49 Cloud Data Engineer jobs in Ireland

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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