Senior Backend Data Engineer

Unlock the Power of Data to Drive Success

We are seeking a Senior Backend Engineer to play a pivotal role in the evolution of our reporting and analytics platform. This critical project involves rearchitecting our existing system to leverage a modern reporting paradigm and introduce technologies that will allow us to scale reporting to large data sets (300 million data points per customer). As a senior engineer, you will design scalable data pipelines, implement pre-calculation strategies, and enable dynamic custom reporting capabilities for our clients.

This position requires a blend of deep technical expertise, strategic vision, and hands-on engineering skills to ensure the successful delivery of this architecture transformation. You'll collaborate with product managers, engineers, data engineers, data scientists, and stakeholders to create a robust, high-performing solution that meets our customers' evolving reporting needs.

• Drive Architectural Design: Design, build, and maintain a reporting platform that integrates with high-volume database technologies and provides custom BI capabilities, ensuring scalability, performance, and reliability.
• Develop and Optimize Data Pipelines: Create data transformation pipelines to summarize and pre-calculate large volumes of data for efficient querying and reporting.
• Ensure High Standards of Quality: Maintain robust testing and CI/CD pipelines, write high-quality and secure code, and implement QA best practices.
• Solve Complex Problems: Confidently debug and optimize complex issues across services, data pipelines, and the stack.
• Technical Leadership: Provide architectural direction, make pragmatic decisions on technical trade-offs, and mentor team members.
• Stakeholder Collaboration: Work closely with the product team to define, refine, and deliver user stories that translate into impactful reporting features.

• Proven Experience in Data-Intensive Systems: Strong track record in designing and building reporting systems, including data pipelines, TSDB/OLAP, or similar architectures.
• Expertise in Backend Development: Experience building APIs and services, preferably in Ruby, but open to other languages with the ability to quickly learn new ones.
• Data Engineering Knowledge: Familiarity with ETL pipelines, data modeling, and pre-aggregation techniques to handle large datasets.
• Analytical Thinking: Ability to debug, optimize, and solve problems across complex systems and services.
• CI/CD and Testing: Deep understanding of CI/CD pipelines and testing frameworks to ensure the reliable delivery of high-quality software.
• Leadership and Collaboration: Experience guiding technical projects, mentoring engineers, and collaborating across teams.

• Experience with time-series databases or scalable analytics platforms.
• Knowledge of business intelligence tools for custom report development.
• Hands-on experience with AWS services for data processing and secure storage.
• Familiarity with AI/ML tools and workflows, particularly in the context of data analytics and reporting.
• Strong understanding of database optimization, caching strategies, and performance tuning.

We offer a competitive salary, meaningful equity, pension plan, fully paid health insurance, life assurance, wellness perk, and flexible workplace options.

Our Dublin office is located in the impressive CHQ Building, a 2-minute walk from Connolly train station, and very close to all major bus routes and both Luas lines. We're also on the doorstep of many shops, restaurants, bars, and cafes.

We are committed to hiring people with diverse backgrounds and do not discriminate based on age, civil or family status, disability, ethnicity, gender, race, religion, or sexual orientation.