Engineering Manager - Data Back End [T500-18824]

About REA Group:

In 1995, in a garage in Melbourne, Australia, REA Group was born from a simple question: “Can we change the way the world experiences property?”

Could we? Yes. Are we done? Never.

Fast forward 30 years, REA Group is a market leader in online real estate in three continents and continuing to grow rapidly across the globe. The secret to our growth is staying true to that ‘day one’ mindset; the hunger to innovate, the ambition to change the world, and the curiosity to reimagine the future.

Our new Tech Center in Cyber City is dedicated to accelerating REA Group’s global technology delivery through relentless innovation. We’re looking for the best technologists, inventors and leaders in India to join us on this exciting new journey.

If you’re excited by the prospect of creating something magical from scratch, then read on.

What the role is all about:

We are looking for an Engineering Manager with 9-16 years of experience to lead the Audience Data team within the Personalization & Privacy division of our Consumer Group. This team is tasked with managing a significant data asset comprising terabytes of user interactions from our website and apps. This data is crucial for our personalization efforts, machine learning, product insights and analytics, as well as customer reporting functions. You will collaborate closely with our AI team, providing rich datasets essential for developing predictive models and personalized recommenders to enhance the accuracy and effectiveness of our machine learning solutions. Additionally, these comprehensive datasets facilitate in-depth analysis and understanding of user behaviour, supporting data-driven decision-making across our business.

While no two days are likely to be the same, your typical responsibilities will include:

• End to end technical delivery of complex initiatives under our product management pipeline using agile methods and frameworks working with cross-disciplinary teams.
• Provide technical leadership and guidance to the team, serving as a subject matter expert in data engineering and related technologies.
• Contribute to the design and architecture of scalable, efficient, and secure data solutions, considering long-term scalability and maintainability.
• Provide guidance, support, and leadership to the team.
• Establish effective ways of working within and across teams.
• Embrace continuous learning, leveraging latest development trends to solve complex challenges.
• Drive delivery practices with Delivery Lead running agile scrum ceremonies and producing agile artefacts.
• Contribute to the adoption of best practices, coding standards, and engineering principles across the team to ensure a high-quality and maintainable codebase.
• Collaborate with the development team to implement shift-left testing practices, ensuring early and frequent testing throughout the development lifecycle.
• Conduct performance analysis, optimization, and tuning of data processing workflows and systems to enhance efficiency and meet performance targets.
• Support the team’s iterations, scope, capacity, risks, issues, and timelines.
• Participate in technical discussions, code reviews, and architectural reviews to maintain code quality, identify improvement opportunities, and ensure adherence to standards.
• Mentor and coach engineers, fostering their professional growth, assisting them in overcoming technical challenges and create a culture of quality and efficiency, leading to reduced time-to-market and enhanced product quality.
• Collaborate with stakeholders to define data governance policies, data quality standards, and data management processes.
• Drive continuous improvement initiatives, such as automation, tooling enhancements, and process optimizations, to increase productivity and operational efficiency.
• Act as a strong advocate for data-driven decision-making, promoting a data-driven culture within the organization.

Who we’re looking for:

• 9-16 years of experience working with platform and data engineering environments.
• Proven people leadership and mentoring experience
• Extensive experience in designing, coding, and testing data platform / management tools and systems.
• Excellent knowledge of software development principles and best practices.
• Proficiency in programming languages commonly used in platform and data engineering, such as Python, Java, or Go.
• Strong skills in analytical SQL.
• Experience with data engineering and any associated technologies such as dbt, Airflow, BigQuery / Snowflake, data lakes, Hive for ELT/ELT.
• Experience with data modelling methodologies like Kimball or Data Vault 2.0 preferred.
• Experience with Data Observability (Data Quality Monitoring) preferred.
• Exposure to, or knowledge of Kafka, Google Pubsub, Apache Flink (or Spark) and streaming SQL is preferred.
• Exposure to Linux and shell scripting.
• Experience with DevOps practices and techniques, such as Docker and CI/CD tools.
• Exposure to data management practices (data catalogues. data security)
• Excellent communication skills and the ability to collaborate effectively with business stakeholders and cross-functional teams.
• Ability to manage the competing demands of multiple projects in a timely manner.
• Effectively communicate complex solutions to audiences with varying technical backgrounds, fostering consensus and collaboration.
• Ability to work collaboratively and autonomously in a fast-paced environment.
• Willingness to learn new and complex technologies, and ability to share knowledge with the team.

Bonus points for:

• Experience in using and managing Cloud infrastructure in AWS and / or GCP.
• Experience with any Infrastructure as Code techniques, particularly Terraform.
• Exposure to platform engineering concepts or developer experience & tooling.

What we offer:

• A hybrid and flexible approach to working.
• Transport options to help you get to and from work, including home pick-up and drop-off.
• Meals provided on site in our office.
• Flexible leave options including parental leave, family care leave and celebration leave.
• Insurances for you and your immediate family members.
• Programs to support mental, emotional, financial and physical health & wellbeing.
• Continuous learning and development opportunities to further your technical expertise.

The values we live by:

Our values are at the core of how we operate, treat each other, and make decisions. We believe that how we work is equally important as what we do to achieve our goals. This commitment is at the heart of everything we do, from the way we interact with colleagues to the way we serve our customers and communities.

Our commitment to Diversity, Equity, and Inclusion:

We are committed to providing a working environment that embraces and values diversity, equity and inclusion. We believe teams with diverse ideas and experiences are more creative, more elective and fuel disruptive thinking - be it cultural and ethnic backgrounds, gender identity, disability, age, sexual orientation, or any other identity or lived experience. We know diverse teams are critical to maintaining our success and driving new business opportunities. If you've got the skills, dedication and enthusiasm to learn but don't necessarily meet every single point on the job description, please still get in touch.

REA Group in India:

You might already recognize our logo. The REA brand does have an existing presence in India. In fact, we set up our new tech hub in Gurugram to be their Neighbours!

REA Group holds a controlling interest in REA India Pte. Ltd., operator of established brands Housing.com, Makaan.com and PropTiger.com, three of the country’s leading digital property marketplaces.

Through our close connection to REA India, we’ve seen first-hand the incredible talent the country has to offer, and the huge opportunity to expand our global workforce. Our Cyber City Tech Center is an extension of REA Group; a satellite office working directly with our Australia HQ on local projects and tech delivery.

All our brands, across the globe, connect regularly, learn from each other and collaborate on shared value initiatives.