Data & AI Engineer

Location: Dublin-based, with a hybrid model of 3 days on-site (either in our Dun Laoghaire office or at client locations).

Role type: Hybrid working. Full-Time, Permanent

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.

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.

Understanding of Cloud BI and Analytics principles, with exposure to tools and technologies for analysing, designing, testing, and managing data platforms.

Some 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 is a strong plus.

Familiarity with SQL, ETL tools, and cloud platforms(Azure, AWS, GCP) is advantageous. Knowledge of Snowflake, Databricks, and Microsoft Fabric are a bonus.

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 is a plus.

Degree in Data Science, Analytics, AI, Mathematics, Statistics, or Computer Science preferred.

‍If you require any reasonable adjustments to the recruitment process, please let us know.