Our Martech team is dedicated to transforming our marketing technology platform. By leveraging AI, automation, and cutting-edge technological advancements, we aim to enhance platform efficiency and deliver high-quality, low-maintenance engineering solutions for our customers. You will be part of a team that collaborates across global hubs to drive innovation and efficiency in our Martech initiatives.
At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 34 markets and with 55 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.
What role will you play?
As an experienced Lead Data Engineer, you will lead our Martech epics and transform our Martech platform. You will guide our team of data engineers, coordinating requirements, schedules, and activities to enhance platform efficiency. Your role will involve designing, developing, and conducting peer code reviews, as well as developing engineering solutions using dev-ops and configuration-driven frameworks.

What you offer

• 5+ years of enterprise engineering experience working in a mature cloud environment, preferably in GCP.
• Strong Data Architecture expertise in using different techniques for building optimized Data models, ERD and schemas by translating business needs.
• Solid experience in authoring complex SQL queries, CTEs, Data Definition Language (DDL) and performance optimizations
• Proven experience in building and deploying data lakes and data warehouses on GCP using services such as BigQuery, Cloud Spanner, Cloud Functions, and GCS.
• Strong hands-on coding ability in Python, with experience in developing code-based ETL/ELT data pipelines and performance-optimised data modelling.

• Experience with working on real-time data streaming services like Pub/Sub or Kafka, and familiarity with orchestrating data pipeline workflows using Dataform.Strong knowledge of data governance areas such as data lineage, technical metadata, data quality, and reconciliation, with the ability to drive platform efficiency by extending our automation and AI capabilities.

• We love hearing from anyone inspired to build a better future with us, if you’re excited about the role or working at Macquarie we encourage you to apply.
  About Technology
  Technology enables every aspect of Macquarie, for our people, our customers and our communities. We’re a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow’s technology solutions.
  Our commitment to diversity, equity and inclusion
  We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. To learn more, contact our team by clicking here.
  Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process

Please refer the Job description for details