Data Architect

Cork
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Architect: DataOps, Cloud Analytics & Leadership

DataOps Engineer – Data Science Operations

Data Scientist, Machine Learning Engineer, Data Analyst, Data Engineer, AI Engineer, Business Intelligence Analyst, Data Architect, Analytics Engineer, Research Data Scientist, Statistician, Quantitative Analyst, ML Ops Engineer, Applied Scientist, Insigh

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Data Architect
Location: Cork
Salary: €(phone number removed)

Hybrid

Reperio are working with a major tech company who have significant plans to increase their headcount going into 2025. As part of this, they are seeking an experienced Data Architect to lead the design, strategy, and implementation of data architecture solutions. This will help to ensure data integrity, accessibility, and scalability across the organization. As part of this role, you will drive the implementation of modern data technologies, tools and cloud solutions as well as design, develop and maintain data pipelines and ETL processes.

Requirements:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
5+ years of experience as a Data Architect, or in a similar role.
Expertise in designing and implementing cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
Strong knowledge of data modelling, database systems (SQL/NoSQL), and data warehousing.
Experience with big data platforms and tools (e.g., Hadoop, Spark, Snowflake, Redshift).
Proficiency in ETL pipelines, data integration, and data transformation processes.
Understanding of data governance, data security, and compliance frameworks (e.g., GDPR, HIPAA).
Proficiency with programming and scripting languages such as Python, Java, or Scala.Benefits:

Pension
Health insurance
Bonus
Flexible hybrid working modelIf this role as a Data Architect interests and suits you, then apply using the link below. If you require any further information, get in touch with Jamie Sadlier at Reperio.

Reperio Human Capital acts as an Employment Agency and an Employment Business

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.