Modelling & Data Science Executive

The purpose of this role is to build and maintain data in the business's operational and analytics databases. The Data Engineer works with the business's software engineers, data analytics teams, data scientists. data warehouse engineers and business intelligence experts and data visualization specialists to understand and aid in the implementation of database requirements, enhance performances by data driven analysis, build reporting and BI dashboards and troubleshoot data issues.

Job Description:
The purpose of this role is to maintain, improve, clean and manipulate data in the business's operational and analytics databases. The Data Engineer works with the business's software engineers, data analytics teams, data scientists. data warehouse engineers and business intelligence experts and data visualization specialists to understand and aid in the implementation of database requirements, enhance performances by data driven analysis, build reporting and BI dashboards and troubleshoot data issues.

Job Title: Data Engineer (Senior Analyst)

Job Description:
About Dentsu

Led by Dentsu Group Inc. (Tokyo: 4324; ISIN: JP3551 520004), a pure holding company established on January 1, 2020, the Dentsu Group encompasses two operational networks: Dentsu Japan network, which oversees Dentsu's agency operations in Japan, and Dentsu international, its international business headquarters in London, which oversees Dentsu's agency operations outside of Japan.

With a strong presence in approximately 145 countries and regions across five continents and with 65,000 dedicated professionals, the Dentsu Group provides a comprehensive range of client-centric integrated communications, media and digital services through its five leadership brands-Carat, Dentsu X, iProspect, Dentsu Creative, and Merkle-as well as through Dentsu Japan Network companies, including Dentsu Inc., the world's largest single brand agency with a history of innovation. The Group is also active in the production and marketing of sports and entertainment content on a global scale.

About CXM (Merkle)

Merkle is a leading data-driven customer experience management (CXM) company that specializes in the delivery of unique, personalized customer experiences across platforms and devices. For more than 30 years, Fortune 1000 companies and leading nonprofit organizations have partnered with Merkle to maximize the value of their customer portfolios. The company's heritage in data, technology, and analytics forms the foundation for its unmatched skills in understanding consumer insights that drive hyper-personalized marketing strategies. Its combined strengths in performance media, customer experience, customer relationship management, loyalty, and enterprise marketing technology drive improved marketing results and competitive advantage. With 12,000 employees, Merkle is headquartered in Columbia, Maryland, with 50+ additional offices throughout the Americas, EMEA, and APAC. Merkle is a dentsu company.

Key responsibilities:

- Collaborate with experienced data engineers, data analyst, data strategy consultant, and other stakeholders to understand intricate customer data requirements.
- Design, implement, and maintain data infrastructure on Cloud to support our customer data architecture.
- Assembles large, complex data sets that meet functional / non-functional business requirements
- Identifies, designs and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
- Builds analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Works with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
- Keeps our data separated and secure adhering to GDPR, CCPA and other Data Protection Acts

Qualifications:

- At least 3 years of hands-on experience as a Data Engineer.
- Proficiency in data pipeline design, development, and optimization, drawing on your expertise in data integration, ETL/ELT, modern tools, to ensure efficient data processing and cutting-edge solutions
- Daily coding experience, SQL and Python preferred, in real-time and batch scenarios
- Demonstrated expertise in implementing data warehouse/lake solutions, data mesh architectures, and distributed processing technologies for production environments
- Exhibit mastery in programming languages such as SQL, Python, and PySpark/Scala/Java, leveraging them to develop sophisticated data platform engineering solutions.

Dentsu Values

Will live the dentsu 8 Ways at all times: We Dream Loud, We Inspire Change, We Team Without Limits, We All Lead, We Make It Real, We Climb High, We Choose Excitement, We Are A Force For Good

Inclusion and Diversity

We're proud to be different and that starts with our p