Senior Data Engineer

Position Overview:

Havas Media Network is seeking experienced candidates who want to advance their careers in a rapidly growing industry. You must be a self-starter with a desire to challenge yourself by acquiring new knowledge and skills, as well as a team player who thrives on shared success. You must have keen attention to detail and be driven by a commitment to production quality and execution.

The opportunity is to join a growing team as we build our suite of data products. Working within a close network of engineers and traders, you will be responsible for designing, developing, and delivering data management solutions at scale to provide best-in-class analytics products – both to our clients and internal teams.

You can expect a structured training plan from us that will help you understand and incorporate new tools and knowledge for your work. We are heavily invested in the professional development of our engineers and offer opportunities for you to grow your skills and advance your career within the agency.

Responsibilities:

• Meet with key internal stakeholders to diagnose and systematically integrate client-specific data requirements, providing technical consultation for data products both internally and to client teams.
• Leverage MPP platforms to provide data processing solutions at scale.
• Proactively seek opportunities to enhance our existing architecture, providing clients with a more reliable data product while reducing our team's technical debt.
• Partner with internal teams to evolve our data platform using a modern data engineering stack, including data warehousing, workflow platforms, and data validation products.
• Provide quality assurance for data throughout the ETL cycle.
• Coordinating and executing maintenance updates to production deliverables.
• Keeping abreast of industry developments, learning new technology platforms to augment new and existing projects.
• Contribute to the company's knowledge base by creating and sharing case studies, POVs, and training/conference summaries.

Skills and Qualifications:

• Bachelor's degree in a quantitative field (such as Engineering, Science, or Mathematics) or relevant work experience
• Proficiency in SQL, data modeling, and relational database systems
• Experience building multi-tier ETL solutions through data transformation tools such as Dataform or DBT
• Experience using Google Cloud Platform, Amazon Web Services, and/or other cloud service infrastructure.
• Experience with Python or other OOP programming languages is a plus.
• Experience with Power BI, Tableau, LookerStudio, or other data visualization tools is a huge plus.
• Excellent organizational and communication skills
• Demonstrated ability to multi-task, prioritize, and manage project timelines. Experience with project/ticket management systems such as Jira or ClickUp is preferred.