This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in Ireland.

This role sits at the core of a fast-scaling global data ecosystem, focused on building and optimizing high-performance data platforms that power analytics and business decision-making. You will design and maintain modern data pipelines supporting large-scale, distributed systems with a strong emphasis on reliability and scalability. The environment is highly international, remote-first, and collaboration-driven, bringing together diverse engineering and analytics teams. You will play a key role in shaping data architecture practices, including the implementation of Medallion architecture. This position offers the opportunity to work with cutting-edge data stack technologies and contribute directly to data-driven product evolution. Your work will have a tangible impact on improving data quality, accessibility, and business insights across global products.

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Accountabilities:

Design, develop, and maintain scalable data pipelines using tools such as Airflow, Airbyte, DBT, and Snowflake
Implement and evolve Medallion architecture (bronze, silver, gold layers) to structure enterprise data efficiently
Build and optimize ETL/ELT workflows integrating data from multiple sources, including SQL, NoSQL databases, and APIs
Improve data modeling practices, ensuring consistency, reliability, and high data quality standards
Monitor, troubleshoot, and optimize pipeline performance to ensure robustness and efficiency
Collaborate closely with data analysts, product, and business teams to translate data into actionable insights

Requirements:

Strong proficiency in SQL and Python for data engineering and pipeline development
Hands-on experience with DBT, including models, macros, tests, and snapshots
Solid knowledge of Snowflake or similar cloud data warehouse solutions
Proven experience designing and building scalable data warehouses and data pipelines
Strong understanding of data modeling concepts such as star and snowflake schemas
Ability to work in cross-functional, remote, and fast-paced environments with strong communication skills

Benefits:

Fully remote full-time opportunity with global flexibility
27 paid working days off per year with full compensation
10 paid sick days per year with partial compensation
Provision or reimbursement of technical equipment (laptop, peripherals, etc.)
Access to professional and personal development courses upon request (Coursera)
1-to-1 language learning sessions available via Preply
Referral bonus program up to 5,000 EUR
After 3 months: home office setup budget up to 1,000 EUR (renewable every 3 years)
Annual wellness budget up to 2,800 EUR for healthcare, fitness, or wellness services

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How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Senior Data Engineer

Benefits

Job Description