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In order to work in Ireland a non-EEA National, unless they are exempted, must hold a valid employment permit. Please review the Eligibility and requirements for an employment permit if you are unsure of your eligibility to apply for this vacancy. Location: Dublin-based with a hybrid model of 3 days on-site, 2 days work-from-home. Clear Strategy is a fast-growing Data Product and Services company, working with ambitious organisations to unlock the value of their data. 2025 and 2024 were big years for Clear Strategy as we made the Top 15 for two consecutive years at the Deloitte Fast 50 Awards, won the Snowflake ‘UKI Services Accelerator Partner of The Year’ award and received the Acquisition International Magazine ‘Sustained Excellence in Data Analytics & Consultancy Services Award. In January 2026, we have been named as Snowflake Elite Partner. Our goal is to accelerate even further in 2026. Our client base is spread across a range of different industries, and as we continue to build our team, you will have opportunities to influence and contribute to a wide variety of very interesting projects, while we continue to welcome skilled and motivated Professionals to join us on our journey. About the Role As a full-time Data & AI Engineer at Clear Strategy, your role will involve designing and implementing ETL solutions tailored to client needs. You will develop and deliver Data Warehousing and BI projects, working closely with client stakeholders to understand and translate their business requirements into effective technical solutions. Additionally, you’ll stay informed on market advancements, including AI and large language models (LLMs), to continuously enhance your expertise and contributions. You will also explore opportunities to integrate AI where it adds value to data-driven solutions for clients. Key Responsibilities 1-3 years Cloud BI and Analytics principles experience, with exposure to tools and technologies for analysing, designing, testing, and managing data platforms. Experience or coursework in data ingestion technologies, data warehouse concepts (ETL, OLAP, Dimensional Modelling, Star/Snowflake Schemas), and relational databases like SQL Server, Snowflake, or Oracle. Familiarity with SQL, ETL tools, and cloud platforms(Azure, AWS, GCP). Knowledge of Snowflake, Databricks, and Microsoft Fabric. Awareness of AI and machine learning concepts, with exposure to applying AI techniques to data projects or understanding their potential impact. Strong analytical and commercial mindset, capable of translating business needs into technical solutions. Awareness of how data models affect visualisation and an interest in developing dashboards to present insights to technical and business teams. Exposure to project lifecycles through coursework, internships, or personal projects (e.g., data conversion, testing strategies, or building end-to-end solutions). A desire to work in a client-facing role or previous internship experience in consulting. Degree in Data Science, Analytics, AI, Mathematics, Statistics, or Computer Science preferred. Salary: €36,605 - €37,500 per annum Hours: 37.5 hours per week, Monday to Friday. Please send your CV in PDF format to careers@clearstrategy.ie.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.