Data Platform Engineer
Reporting into the Data Platform Manager in Three’s IT & Networks department, the role holder will primarily be responsible for Data Science infrastructure, building out scalable code and managing deployments.
They will build and support Data Science models and be responsible for end‑to‑end deployments, develop ETL processes and reports, investigate and fix issues with data pipelines, provide actionable insights and add value to business.
They will champion the benefits of Data Science technologies owned by the Data and AI Tribe, and drive adoption of the tools by decision makers. They will coach and mentor others within the Data Management team and across the business.
As a key part of the Data and AI Tribe, the candidate will have the chance to make a difference to the business by helping design, build and manage common data platform components.
What else it involves:
Police standards across all technologies.
Manage GCP Cloud infrastructure.
Review, approve and deploy all Production changes (Models, Data Pipelines, etc).
Monitor, investigate, fix and tune Data Science Models and Data Pipelines.
Build scalable code using Python and SQL in Google technologies.
R&D future product releases in GCP.
Manage CI/CD Pipelines
Impact assessment and design specification of new requirements or changes to systems as required.
Challenge requirements to ensure purpose and value of data is clear.
Co‑ordinate efforts with external parties and internal stakeholders to manage the impact of changes and source issues on our outputs.
Collaborate with business owners, technology leads and Data and AI Tribe colleagues.
Mentor and challenge in‑house and 3rd party developers on Data Science Models and ETL best practice and ensure all relevant standards are met.
Extensive data interrogation and validation.
Feature engineering and development and maintenance of analytical datasets.
The skills we are looking for:
Ability to problem solve.
Data Science Model development experience.
Data Pipelines development experience (Google BigQuery and Datastage preferably).
Advanced knowledge of Python.
Advanced knowledge of SQL.
Manage and deploy CI/CD via GitLab/GitHub.
Strong technical writing – ability to document complex Data Science models, ETL pipelines clearly.
Very strong technical data development skills.
Knowledge and experience working in Unix and Windows.
Ability to communicate outputs and build relationships with stakeholders.
Passion for driving business value from innovative and efficient BI solutions.
Data Modelling, Data Architecture experience.
Excellent communication skills both written and verbal.
Reporting tool experience (Cognos 11 or PowerBI preferably).
Telco experience an advantage.
Benefits of Working at Three
Flexible working with our new Hybrid model – our employees will enjoy more flexibility working from home and our office locations (2–3 days per week office based).
Competitive salary, annual performance bonus & pension contribution.
25 days holidays plus 2.5 company days.
Annual Leave buy or sell (up to 5 days AL each year).
Healthcare insurance through our flexible benefits programme.
Life assurance, phone & laptop, subsidised canteen.
Access to learning & development tools such as LinkedIn Learning.
Free on‑site parking.
Three Ireland is proud to be an equal opportunities employer. We are committed to equal employment and growing a diverse workforce. We embrace those of any race, gender identity, sexual orientation, age, religion, disability, marital status, family status, civil status or membership of the traveller community, and we want our teams to reflect this.
If you require reasonable adjustments at interview, please let us know when scheduling your interview, or alternatively please email recruitment.support@three.ie.
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