk . This role will be based in our Dublin, Ireland office. This is a hybrid role that has a requirement of working at least 3 days a week in the office.

What you can expect:

This role will be responsible for thoroughly understanding existing applications from both technical and business perspectives and documenting requirements through sketches and wireframes. It involves actively participating in business analysis, affordability modelling, and idea generation while serving as a proactive problem-solver.
The role requires close collaboration with technical colleagues within Marsk Risk’s Tech organization and building strong relationships with business stakeholders. Clear communication of complex concepts to stakeholders, supporting product backlog and release management, providing feature estimates, and contributing to improving the team’s overall velocity, quality, and value delivery are also key responsibilities.

We will count on you to:

Understand existing applications end-to-end from technology and business outcome perspectives
Collaborate with Product Team to understand the requirements, Document requirements using diagrams, wireframes and Text as relevan t
Participate in business analysis, affordability modelling and idea generation
Be an active problem-solver
Collaborate closely with technical colleagues that are part of MMC’s Tech organization
Develop and maintain strong business relationships with the business stakeholders
Communicate complex concepts in such a way that stakeholders will understand
Assist manager with product backlogs and release management
Provide estimates for product features
Develop code, Unit Test, fix defects reported, resolve technical issues
Contribute to increasing the team’s overall velocity, quality and value delivered

What you need to have:

Strong full-stack development experience, with hands-on expertise in Angular or React and preferably the MEAN stack
Solid SQL programming skills, with the ability to work with data to support analysis and decision-making
Ability to translate complex technical concepts into clear, business-friendly language for stakeholders and engineers alike
Proven track record of end-to-end product thinking, including requirements gathering, wireframing, feature estimation, backlog support, and delivery improvement

What makes you standout:

Working experience in Insurance and Insurance brokerage domain
Hands on experience with Databricks platform
Experience of working in a global environment

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, Traveller community, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable support to any candidate with a disability/health condition to allow them to fully participate in the recruitment process. We welcome candidates to contact us at [email protected] to discuss any specific needs.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Apply Now

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databricks data jobs in dublin, d

Analyst - Global Data and Analytics Team (full-stack experience/Angular/React/MEAN/SQL ideal)

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