WPP13 followers49 jobs

Lead Data Engineer

SeniorFull-timeHybridSydney NSW, AustraliaDataPosted 3 weeks agoVerified 3 weeks ago
Pending fitX of Y criteria met

About the job

The Lead Data Engineer at WPP Media is a pivotal job that drives the strategic development of cloud engineering capabilities and builds data infrastructure that delivers measurable outcomes for clients. This position is essential in transforming the value of data for agencies and clients across the marketing ecosystem. The team thrives on collaboration, innovation, and a commitment to excellence, ensuring that every member contributes to the collective success.

Meet the team

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Think you're a good fit?See what the hiring team are looking for

You'll be responsible for

🔧

Leading cloud engineering solutions

Leads the design and build of complex cloud engineering solutions across a range of media use cases, from digital analytics and data warehousing through to machine learning, generative AI and marketing mix modelling.
🤝

Collaborating with teams

Collaborates across Business Intelligence, Marketing Science, architecture and project management teams to translate business needs into robust technical specifications and solutions.
🌱

Mentoring the engineering team

Plays a central mentoring and coaching role within the data engineering team, guiding professional development and upholding high standards of collective output.

Key criteria

☁️

Google Cloud Platform expertise

Extensive experience designing and building GCP solutions for marketing analytics.

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📊

Data warehousing and ETL skills

Deep expertise in data warehousing principles and ETL development.

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🐍

Proficiency in Python and SQL

Strong skills in Python, Apache Airflow, and SQL for production-grade solutions.

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A meaningful career starts with a match

View your fit

5 criteria for this job
Google Cloud Platform expertise
Extensive experience designing and building GCP solutions for marketing analytics.

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Data warehousing and ETL skills
Deep expertise in data warehousing principles and ETL development.

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Proficiency in Python and SQL
Strong skills in Python, Apache Airflow, and SQL for production-grade solutions.

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CI/CD and DevOps knowledge
Solid understanding of CI/CD pipelines and DevOps best practices.

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Effective communication skills
Proven ability to convey complex technical concepts across teams.

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