Data Engineer

We are seeking a Lead Data Engineer to join our Marketing Intelligence & Reporting team, responsible for overseeing our data engineering function and its associated work streams across Omnicom's global client portfolio. The ideal candidate will possess a strong technical background in data engineering, with proven expertise in the collection, processing, and analysis of large-scale media datasets. Experience in designing, deploying, and managing data warehouses on cloud platforms is essential.

This is an excellent opportunity for someone keen to collaborate with both regional and global clients, and to drive best practices and product innovation across our network of agencies. Build the platforms. Lead the thinking. Shape the future of data for our clients.

• Engage, upskill and nurture the Data Engineering team to drive and foster a high engagement culture.
• Be the key voice on the core design of our data engineering product and data architecture whilst leading the team to implement the plan.
• Be a key stakeholder on our cloud-based infrastructure, providing expertise and recommendations on the best opportunities to innovate, adhere to best practices and develop the underlying technology.
• Work with the BI team to design functional standardised data solutions that can be rolled out across Annalect EMEA's clients.
• Lead in designing, building and maintaining data pipeline architecture for ELT/ETL.
• Explore the use of AI within our data engineering solutions.
• Participate in running a community of data engineering specialists across the EMEA region.
• Contributing to pitch content and scope for new work and solutions for prospective and current clients.

• 5+ years' experience in data engineering teams, ideally in a global or fast-paced environment.
• 2+ years' experience leading data engineering teams.
• 5+ years' experience with modern data platforms in the cloud. Experience with Google Cloud Platform is preferred;
  Microsoft Azure or AWS will also be considered.
• 5+ years' experience in designing and implementing data architecture, ETL/ELT processes, and Dev Ops pipelines (including Docker, CI/CD, etc).
• 6+ years working with SQL and Python.
• 2+ years working with dbt, using advanced macros and templating.
• Knowledge of the media industry is essential.
• Ability to translate business requirements into technical specifications and communicate these to various stakeholders.
• Ability to manage Git repositories and use the Git Flow Workflow, ideally through Git Lab, and deployments into production environments.

At Omnicom Media Group, we are committed to supporting flexibility for our people while fostering collaboration, innovation, and teamwork. We have a hybrid working model (three days in the office, two working remotely), to ensure that we meet the needs of both our people and our business, balancing the benefits of in-person connections with the flexibility of remote working. Our standard working hours are 9:30 - 17:30, but we offer the ability to flex around core hours of 10:30 - 16:30 to give our people flexibility on how they manage their working day, whether that's in the office or working remotely.

For example, you could start work at 8:30 and finish at 16:30 or start at 10:30 and finish at 18:30. We encourage open conversations between our people and managers to help navigate high-need periods and individual circumstances. Our goal is to create an environment where people feel genuinely supported to do their best - both in their careers and in their lives outside of work.