Data & AI Engineer

2 weeks ago

Dublin, Ireland Clear Strategy Full time

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

Role type:

Hybrid

Full-Time

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.

About Us

2024 was a big year for Clear Strategy as we made the Top 10 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. Our goal is to accelerate even further in 2025, and we are looking for skilled and motivated Data & AI Engineers to join us on our journey.

The Opportunity

Serving clients across various industries, you’ll have the opportunity to work on diverse and impactful projects in a dynamic environment. If you're passionate about data & AI, this role is an exciting opportunity to grow your career. The ideal candidate will have at least 1 year of experience, but we are also open to smart and ambitious graduates.

Required Qualifications / Skills (expectations will vary based on your level of experience):
Key Skills (expectations vary based on level of experience):
  1. Understanding of Cloud BI and Analytics principles, with exposure to tools and technologies for analysing, designing, testing, and managing data platforms.
  2. 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.
  3. Familiarity with SQL, ETL tools, and cloud platforms (Azure, AWS, GCP) is advantageous. Knowledge of Snowflake is a bonus.
  4. Awareness of AI and machine learning concepts, with exposure to applying AI techniques to data projects or understanding their potential impact.
  5. Strong analytical and commercial mindset, capable of translating business needs into technical solutions.
  6. Awareness of how data models affect visualisation and an interest in developing dashboards to present insights to technical and business teams.
  7. Exposure to project lifecycles through coursework, internships, or personal projects (e.g., data conversion, testing strategies, or building end-to-end solutions).
  8. A desire to work in a client-facing role or previous internship experience in consulting is a plus.
  9. Degree in Data Science, Analytics, AI, Mathematics, Statistics, or Computer Science preferred.
About You

We are looking for someone who is keen to be part of the journey of a growing company, who has the drive and determination to solve problems and deliver results.

There are 5 key behaviours we deem as crucial for being successful in our team:

  1. Collaboration: Working well within teams, supporting colleagues and displaying empathy and compassion.
  2. Sense of Ownership: Taking pride in your work and being accountable for successes and failures.
  3. Learning Mindset: Being curious and proactive when it comes to learning and improving oneself.
  4. Commercial Mindset: Understanding the bigger picture of what we do and approaching situations with a focus on client satisfaction and business success.
  5. Cultural Contribution: Contributing to a positive culture at Clear Strategy, getting involved in internal initiatives.

If this sounds like the role for you, please send your CV to careers@clearstrategy.ie.
If you require any reasonable adjustments to the recruitment process, please let us know.

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