- Data Engineer/Analytics Engineer at ErnieApp

ErnieApp Ltd.; Dublin; On-site; EUR 90,000 - 140,000; Full time

Job summary

ErnieApp Ltd. in Dublin 2 seeks a Senior Data Engineer / Analytics Engineer to modernize analytics infrastructure.

The role focuses on migrating reporting workloads to a modern data platform, reverse-engineering existing logic, and shaping scalable data architectures while aligning with business goals. You will design robust ETL/ELT pipelines, consolidate reporting requirements, and enable non-technical users to access insights via BI tools.

Qualifications

• Strong analytical mindset and ability to distill complex logic into clean data models.
• Excellent communication skills to work across technical and non-technical audiences.
• Hands-on experience with modern data architecture and cloud-native platforms.

Responsibilities

• Reverse-engineer KPI queries and reporting logic from production databases.
• Design and implement a scalable, cloud-based analytics platform with ETL/ELT pipelines.
• Ensure data discoverability and usability for BI users across the business.
• Collaborate with technical leads, product managers, and marketing to deliver actionable insights.

Skills

Advanced SQL

Data modeling

ETL/ELT design

Cloud architecture

Communication

Tools

AWS Redshift

AWS Glue

AWS Athena

AWS QuickSight

ETL tools

Job description

Apply for - Data Engineer/Analytics Engineer at ErnieApp in DUBLIN 2, D, IE.

This Full time on site position offers great opportunities for career growth.

Seniority Level: Senior – capable of independently leading initiatives, influencing data strategy, and delivering measurable business impact.

Employment Type: Consultant – Remote (CET, GMT) – Full-time Compensation: Market based (Annual, Perf Bonus and Stock Option)

About the role

We are looking for a talented Data engineer / Analytics Engineer to modernize our analytics infrastructure by migrating complex reporting workloads from production systems to a modern analytics platform. You will play a key role in reverse-engineering existing reporting logic, gathering business and technical requirements, and designing a scalable and future-proof data architecture using components of the Modern Data Stack. This role involves close collaboration with technical leadership and business stakeholders to ensure alignment between analytical capabilities and strategic objectives.

What You’ll Do

Reverse-engineer existing SQL queries used for KPI and user behaviour tracking from our production operational databases. Analyze and consolidate reporting requirements, leveraging application documentation, live queries, and event data (e.g. Firebase). Design and implement a robust, cloud-based analytics platform, including scalable ETL/ELT pipelines and well-structured data models. Ensure data discoverability and usability by enabling intuitive reporting solutions for non-technical users (e.g., through BI tools). Collaborate with technical leads, product managers, and marketing teams to deliver actionable insights that support decision-making.

What You Bring

Strong analytical mindset and ability to distill complex logic into clean, reusable data models. Excellent communication skills to work effectively across technical and non-technical audiences. Initiative-driven: able to identify opportunities for improvement and propose effective solutions. Strategic thinker with hands‑on execution capabilities and ownership mindset. Solid experience in modern data architecture, including cloud-native data platforms or Data Lakehouse solutions. Proficiency in advanced SQL, with proven experience optimizing complex reporting queries. Deep knowledge of AWS-based analytics tools (e.g. Redshift, Glue, Athena, QuickSight) or equivalent cloud services. Hands‑on experience designing and maintaining ETL/ELT workflows using modern orchestration tools. Familiarity with event‑based data sources, such as Firebase Analytics, and how to integrate them into analytics pipelines.

Why Join Us

This is a unique opportunity to shape the future of data within our organization, laying the foundation for a scalable, transparent, and reliable analytics environment. You’ll work alongside skilled engineers and business experts, in a culture that values autonomy, innovation, and impact. Your contributions will directly influence our product growth and strategic direction.