Data Platform Engineer

Three Ireland; Dublin; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working model

Competitive salary

Annual performance bonus

Pension contribution

Healthcare insurance

Learning & development tools

Free on-site parking

Job summary

Three Ireland is seeking a Data Platform Engineer to join the Data and AI Tribe. You will build scalable data pipelines, deploy models, and oversee ETL processes that deliver actionable business insights.

Reporting to the Data Platform Manager within IT & Networks, you’ll mentor teammates and drive adoption of data science tools while collaborating with business owners and tech leads across the organisation.

Qualifications

• Ability to problem solve and translate data into actionable insights.
• Experience building and deploying data pipelines (BigQuery, Datastage).
• Strong Python and SQL skills with ability to document work clearly.

Responsibilities

• Develop and maintain Data Science infrastructure and deploy end-to-end models.
• Build ETL processes and reports; troubleshoot data pipelines and analyses.
• Champion Data Science tools within the Data and AI Tribe and mentor others.
• Collaborate with stakeholders to design scalable data platform components.

Skills

Problem solving

Data pipelines

Python

SQL

CI/CD (Gitlab/GitHub)

Technical writing

Unix/Windows

Stakeholder communication

BI tooling knowledge

Tools

Google BigQuery

Datastage

Gitlab

GitHub

Cognos 11

Power BI

Job description

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.
• 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 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.
• 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). Please see job description for the office location of this role
• Competitive salary, annual performance bonus & pension contribution
• Annual Leave buy or sell (buy or sell up to 5 days AL each year)
• Healthcare Insurance through our flexible benefits programme
• Access to learning & development tools such as LinkedIn Learning
• Free on-site parking

You may think you know us, but we’re full of surprises. Intrigued? Join us and Be Phenomenal.

Three Ireland is proud to be an equal opportunities employer. If you do not ‘tick every box’ in the job description above, there are likely other valuable attributes and skills you have that would make you a great fit for the team. If you feel this role is for you, then We are committed to equal employment and growing a diverse workforce.

If you require reasonable adjustments at interview, please let us know when scheduling your interview, or alternatively please email [e-mail]