Senior Data & AI Engineer

Clear Strategy; Dublin; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Clear Strategy, a Dublin-based Data Product and Services company, seeks a Senior Data & AI Engineer to design and implement ETL solutions at client sites, develop data warehousing and BI projects, and guide best practices in data ingestion and management.

You will work with cloud platforms (Azure/AWS/GCP), build scalable data pipelines, create insightful visualisations, and collaborate with stakeholders to translate business needs into technical solutions.

Qualifications

• Bachelor-level degree required or equivalent experience.
• Strong SQL and data modeling skills essential.
• Experience with cloud-based data platforms and ETL tooling preferred.

Responsibilities

• Design and implement ETL solutions at client sites.
• Develop data warehousing and BI projects and guide best practices.
• Translate business needs into scalable technical solutions and visualisations.

Skills

SQL

Python

R

Data Warehousing

ETL

Cloud platforms

Data Modeling

Data Visualization

Stakeholder Management

People Management

Education

Bachelor’s degree in Computer Science, Data Science, Statistics, Economics, or related field

Job description

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

Role type:

-

Full-Time, Permanent

About ClearStrategy

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 ourjourney.

About theRole

As an experienced Senior Data & AI Engineer, you will be responsible for client interaction, technical design and implementation of ETL solutions at client sites. You will develop and implement various Data Warehousing and BI projects, implement best practices from ETL architectural design through guiding our clients on best practices around data ingestion and data management.

The ideal candidate will have practical experience in several Data Warehouse technologies as well as experience using the latest Cloud technologies. We are looking for a self-starter who loves to continually evaluate new technologies, innovate, educate, and collaborate, all to deliver critical services that help our clientssucceed.

You will play a key role in transforming data into actionable insights for our clients. You will work closely with stakeholders to understand business needs, gather and analyse complex datasets, and develop clear, compelling visualisations and reports. You'll support the delivery of datadriven strategies by identifying trends, uncovering opportunities, and enabling smarter decisionmaking. This role requires strong analytical thinking, attention to detail, and a passion for turning data into value. You’ll be part of a collaborative team helping clients unlock the full potential of theirdata.

The role will be Dublin-based and will be a mix of remote working, work at our offices in Dun Laoghaire and onsite work at customer sites inDublin.

Key Skills

• Bachelor’s degree in Computer Science, Data Science, Statistics, Economics, or relatedfield
• 5+ years of experience in a Senior Data & AI Engineer or similar role, with People Management experience essential
• Minimum 5 years Development experience in ETL, SQL Programming, systems integration and Data Platform environments, at least 3 years’ of which are in Cloud Modern Data Platforms on Microsoft Azure, AWS,GCP
• You have hands‑on experience in the analysis, planning, designing, testing, deploying, and administration of complex Cloud BI and Analytics environments
• You have strong experience with Cloud Data Platform Architectures
• Experience in data management frameworks; Data Quality Profiling, Metadata Management, Master Data Management, cleansing/standardising andanalysing
• Experience in manipulating and analysing complex, high‑volume, high‑dimensionality data from varying datasources
• Demonstrable experience working with relational database technologies, e.g. MS SQL Server, Teradata, Snowflake, Databricks, Oracle
• Comfortable in the use of Data visualisation software and good understanding of how data model designs influence data visualisation
• A track record of successfully delivering analyticsprojects
• Experience in manipulating and analysing complex, high‑volume, high‑dimensionality data from varying datasources
• Proficiency in SQL and one or more analytics language (Python,R)
• Experience with data ingestion technologies, data warehouse concepts (ETL, OLAP, Dimensional Modelling, Star/Snowflake Schemas), and relational databases like SQL Server, Snowflake, orOracle
• Hands‑on experience building and operating data pipelines and / or transforming data using Microsoft Fabric for data ingestion, transformation, storage and reporting.
• Strong understanding of AI and machine learning concepts, with exposure to applying AI techniques to data projects or understanding their potentialimpact
• Strong analytical and commercial mindset, capable of translating business needs into technical solutions
• You have strong Data Platform and Data Modelling experience – cloud and on‑premise – including OLAP, Star/Snowflake Schemas, Dimensional Data Modelling, Fact & Dimension tables, Physical and Logical DataModelling
• You have awareness of emerging data platform design approaches and the potential future impact to data platform architecture
• You can communicate clearly with business customers and senior leaders translating business requirements to technical specifications
• You can design and develop systems from business requirements analysis through implementation and ongoingsupport.
• You can drive clarity of purpose and goals during release and planning activities.