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WPP

Senior GCP Data Engineer - WPP Open : 6 month Contract

Posted 12 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in GBR
Mid level
Remote
Hiring Remotely in GBR
Mid level
We are seeking a Data Engineer to build and manage data ingestion pipelines, utilizing Databricks and Python to automate processes and ensure data integrity.
The summary above was generated by AI

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients, and communities.

Working at WPP means being part of a global network of more than 100,000 talented people dedicated to doing extraordinary work for our clients. We operate in over 100 countries, with corporate headquarters in New York, London and Singapore.

WPP is a world leader in marketing services, with deep AI, data and technology capabilities, global presence and unrivalled creative talent. Our clients include many of the biggest companies and advertisers in the world, including approximately 300 of the Fortune Global 500.

Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. 

Why we're hiring:

 
We are seeking a skilled and passionate GCP Data Engineer. In this role, you will be instrumental in building, maintaining, and optimizing our data infrastructure, enabling robust analytics, and reporting capabilities. You will work with a diverse set of data sources, ensuring data quality, accessibility, and performance for our critical business insights.
Key Responsibilities:
  • Design, develop, and maintain scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., Google Analytics, transactional databases, APIs, flat files) into our BigQuery data warehouse.
  • Work with diverse data formats including JSON, CSV, Avro, and Parquet, ensuring efficient data handling and storage.
  • Implement and manage data storage solutions within Google Cloud Storage (GCS) for raw data and backups, and optimize BigQuery for performance and cost-efficiency, leveraging partitioning strategies.
  • Develop and orchestrate ETL/ELT processes, including managed daily batch ingestion, to support data analytics and reporting needs.
  • Collaborate with data analysts and product teams to understand data requirements and translate them into technical solutions.
  • Ensure data quality, governance, and security by implementing IAM roles, adhering to logging/auditing standards, and managing schema.
  • Utilize SQL and Python for data manipulation and pipeline development, with an understanding of Bash scripting.
  • Contribute to our CI/CD processes and maintain documentation for data solutions.
What We're Looking For:
  • Proven experience as a Data Engineer, with a strong focus on Google Cloud Platform (GCP).
  • Expertise in BigQuery for data warehousing and optimization.
  • Experience with Google Cloud Storage (GCS) for data lake and backup solutions.
  • Proficiency in SQL and Python for data engineering tasks.
  • Familiarity with data ingestion techniques, including connectors and custom pipelines.
  • Understanding of data partitioning, schema management, and data retention policies.
  • Experience with data visualization tools like Looker Studio (or similar BI tools) and their integration with BigQuery.
  • Knowledge of data governance, security (IAM), and quality best practices.
  • Ability to work collaboratively within a global team and agile environment, utilizing tools like Jira and Confluence.

 

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.


Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.


What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.

Top Skills

Spark
Azure
Databricks
Databricks Auto Loader
Delta Lake
Git
Google Bigquery
Pyspark
Python
Snowflake
SQL
Structured Streaming
Terraform

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