Lead Data Engineer
Summary
Lead Data Engineer at Aon's ACIA innovation hub in Singapore, designing scalable data architectures and building Databricks/Apache Spark ETL/ELT pipelines alongside actuaries, analysts and architects. Core stack: Databricks, Spark/PySpark, Python, SQL, Terraform, and AWS or Azure cloud data services.
How This Opportunity Is Different We are seeking a highly skilled
Lead Data Engineer
with deep expertise in
Databricks
and
Apache Spark
to lead the design and implementation of data architectures that support our data-driven initiatives. This role is perfect for someone who is a great team mate, keen to learn new skills, and has a meticulous eye for data. You will work with a team of experienced actuarial analysts, architects, developers, and business resources to build databases, warehouses, and ETL/ELT pipelines to fuel modern web applications and visualizations. Skills And Experience That Will Lead To Success 8+ years of total experience working with data integration teams. 5+ years of experience in data architecture, database design, and data management 4+ years of in-depth experience developing data pipelines within an Apache Spark environment (preferably Databricks). 3+ years of active hands-on work with Databricks, demonstrating in-depth experience. Strong hands-on knowledge on Pyspark, Python and SQL and distributed computing principles. Experience in tuning spark jobs for performance and cost, addressing complex issues such as data skew, shuffle inefficiencies, and memory leaks, etc. Strong knowledge of data modelling, database technologies, data warehousing. Experience with ETL/ELT processes and tools. Knowledge of cloud platforms (Aws or Azure) and big data technologies (Hadoop, Spark, etc.) Understanding of data governance, security, and privacy frameworks. Experience with BI and analytics tools like Power BI or Tableau. Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
Nice To Haves Experience integrating AI into data engineering. Certifications in Databricks, cloud computing or database management. Experience developing data solutions using native IaaS and PaaS solutions on AWS (RDS, S3). Experience in any object-oriented programming language.
How We Support Our Colleagues In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two 'Global Wellbeing Days' each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working! Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued. Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace. Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email (HIDDEN TEXT) 2559015