Data Platform Engineer

In our world things change by the millisecond We build the technology that creates amazing moments and better connects our customers. Ready to play your part? Join us and Be Phenomenal. Working towards the same shared goal of better connectivity, our tech teams enjoy a high degree of freedom. We love hearing ideas and seeing them come to life. With great resources, you’ll get to be part of a team at the foundations of the transformation of our business. Who knows what the next innovation will be? That’s what makes a career at Three so exciting. Since we set foot in Ireland, we’ve done things differently Investing in infrastructure, we built a network that now connects 2.2 million customers nationwide, carrying more data than all alternative telecommunications providers combined. We take the script and rip it up, we’re a big-hearted energetic bunch, striving for a better connected life. We encourage our employees to face their weaknesses, to really open themselves up to new tasks and projects in a super-charged and rich learning environment. We want you to become the best version of yourself. Join us as a 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, they will develop ETL processes and reports, investigate and fix issues with data pipelines and analysis that give actionable insight and add value to our 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 in Three, 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 are: 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 DataScience models, ETL pipelines clearly Very strong technical data development skills. Knowledge and experience working in Unix and Windows. Ability to communicate outputs and to 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