Junior Data Engineer

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About GeoDirectory

GeoDirectory is Ireland’s trusted source for geocoded postal building data, setting the national standard for accurate addressing. Established in 1999 as a joint venture between Tailte Éireann and An Post, GeoDirectory operates from its headquarters in the historic GPO on O’Connell Street, Dublin 1.

Over the past few years, GeoDirectory has expanded significantly—both in the range of products and services we offer and in the markets we serve. Our team is dynamic, highly skilled, and driven by a culture of growth and innovation, where personal development and company success go hand in hand.

We work with a diverse portfolio of blue-chip clients across multiple sectors—including utilities, emergency services, transport, insurance, banking, and government agencies—helping them accurately locate and validate any address in Ireland.

Job Overview

GeoDirectory is expanding its data engineering team and seeking a committed, motivated individual eager to learn and grow. This role offers a structured development path, and opportunities to progress into advanced data engineering and machine learning domains.

The successful candidate will have a foundational understanding of database architecture and SQL, with a strong desire to deepen technical expertise and contribute to innovative data solutions.

What to expect first year?

Your first year at GeoDirectory is all about building strong foundations, gaining hands-on experience, and progressively taking on more responsibility as you grow into the role. Below are the key milestones for your first 12 months, designed to give you a clear picture of your learning journey and growth within the role.

First 3 Months

• Training & Onboarding
• Understand GeoDirectory’s organisational structure and product offerings.
• Gain familiarity with Oracle SQL and Postgres environments.
• Learn internal ETL processes and data governance standards.
• Deliverables
• Complete SQL query optimization tasks under supervision.
• Document existing data flows and propose minor improvements.

6 Months

• Skill Expansion
• Develop intermediate Python scripts for data transformation.
• Begin working on small-scale ML data preparation tasks.
• Collaborate with analysts and product managers on data-driven projects.
• Deliverables
• Build reusable Python utilities for ETL.
• Contribute to departmental dashboards and reporting automation.

12 Months

• Advanced Development
• Lead development of robust data pipelines integrating multiple sources.
• Apply ML techniques for predictive modelling in collaboration with Data Science team.
• Mentor new team members and contribute to architectural decisions.
• Deliverables
• Deliver production-ready pipelines.
• Implement ML-driven enhancements to data quality and forecasting.

Why Join GeoDirectory?

• Structured Growth: Clear milestones and continuous learning opportunities.
• Cutting-Edge Tools: Exposure to Oracle SQL, Python, ML frameworks, and cloud technologies.
• Collaborative Culture: Work closely with product, analytics, and compliance teams.

Key Competencies

• Analytical thinking and effective decision-making.
• Awareness of both internal and external environments
• High attention to detail and accuracy.
• Build and maintain effective relationships
• Strong documentation and communication skills.

Requirements

• Relevant experience in data engineering or related role. 1 Year experience is preferrable.
• Strong SQL skills (Oracle and Postgres; PL/SQL, complex queries, optimizations).
• Ability to use Python for data engineering and ML tasks (Pandas, PySpark preferred).
• Strong analytical and numerical skills with attention to detail.
• Degree in Computer Science, IT, or related field.
• Knowledge of data warehousing concepts and pipeline design.
• Experience with Azure or other cloud platforms desirable.
• Excellent communication and collaboration skills.

Key Responsibilities

• Collect, interpret, and analyze data from multiple sources.
• Evaluate business needs and translate them into data solutions.
• Develop and optimize SQL queries, stored procedures, and ETL processes.
• Build reusable Python scripts for data preparation and ML modeling.
• Prepare data for prescriptive and predictive analytics.
• Combine raw information from diverse systems into structured datasets.
• Explore ways to enhance data quality and reliability.
• Maintain and document datasets for internal and external use.

Job Type: Full-time

Pay: From €40,000.00 per year

Benefits:

• Bike to work scheme
• Company pension
• Sick pay
• Work from home

Experience:

• IT: 2 years (preferred)

Work Location: Hybrid remote in North Wall Quay Dublin 1, CO. Dublin