49 Data Pipelines jobs in Ireland

• Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
• Experience in product management around requirements gathering, roadmap planning, and execution.
• Experience in technical troubleshooting, and managing internal/external partners or customers.

• 3 years of experience in data products and technologies such as SQL, data warehousing, data architecture and data governance.
• Experience identifying business needs, and defining or building data solutions to address business needs in a customer service environment.
• Experience using AI technologies to augment, improve or automate the development process.
• Experience in planning and managing several large-scale, complex technical projects to deliver quality results within the project deadlines.
• Ability to collaborate, build consensus, and drive technical decisions with complex cross-functional stakeholder groups, involving both technical and non-technical audiences.
• Excellent technical leadership, project management and problem solving skills.

gTech's Analytics, Products and Tools team (gAPT) leverages deep user

insights and gen AI technology to improve or automate Google's Ads customer support experiences. gAPT partners closely with gTech's Support, Professional Services, Product Management, and Engineering teams to simplify our Ads support products and build the productivity tools ecosystem for gTech users. We are leaders of the customer experience, advocating for big-picture visions, feature requests, and offering product improvements backed by data-driven insights. Our work enables gTech teams to deliver delightful support to our customers.

Google creates products and services that make the world a better place, and gTech's role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers' complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

• Develop data product strategy and roadmaps, incorporating both near term business requests for long-term needs.
• Create program requirements and co-lead design and development.
• Manage the data product/program life-cycle.
• Create data products that enable/provide business metrics.
• Conduct resource planning and make data product prioritization/trade-offs.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Data Integration Developer – HIRING ASAP
Start date: ASAP

Duration: 4 Months

Location: 1-2 days per week in the Dublin office. 3-4 days per week remote.

Rate: €400 - €446 per day

Summary:
 

State Street Global Alpha Data Platform, lets you load, enrich and aggregate investment data. Alpha Clients will be able to manage multi-asset class data from any service provider or data vendor for a more holistic and integrated view of their holdings. This platform reflects State Street's years of experience servicing complex instruments for our global client base and our investments in building advanced data management technologies. 

Reporting to the Alpha Development delivery manager, you'd be responsible for overall development life cycle leading to successful delivery and support of Alpha Data Platform (ADP) Services to clients. 

Responsibilities:
 

• As a Data Integration Developer/Sr Developer, be hands-on ETL/ELT data pipelines, Snowflake DWH, CI/CD deployment Pipelines and data-readiness(data quality) design, development, implementation and address code or data issues.
• Experience in designing and implementing modern data pipelines for a variety of data sets which includes internal/external data sources, complex relationships, various data formats and high-volume.

• Experience and understanding of ETL Job performance techniques, Exception handling, Query performance tuning/optimizations and data loads meeting the runtime/schedule time SLAs both batch and real-time data uses cases.

• Demonstrated ability to rationalize problems and use judgment and innovation to define clear and concise solutions.

• Demonstrate strong collaborative experience across regions (APAC, EMEA and NA) to come up with design standards, High level design solutions document, cross training and resource onboarding activities.
• Good understanding of SDLC process, Governance clearance, Peer Code reviews, Unit Test Results, Code deployments, Code Security Scanning, Confluence Jira/Kanban stories.
• Strong attention to detail during root cause analysis, SQL query debugging and defect issue resolution by working with multiple business/IT stakeholders.

Experience:
 

• A minimum of 4-10 years of experience into data integration/orchestration services, service architecture and providing data driven solutions for client requirements
• Experience on Microsoft Azure cloud and Snowflake SQL, database query/performance tuning.
• Experience with Qlik Replicate and Compose tools (Change Data Capture) tools is considered a plus.
• Strong Data warehousing Concepts, ETL tools such as
  Talend Cloud Data Integration tool
  is must.
• Exposure to the financial domain knowledge is considered a plus.
• Cloud Managed Services such as source control code GitHub, MS Azure/DevOps is considered a plus.
• Prior experience with State Street and Charles River Development (CRD) considered a plus.
• Experience in tools such as Visio, PowerPoint, Excel.
• Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus.
• Strong SQL knowledge and debugging skills is a must.

Role Title
: Graduate Data Integration Officer (Permanent Role)

Grade:
Clerical Grade IV

Location:
Airport Business Park, Cork.

Blended Working:
Minimum 2 days a week in Head Office and the remainder of the week spent working from home or as business needs dictate. Further information can be found in the NCRI Blended Working Policy.

Salary Scale:
€35,609 €7,741 ,597 ,760 ,740 ,473 ,151 ,414 ,059 ,718 ,296 ,914.

Please note that all new entrants to public service will start at point 1 of the Salary Scale.
Closing date:
Friday, 5:00pm, 31st October 2025.

Role Purpose
The Graduate Data Integration Officer will be part of the Data Integration Team, which manages electronic data feeds into the NCRI. This includes tasks such as data matching, geocoding, and screening data linkage. The role supports the NCRIs mission to collect, manage, and communicate cancer data to improve outcomes in Ireland.

Role Summary
The Graduate Data Integration Officer will play a key role within the Data Integration Team at the National Cancer Registry Ireland (NCRI). This position is responsible for processing electronic health data feeds, ensuring data quality, and supporting the development and maintenance of the Cancer Registration System (CRS). The role involves data matching, quality assurance, system testing, and collaboration across teams to support NCRIs strategic goals. It requires strong technical skills, attention to detail, and a commitment to data confidentiality and accuracy.

Behavioural Expectations
TheincumbentofthisroleisexpectedtodemonstrateNCRIsvaluesandbehavioursininthe

deliveryofeverydayworkandinteractionswithstakeholdersandcolleagues.

• RespectWetreateveryonewithdignityofrespect.
• Trust Wehonourourcommitments.
• CollaborationWeworkcollaborativelywithallourstakeholders.
• QualityWearecommittedtocontinuousqualityimprovement.
• EnthusiasmWearepassionateaboutandtakeimmensepride inourwork.
• Confidentiality We treat all our patient information with the highest level of data security.

Key Responsibilities
The responsibilities of the post are:
DataMatching

• Monitorincomingdatafeeds.
• Loadincomingdatasetsintosystemtables.
• MatchdatasetswithintheCancerRegistrationSystem(CRS).
• Assistwithdatacleaningand standardisation.
• Carry out any other one-off matching that may be required from time to time.

QualityAssurance/QualityControl

• Assistinrunningandco-ordinatingtheresultsofqualitychecklists.
• Carryoutqualityassuranceonsystemtablesrelevanttoroutinework.
• Accuratelyenterdataasrequired.
• Run routine reports to monitor activity.

SystemDevelopment

• CarryoutanyrelevanttestingonnewCRS(CancerRegistrationSystem)releasesasrequired.
• Investigate and troubleshoot any issues that may arise as a result of matching processes.

Other

• CollaboratewithteamsacrossNCRItohelptheorganisationmeetitsstrategicgoals.
• ProvideusersupportwithintheNCRIasrequired.
• Awarenessofdataconfidentiallyandsensitivityandbecognizantofthisinallaspectsoftherole.
• Createand/ormaintaincomprehensivedocumentation
• Engageinongoingtraining.
• Any other reasonable duties that may be specified by management from time to time.

Essential Criteria For This Role

• ALevel8qualificationontheNationalFrameworkofQualifications(NFQ)inPublicHealth, Information Management or any other data related course.
• 1-2yearsofexperienceinrelevantrolesoracademicprojects.
• ExperiencewithITtoolstoassistwithdatamanagement,dataqualityanddatasharing.
• Understandingofdatabases.
• Excellent IT skills to include the MS Office Suite, file and folder management and electronic communications

Desirable Criteria For This Role

• Experience of working with health or research datasets.
• Experienceorknowledgeofrecordlinkage.
• DataProtection knowledge.
• ExperienceorknowledgeofmedicalcodingsystemsuchasICD10,ICD0O,orSnomed.
• Strongattentiontodetail,ensuringalldeliverablesmeetqualitystandards.
• Provide administrative support to the Data Integration team as required.

Personal Qualities
The post holder must be able to demonstrate the following personal qualities:

• Goodinterpersonalandcommunicationskills.
• Abilitytoorganiseandprioritisetheirownworkload.
• A willingness - and ability - to work on several projects simultaneously.
• Excellentattentiontodetail,andscrupulousconcernforaccuracy.
• Abilitytouseowninitiative.
• Abilitytoworkindependentlyandinmultidisciplinaryteams.

Ability to communicate effectively to professional and clinical groups and lay audiences

PrincipalConditionsofService Probation
A probationary period of twelve months applies to the permanent position.

Pay
Candidates will be appointed on the
minimum point of the salary scale ( ,609)
and in accordancewiththeDepartmentofHealth guidelines.The rateofremunerationwillnotbe subject to negotiation.

The Incremental Progression For This Scale Is In Line With Government Pay Policy. The Salary Scale For This Position Is As Follows

,609 ,741 ,597 ,760 ,740 ,473 ,151 ,414 ,059, ,718(Max)

,296 (LSI1)1, ,914(LSI2) 2

• After3yearssatisfactoryserviceatthemaximum
• After3yearssatisfactoryserviceonLSI1

Entry will be at the first point of the scale.
An exception may occur where an appointee has been serving elsewhere in the
Public Service/Academia
in an analogous grade and pay-scale. In this case the appointment may be made at the appointees current point of scale. Please note therateofremunerationmaybeadjustedfromtimetotimeinlinewithGovernmentpaypolicy.

Superannuation
Pensionablepublicservants(newjoiners)recruitedonorafter1January2013willbemembersof the Single Public Service Pension Scheme. Please note that the Single Public Service Pension Scheme applies to all pensionable first-time entrants to the public service, as wellas to former public servants returning to the public service after a break of more than 26 weeks. In certain circumstances, e.g. where the public servant was on secondment or approved leave or remains on the same contract of employment, the 26-week rule does not apply. The legislation giving effect to the Scheme is the Public Service Pensions (Single Scheme and Other Provisions) Act 2012.

ForthosewhoarenotsubjecttotheSinglePublicServicePensionScheme(e.g.thosetransferring fromotherpublicserviceemploymentwherethebreakinservice,ifany,islessthan26 weeks), the terms of the National Cancer Registry of Ireland Superannuation Scheme will apply.

Annual Leave
Annual leave is 30 days.

Hours Of Attendance
Hours of attendance will be fixed from time to time but will amount to not less than 35 per week. The appointee may be required to work additional hours from time to time as may be reasonable and necessary for the proper performance of their duties subject to the limits set down under working time regulations.

Blended Working Arrangements
NCRI has introduced a Blended Working Policy to offer more flexible working arrangements to all employees. We aim to strike a balance between being flexible, efficient, and resilient by facilitating blended working where practical, while enabling onsite interaction, collaboration, and support as required.

Theremaybearequirementtoattendtheofficeformorethantheallocatednumberofdaysfor training and onboarding purposes at the start of your tenure and during the probation period.

Please note that NCRI Blended Working Policy is aligned to the Right to Request Remote Working legislation when enacted and the governments Blended Working Policy Framework for Civil and Public Service.

Further guidance on NCRIs Blended Working Policy, which includes eligibility criteria will be issued to successful candidate/s.

It is important to note that this is an opt-in policy and must be applied for upon appointment.

Selection Procedure
How to Apply and Closing Date:
Anup-to-dateCVandCoverLetteroutliningallrelevanteducationalandworkexperience must be submitted by 5.00pm on Friday 31st October 2025.

OnlyCVsandCoverLetterssubmittedonline
throughRezoomo
willbeaccepted.

Elgin Values
Core Behavioural Responsibilities For All Employees
Agility
We Lead with Agility

Integrity
We Act with Integrity

Excellence
We Empower Excellence

Care
We Value Care

Integration of our four core values into our employment processes and frameworks allows Elgin to recognise and respect individual employees for their personal contributions to their roles, their colleagues, stakeholders, and ultimately to the renewable energy sector. We see sustainability as every employee's responsibility and weaving sustainable practices into our values is paramount to the culture we seek to create.

Job Description
Elgin is seeking a
*Platform & Data Integration Specialist *
to manage, support, and enhance our Microsoft ecosystem, with a focus on unlocking data insights and automation opportunities.

This role will ensure our core applications, including Power BI, Power Automate, Microsoft Copilot, Dynamics 365, Business Central, SharePoint, and selected non-Microsoft platforms, work seamlessly together to drive productivity and business intelligence.

The ideal candidate will combine technical expertise with strong business process understanding, acting as a bridge between IT and operational teams.

What you will do:
Key Responsibilities

• Microsoft Power Platform – Design, build, and maintain Power BI reports and dashboards; develop and manage Power Automate flows; create simple, user-friendly Power Apps.
• Data Integration & Governance – Build and maintain data flows across Microsoft applications and third-party APIs; support data quality, transformation, and security initiatives; ensure compliant, well-governed data practices.
• Business Insights – Work with stakeholders to identify opportunities for better data use; centralise reporting across Dynamics 365, Business Central, SharePoint, and Microsoft 365; deliver actionable insights to teams.
• AI & Microsoft Copilot – Configure and optimise Copilot and other AI tools; support adoption and governance.
• User Enablement – Provide second-line support for Power Platform and integration queries; deliver training and documentation to drive user adoption.

Your profile
Essential

• Relevant qualification in IT, Computer Science, Data Analytics, or a related discipline, or equivalent practical experience.
• 3+ years' experience working with the Microsoft Power Platform (Power BI, Power Automate, and Power Apps).
• 2+ years' experience with data integration across Microsoft applications (e.g. Dynamics 365, Business Central, SharePoint, Microsoft 365) and third-party APIs.
• Demonstrated experience in designing and delivering Power BI reports and dashboards for business users.
• Hands-on experience with Microsoft Copilot/AI tools and a solid understanding of data governance in AI contexts.
• Strong analytical, problem-solving, and communication skills, with the ability to translate technical concepts into business value.

Desirable

• Experience with Microsoft Dataverse and data modelling.
• Knowledge of Azure integration services (Logic Apps, Functions) or similar cloud integration tools.
• Proficiency in SQL or other query languages.
• Prior experience supporting ERP or CRM platforms (Dynamics 365, Business Central) with a focus on data and reporting.
• Familiarity with Java, particularly in the context of extending or integrating with Power Apps

About Us
Elgin is a leading international solar & storage company, bringing projects from origination through development to energisation. The company has a portfolio of projects in late-stage development totaling 15GW+ across four key markets: the UK, Australia, Ireland and Germany.

Elgin Energy is an entrepreneurial business with a strong culture, pipeline, and future growth trajectory. The company has expanded internationally over the last 15 years with over 115 professionals located in its London, Dublin, Munich, Madrid and Sydney offices. Elgin has a 98% success rate through planning across all its markets. Please visit our website to learn more;

or check out our LinkedIn;

Core behavioural responsibilities for all employees

Agility

We Lead with Agility

Integrity

We Act with Integrity

Excellence

We Empower Excellence

Care

We Value Care

Integration of our four core values into our employment processes and frameworks allows Elgin to recognise and respect individual employees for their personal contributions to their roles, their colleagues, stakeholders, and ultimately to the renewable energy sector. We see sustainability as every employee's responsibility and weaving sustainable practices into our values is paramount to the culture we seek to create.

Elgin is seeking aPlatform & Data Integration Specialist to manage, support, and enhance our Microsoft ecosystem, with a focus on unlocking data insights and automation opportunities.

This role will ensure our core applications, including Power BI, Power Automate, Microsoft Copilot, Dynamics 365, Business Central, SharePoint, and selected non-Microsoft platforms, work seamlessly together to drive productivity and business intelligence.

The ideal candidate will combine technical expertise with strong business process understanding, acting as a bridge between IT and operational teams.

Key Responsibilities

• Microsoft Power Platform – Design, build, and maintain Power BI reports and dashboards; develop and manage Power Automate flows; create simple, user-friendly Power Apps.
• Data Integration & Governance – Build and maintain data flows across Microsoft applications and third-party APIs; support data quality, transformation, and security initiatives; ensure compliant, well-governed data practices.
• Business Insights – Work with stakeholders to identify opportunities for better data use; centralise reporting across Dynamics 365, Business Central, SharePoint, and Microsoft 365; deliver actionable insights to teams.
• AI & Microsoft Copilot – Configure and optimise Copilot and other AI tools; support adoption and governance.
• User Enablement – Provide second-line support for Power Platform and integration queries; deliver training and documentation to drive user adoption.

Essential

• Relevant qualification in IT, Computer Science, Data Analytics, or a related discipline, or equivalent practical experience.
• 3+ years' experience working with the Microsoft Power Platform (Power BI, Power Automate, and Power Apps).
• 2+ years' experience with data integration across Microsoft applications (e.g. Dynamics 365, Business Central, SharePoint, Microsoft 365) and third-party APIs.
• Demonstrated experience in designing and delivering Power BI reports and dashboards for business users.
• Hands-on experience with Microsoft Copilot/AI tools and a solid understanding of data governance in AI contexts.
• Strong analytical, problem-solving, and communication skills, with the ability to translate technical concepts into business value.

Desirable

• Experience with Microsoft Dataverse and data modelling.
• Knowledge of Azure integration services (Logic Apps, Functions) or similar cloud integration tools.
• Proficiency in SQL or other query languages.
• Prior experience supporting ERP or CRM platforms (Dynamics 365, Business Central) with a focus on data and reporting.
• Familiarity with Java, particularly in the context of extending or integrating with Power Apps

Elgin is a leading international solar & storage company, bringing projects from origination through development to energisation. The company has a portfolio of projects in late-stage development totaling 15GW+ across four key markets: the UK, Australia, Ireland and Germany.

Elgin Energy is an entrepreneurial business with a strong culture, pipeline, and future growth trajectory. The company has expanded internationally over the last 15 years with over 115 professionals located in its London, Dublin, Munich, Madrid and Sydney offices. Elgin has a 98% success rate through planning across all its markets. Please visit our website to learn more; or check out our LinkedIn;

#LI-Hybrid

Lead the design, delivery, and operations of high-impact data and analytics solutions for an innovative healthcare client. You'll manage a team of data engineers, analysts, and scientists, driving innovation in data infrastructure, tools, and reporting. This role blends strategic vision with hands-on technical leadership, fostering collaboration, mentoring talent, and ensuring best-in-class data products that support healthcare business goals.

• Partner with the Group Chief Data Officer to shape and execute the company's Data Strategy, aligning with business goals and driving data-informed decision-making
• Work cross-functionally to uncover business challenges and translate them into actionable insights through analytics
• Implement and uphold Data Ops best practices to ensure reliable, high-quality data availability
• Manage and document optimized data pipelines, reporting tables, storage solutions, and model deployments
• Manage and maintain data infrastructure including Azure, dbt, Microsoft Fabric, and related ETL/ELT, ML/AI, and storage tools
• Advance Data Science and ML/AI Ops capabilities, guiding use case development, model deployment, and pipeline optimization
• Maintain centralized documentation and code repositories for all data solutions
• Collaborate with product owners to prioritize sprint features and manage technical requirements
• Ensure ongoing compliance with data governance, security, and architectural standards
• Lead a high-performing team of data engineers, analysts, and scientists
• Provide mentorship, guidance, and feedback to foster a collaborative and growth-oriented culture

• 5+ years' experience in senior data engineering or similar roles within fast-paced, data-driven environments
• Advanced degree (Master's/PhD) in Science, Engineering, Computer Science, or quantitative field
• Technical background with expertise in data engineering, machine learning, statistics, Data/ML Ops and analytics
• Proficient in SQL, Python, PySpark, and R
• Deep experience with modern data platforms including Azure, Microsoft Fabric, Databricks, dbt, and Power BI
• Proven track record delivering solutions across cloud, on-prem, and distributed systems

• Bonus
• Pension

Our Talent Management solutions are people-led and expertise-driven. We understand the importance of people within a business and work closely with our clients to ensure that their people solutions bring their business strategies to life.

Our offering is different. The future of work is demanding a flexible and quality-driven model and we have created solutions that not only facilitate flexibility but actually foster agility, innovation and most importantly results.

We have a community of experienced, qualified and skilled professionals who we match to client assignments focussing not only on relevant skills but also on our value-added services.

We are part of the global HR-Path network, with partner companies who specialise in HR, Business & Technology Consulting, bringing in-depth knowledge of regulatory changes, evolving market trends and technology breakthroughs across our international network.

Lead the design, delivery, and operations of high-impact data and analytics solutions for an innovative healthcare client. You'll manage a team of data engineers, analysts, and scientists, driving innovation in data infrastructure, tools, and reporting. This role blends strategic vision with hands-on technical leadership, fostering collaboration, mentoring talent, and ensuring best-in-class data products that support healthcare business goals.

Key Responsibilities

• Partner with the Group Chief Data Officer to shape and execute the company's Data Strategy, aligning with business goals and driving data-informed decision-making
• Work cross-functionally to uncover business challenges and translate them into actionable insights through analytics
• Implement and uphold Data Ops best practices to ensure reliable, high-quality data availability
• Manage and document optimized data pipelines, reporting tables, storage solutions, and model deployments
• Manage and maintain data infrastructure including
  Azure, dbt, Microsoft Fabric
  , and related ETL/ELT, ML/AI, and storage tools
• Advance Data Science and ML/AI Ops capabilities, guiding use case development, model deployment, and pipeline optimization
• Maintain centralized documentation and code repositories for all data solutions
• Collaborate with product owners to prioritize sprint features and manage technical requirements
• Ensure ongoing compliance with data governance, security, and architectural standards
• Lead a high-performing team of data engineers, analysts, and scientists
• Provide mentorship, guidance, and feedback to foster a collaborative and growth-oriented culture

Skills, Knowledge and Expertise

• 5+ years' experience in senior data engineering or similar roles within fast-paced, data-driven environments
• Advanced degree (Master's/PhD) in Science, Engineering, Computer Science, or quantitative field
• Technical background with expertise in data engineering, machine learning, statistics, Data/ML Ops and analytics
• Proficient in SQL, Python, PySpark, and R
• Deep experience with modern data platforms including
  Azure, Microsoft Fabric, Databricks, dbt, and Power BI
• Proven track record delivering solutions across cloud, on-prem, and distributed systems

PTSB is one of Ireland's leading retail and SME banks, with an innovative range of products and services powered through an evolving digital landscape, our focus is centred on ensuring we deliver what our customers, colleagues and communities need to be successful.

As a Data Engineering Tester, you will be responsible for ensuring that data pipelines, integrations, transformations, and platforms meet quality, performance, and compliance standards before they are deployed into production. You will work closely with data engineers, business analysts, architects, and business stakeholders to design and execute test plans, validate data integrity, and confirm that solutions are fit for purpose.

Responsibilities:

• Design, implement, and execute test cases for data ingestions, transformation, and storage processes.
• Perform data validation and verification to ensure data accuracy, completeness, and consistency across source and target systems. Identify and report any discrepancies or issues.
• Perform regression, integration and performance testing for data workflows.
• Collaborate with data engineers, business analysts, and other stakeholders to design and develop comprehensive test cases that cover functional and non-functional requirements.
• Implement and maintain automated testing scripts to improve efficiency and reduce manual testing efforts.
• Document and report test results, including defects and issues found during testing. Communicate findings to the development team and assist in troubleshooting.

Requirements:

• Degree in Computer Science, Mathematics, Economics, Engineering, IT or relevant field.
• Proven data engineering testing experience in enterprise class data engineering platforms e.g. Teradata Vantage, Snowflake etc
• Experience with testing pipeline creation, data provisioning & storage, architecture, unstructured data, ETL development, data modelling, big data, APIs, Python, SQL, NO-SQL databases, and big data tools.
• Experience contributing to research activities.

This is a permanent role based in Dublin/Cork

Is this you?

Please apply online on our website or via the apply link of this role. Your application will be sent through to our Talent Acquisition team and they will be in touch regarding your application.

We reserve the right to draw up a shortlist for interview.

The Bank understands the importance of a consistent and relentless focus on championing diversity and inclusion. We aim to attract, recruit, and retain individuals with diverse backgrounds, skills, competencies and abilities to work collaboratively to enhance the service we provide to all of our customers and the communities we serve.

We are seeking a talented individual to join our Cyber Data Engineering & Data Operations team at Marsh. This role will be based in Dublin, Ireland. This is a hybrid role that has a requirement of working at least three days a week in the office.

This role oversees the strategic development and execution of advanced analytics and machine learning initiatives to drive business growth and operational efficiency. The Cyber Data Engineering & Data Operations Leader collaborates closely with cross-functional leaders to identify high-impact opportunities, transform data into actionable insights, and develop predictive models that inform decision-making.

We will count on you to:

• Lead the design, development, and deployment of data solutions for the global Cyber practice to support new product development, research and development, insights / thought leadership, and reporting.
• Manage complex projects with direct reporting to senior management, ensuring alignment with business objectives and delivering measurable impact on product development, operational efficiency, and data monetization.
• Act as lead and mentor for a global team of direct and indirect reports performing data engineering and related data services, including establishing best practices, code reviews, and quality assurance standards.
• Collaborate with cross-functional teams across Marsh / MMC—including data scientists, product managers, and stakeholders—to optimize data collection, analysis, and monetization strategies.
• Define and implement reference architecture and data flow processes, ensuring efficient data management across organizational systems and transitions.
• Establish and enforce data governance, metadata management, and data quality standards to ensure data integrity, lineage, and compliance.

What you need to have:

• Proven experience in leading data engineering and data science teams, with a strong understanding of advanced analytics and machine learning.
• Expertise in designing and implementing data solutions, including data pipelines and machine learning models.
• Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels.
• Strong analytical and problem-solving skills, with a focus on delivering actionable insights and driving business performance.

What makes you stand out:

• Experience with data governance, data quality assurance, and ethical AI practices.
• A track record of driving innovation by evaluating, developing, and integrating new datasets to develop new revenue-generating products.
• Knowledge of emerging data technologies and trends, with the ability to recommend tools and practices to enhance organizational data capabilities.

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit , or follow on LinkedIn and X.

Marsh McLennan 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 to discuss any specific needs.

Marsh McLennan 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 McLennan 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.

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