Senior Marketing Analytics Engineer
1 week ago
Full time
Description About Us Acceleration is a specialist practice for data, analytics & technology consulting. We are a curious team of highly skilled data and technology practitioners, inspired by experimentation and new ideas.
We deliver future-forward solutions that empower our clients to compete every day in a dynamic environment. Our expertise includes media effectiveness, expert consultancy services, and a deep bench of specialised skills.
The Role We seek a skilled Senior Marketing Analytics Engineer to design and build Marketing Analytics, Data Analytics, and Machine Learning solutions on Google Cloud Platform for GroupM clients.
You will collaborate with our internal consulting team and client stakeholders to deliver innovative solutions across large financial services and fast food clients.
Ideal Candidate The ideal candidate is a passionate and hands-on Senior Marketing Analytics Engineer with a proven track record of building robust data pipelines on Google Cloud Platform. They possess a deep understanding of data warehousing principles and proficiency in developing ETL processes using BigQuery, Dataflow, and Cloud Composer.
Experience with marketing technology data, such as CRM, advertising platforms, and web analytics, is highly desirable. This individual is comfortable working with large datasets, optimizing query performance, and ensuring data quality.
Responsibilities Design and build Google Cloud Platform solutions in Marketing Analytics, Data Analytics, and Machine Learning specialisations Delivery of engineering projects, including setting up data pipelines, data warehouses, cloud infrastructure, and integrations Work closely with colleagues and clients to understand business needs and translate requirements into technical solutions Develop and maintain infrastructure as code (IaC) to support continuous delivery and deployment Designing, implementing, and maintaining scalable cloud-based systems and applications Participate in the development of technical documentation and project plans Collaborate with cross-functional teams, including architects and project managers, to ensure successful delivery of projects Identify and implement best practices for cloud security, reliability, and performance Continuously improve your skills and stay up-to-date with industry trends and best practices Requirements Candidates will have at least 4+ years' experience delivering data engineering solutions on Google Cloud Platform. We look for individuals who are self-starters, with a positive and forward-thinking mindset, ready for a fast-paced environment where they will face various tasks.
Google Cloud Certification (Professional Data Engineer, Professional ML Engineer, Professional Cloud Architect) 4+ years of professional experience in designing and building Google Cloud Platform solutions in Marketing Analytics, Data Analytics, and Machine Learning realm Experience developing solutions in Python (Apache Airflow, Apache Beam) and SQL Experience with GCP tools including BigQuery, Cloud Storage, Cloud Run & Cloud Functions, and Cloud Composer Thorough knowledge of CI/CD pipelines and DevOps best practices including Terraform, GitHub Actions Understanding of networking, security, and performance optimisation in a cloud environment Knowledge of digital marketing and advertising concepts and tools Strong problem-solving and communication skills Ability to work independently and as part of a team in a fast-paced environment Salary and Benefits The estimated salary for this role is between $150,000 and $200,000 per annum, depending on experience and qualifications. The company offers a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off.
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