Data Scientist
Fulltime - Permanent position
Hybrid 2/3 days onsite based in South Dublin.
Our High Profile Client seeks Data Scientist for their team.
Role Overview
* As a data engineer you'll be at the forefront of turning client data into a valuable asset in order to facilitate ambitious business growth and to influence strategic direction, collaborating with a team that values innovation and celebrates achievement.
* You will also be critical in harnessing the power of Artificial Intelligence in order to enhance business insights and operational capabilities.
* This is your opportunity to make a tangible impact, elevate your existing skills, and contribute to a culture that champions growth and inspires excellence. Embrace a dynamic environment where your ideas are not only welcomed but drive real change, and where each day brings new challenges and exciting opportunities for professional and personal development.
Key Responsibilities
* Data Pipeline Development:
Design, build, and maintain scalable and efficient data pipelines using Snowflake and Azure Data Services(e.g., Azure Data Factory, Azure Synapse).
* Data Engineering:
Develop and optimise ETL/ELT processes, ensuring data quality, integrity, and security across all stages of the data lifecycle.
* Advanced Analytics & AI:
Apply statistical analysis, machine learning, and AI techniques to extract actionable insights and solve complex business problems.
* Solution Design:-
* Collaborate with business representatives and Data Architect to assist in formulating technical designs from business requirements.
* Performance Optimisation:
Monitorand tune data systems for performance, scalability, and cost- effectiveness.
* Collaboration &Communication:
Work closely with data analysts and business teams to deliver data-driven solutions and communicate findings effectively.
* Documentation & Best Practices:
Maintain comprehensive documentation and promote best practices in data engineering, analytics, and AI.
Key Technical Skills & Experience
Technical Expertise:
* Proven experience with Snowflake (data warehousing, SQL, performance tuning).
* Experience in applying AI and machine learning frameworks.
* Strong proficiency in Azure Data Services(Data Factory, Synapse, Databricks, etc.).
* Advanced programming skills in Python and SQL.
* Familiarity with CI/CD pipelines and DevOps practices for data solutions.
* Data Engineering:
Solid understanding of data modelling, ETL/ELT processes, and data integration.
Experience with large-scale data processing and distributed computing.
* Analytics & AI:
Ability to design and implement advanced analytics solutions. Experience with feature engineering, model deployment, and monitoring.
* Cloud Platforms:
Hands-on experience with cloud-based data architectures, especially Azure.
* Soft Skills:
Strong problem-solving, analytical, and communication skills.
Ability to work independently and as part of a cross-functional team.
Desirable
* Strong experience with **Azure Data Factory** and **Snowflake** for data integration, ETL, and large-scale data management is strongly preferred.
* Experience with cloud-based data platforms (Azure, AWS, Snowflake).
* Knowledge of financial services products, processes, and regulatory requirements.
* Familiarity with agile project management and process improvement methodologies.