Data Platform Engineer

Three Ireland; Dublin; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid working model

Competitive salary

Pension contribution

Annual Leave buy/sell

Healthcare Insurance

Learning & development tools

Free on-site parking

Job summary

Three Ireland is seeking a Data Platform Engineer to design, build and maintain data infrastructure that powers analytics and BI across the business.

You will deploy scalable data pipelines, collaborate with the Data and AI Tribe, and enhance data tooling and processes in a hybrid environment.

Qualifications

• Experience building Data Science infrastructure and end-to-end deployments.
• Ability to develop ETL processes and data pipelines.
• Strong Python and SQL skills with cloud experience.

Responsibilities

• Build and support Data Science models and end-to-end deployments.
• Develop ETL pipelines and reports for actionable insights.
• Coach and mentor Data Management team and stakeholders.

Skills

Data pipelines

Python

SQL

BigQuery

Datastage

CI/CD

GitLab/GitHub

Unix/Windows

Stakeholder communication

PowerBI/Cognos

Tools

GitLab

GitHub

GCP

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 (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 Coursera
• Free on-site parking

There’s a lot more to us than meets the eye.

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

At Three, we are committed to equity, diversity and inclusion. As Ireland’s largest mobile telecommunications provider, we provide a better connected life for our diverse customer base, and want our teams to reflect this. We welcome and celebrate all identities and strive to create a culture of belonging where employees can thrive as their authentic selves. If you do not ‘tick every box’ in this job description, you likely have other valuable skills that would make you a great fit for one of our teams.

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