Data Engineering Manager

Data Engineer Lead /Manager

Role Summary

The Data Engineering Manager is responsible for driving reliable delivery, improving engineering efficiency, and maximizing team productivity across data platforms and pipelines. This role combines hands-on technical leadership, strong execution management, and people leadership to ensure data solutions are delivered predictably, at scale, and with high quality.

The manager will lead a team of data engineers, own delivery outcomes, establish engineering best practices, and continuously improve velocity, reliability, and cost efficiency of data systems.

Key Responsibilities:

1. Delivery & Execution Excellence

• Own end‑to‑end delivery of data engineering initiatives, ensuring on‑time, on‑scope, and high‑quality execution.

• Ensure ≥85–90% sprint/iteration commitment completion, with minimal spillover.

• Proactively manage dependencies, risks, and capacity to avoid delivery surprises.

• Drive strong RAG discipline, ensuring projects move out of RED/AMBER states within defined timelines.

• Partner closely with Product, Analytics, and Platform teams to align priorities and execution plans.

2. Engineering Efficiency & Productivity:

• Improve team productivity and throughput by optimizing development workflows, tooling, and processes.

• Drive adoption of automation and AI‑assisted engineering practices to reduce manual effort and cycle time.

• Establish and track key metrics such as:

  • Pipeline reliability and SLA adherence

  • Incident rates and MTTR

  • Delivery predictability and velocity trends

  • Cost and resource utilization

• Continuously identify and eliminate bottlenecks across design, development, testing, and operations.

3. Technical Leadership & Quality:

• Provide technical guidance on data architecture, pipeline design, scalability, reliability, and cost optimization.

• Ensure data platforms meet defined SLAs for freshness, availability, and accuracy.

• Drive best practices for:

  • Data quality checks and validation

  • Monitoring, alerting, and observability

  • Documentation, runbooks, and operational readiness

• Review designs and critical implementations, ensuring solutions are robust, secure, and maintainable.

4. Team Leadership & People Management:

• Lead, mentor, and grow a team of data engineers across experience levels.

• Own goal setting, performance reviews, coaching, and development plans for team members.

• Build strong next‑level leaders and reduce single points of failure.

• Maintain a healthy team environment with high engagement, collaboration, and accountability.

• Support hiring and onboarding to close capacity or skill gaps in a timely manner.

5. Cost & Operational Ownership:

• Ensure data platforms and pipelines are cost‑efficient and right‑sized.

• Identify and deliver measurable cost optimizations (compute, storage, tooling).

• Balance performance, reliability, and cost trade‑offs with clear business justification.

6. AI & Automation Enablement:

• Drive safe and responsible adoption of AI‑assisted data engineering (e.g., AI‑driven debugging, documentation, data quality rule generation).

• Ensure at least 70%+ of the team actively uses approved AI tools to improve productivity.

• Track and report measurable efficiency or quality gains attributable to AI and automation initiatives.

Required Skills & Experience

Must‑Have

• 8+ years of experience in data engineering, with 2–4+ years in a people management role.

• Strong experience with data pipelines, ETL/ELT, batch and/or streaming systems.

• Proven track record of driving delivery predictability and team productivity.

• Hands‑on understanding of cloud data platforms, data warehouses, and orchestration tools.

• Experience defining and tracking engineering metrics (delivery, reliability, efficiency).

• Strong stakeholder management and communication skills.

Good‑to‑Have

• Experience with AI‑assisted development or automation in data engineering.

• Exposure to cost optimization strategies for cloud data platforms.

• Experience scaling teams or platforms in a multi‑project environment.

Education: 

• Bachelor’s/master’s degree in software engineering, Computer Science, or a related area 

Benefits:

• Hybrid working arrangements -4 days in a week

• Annual performance-related bonus

• 6x Flexi any days: knock 2.5 hours off your day on any day.

• Medical insurance coverage for extended family members.

• Engaging, fun & inclusive culture: check out the MRI Software APAC Insta feed and stories!

About Us

 

From the day we opened our doors, MRI Software has built flexible, game-changing real estate software that powers thriving communities and helps make the world a better place to live, work and play. Fulfilling that mission is only possible because of one thing: exceptional people. People like you!  

 

Our people-first approach to PropTech is defining a new industry standard for client experiences that, quite frankly, can’t be duplicated. Experiences that deliver real value every day. And we know those experiences begin with our people.  

 

We believe MRI is more than just a workplace; it’s a connected community of people who truly feel they belong. Whether we’re investing in employee resource groups or providing tailored resources for each person to reach their full potential, we’re passionate about creating a work environment that makes you excited to show up every single day.  

 

At MRI, one of our core values is to strive to amaze.  From the intelligent solutions we create to the culture we cultivate, that’s our goal every day. Because that’s what industry leaders do. Whether you’re joining as a new Pride member or rejoining us after a short time away, your talent is vital to us, our partners and our clients. 

 

Amazing growth requires amazing employees. Are you up to the challenge?   

We know confidence gap and imposter syndrome can get in the way of meeting remarkable candidates, so please don’t hesitate to apply. We’d love to hear from you!   

 

MRI is proud to be an inclusive employer. We welcome and celebrate diversity across all backgrounds, including ethnicity, religion, sexual orientation, gender identity, disability, age, military, veteran status and more. 

We believe that Belonging is a direct result of Diversity, Equity, and Inclusion. Those values are woven into the fabric of who we are and are foundational to our continued success. Come and see for yourself! 

Experience Level

Senior Level