Data Engineer

Our Client

We power the future of Marketing and realise business value by applying human creativity to AI, data, and technology. Our expert consultants partner with leading brands to unlock the power of their enterprise data and transform their Marketing capabilities, building sustainable value in a privacy-respectful way. Integrating enterprise technologies, Google’s ecosystem, and our proprietary solutions to clients' first-party data, we create innovative solutions and unlock the power of AI, delivering tangible ROIs for our clients. Our expert consultants orchestrate Google Marketing and Google Cloud technologies to unlock ultimate AI-powered performance within our client’s organisation.

About the Role

As one of our Data Engineers, you will be part of a team responsible for the development and overall delivery of big data platform solutions, automation solutions and data AI Agents. You will be designing and proposing effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure for data collection, management, transformation, and access. You will work collaboratively with internal teams and clients to uncover their unique marketing challenges, business objectives, and current architectures. You will translate their needs into actionable product roadmaps that leverage Google Marketing Platform and Google Cloud solutions.

Responsibilities

• Lead the design, development, and optimization of scalable data pipelines using Python and GCP.
• Configure and manage complex integrations between Google Marketing Platform tools, Google Cloud Projects, and other marketing systems.
• Ensure data accessibility, privacy, and security by implementing client data policies and managing data access controls.
• Build and implement custom scripts or tools using APIs and data connectors to meet specific client needs.
• Creating automation and data AI agents for marketing analytics and user workflow solutions.
• Diagnose and resolve technical problems related to Google Cloud Platform setup, data flow, and reporting.
• Integrate with various marketing APIs, including Twitter/X, DV360, Google Ads, and Facebook, to extract and transform data for analysis.
• Develop and maintain data tools for paid media platforms and e-commerce, such as product feed management and bid optimization based on real-time data.
• Apply advanced data modelling techniques to identify key data aspects and categorise information effectively (e.g., customer names as strings, income/purchase as metrics, premium customer as a category).
• Collaborate with stakeholders to identify user pain points through quantitative and qualitative data, formulate hypotheses, and recommend actions to improve customer experience and web performance.
• Create comprehensive reports on data availability and enhance the presentation of availability information to customers.
• Utilize machine learning libraries for attribution and propensity modelling.
• Mentor junior data engineers and contribute to the overall data strategy.

Qualifications

• Extensive experience as a Data Engineer, with a strong background in data analysis and data science in digital marketing.
• Experience with creating AI Agents.
• Develop and maintain efficient data pipelines, ETL processes, and data warehousing solutions.
• Proficiency in Python and SQL.
• Demonstrable expertise in Google Cloud Platform (e.g., BigQuery, BQ Sharing (Analytics Hub), Cloud Functions, Dataflow, Looker Studio) to build scalable and secure data solutions. Other cloud-based technologies such as Windows Azure, AWS are desirable.
• Hands-on experience with marketing APIs: Google Marketing Platform, Google Ads, Social platforms.
• Familiarity with Google Marketing Products integration, including Google Analytics, CM360, SA360, and DV360.
• Experience with attribution modelling and propensity modelling.
• Understanding of paid media campaign insights and optimization.
• Proven ability in customer segmentation, profiling and activation.
• Collaborate with marketing teams to design and implement targeted customer segmentation and activation strategies.
• Google Cloud Certified Professional Data Engineer certification is highly desirable.

If this of interest to you then please contact me for more details.