Senior Data Engineer

Who is Wunderman Thompson MAP

Wunderman Thompson MAP is the world-leading center of excellence for Marketing Automation, Personalization, Loyalty and CRM at scale. Our mission is to deliver value for our clients by humanizing the relationship between the brand and the consumer. To do this, we help clients make data-driven and personalized experiences that can be scaled with efficiency and operationalized intelligently. We believe that serving consumers personal, mindful content in an omnichannel world is key to transforming experiences. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric.

At Wunderman Thompson MAP, we are always making room for more. We are 800+ technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 40+ nationalities who collaborate closely to help our clients inspire and engage consumers on five continents.

Who we are looking for:

Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we're looking for!

What will your day look like?

As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication and CRM. More specifically, your tasks include:

• Identify, collect, and integrate data from various sources by building high quality data pipelines and data models for analytics and business intelligence (BI) purpose.
• Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
• Build monitoring procedures & tools to ensure solid ETL flows and data quality.
• Design processes and tools to correct ETL incidents.
• Collaborate with CRM developers, data scientists and data analysts and product owners to ensure the supplied data supports the business initiatives.
• Consult our data analytics teams to ensure best practices on the technical use of data are followed.
• Design data architectures and collaborate in data migrations in cloud environments.Who are you going to work with?

You will join a team of highly skilled Architects, Data Scientists and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative and Client Teams.

What do you bring to the table?

As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.

At the same time, you solve problems in an analytical and pragmatic manner. Moreover, you have:

• 4+ years of experience in data engineering, big data, business intelligence or data science
• 4+ years of experience in Spark, Python, Scala or similar.
• Excellent SQL skills enabling large scale data transformation and analysis.A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tool.
• Experience with cloud based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)
• Programming experience in Javascript, Python or similar.
• Expertise in managing databases, including performance tuning, backup and recovery.
• Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation
• Knowledge of strengths and limitations of visualization tool (e.g. PowerBI, Tableau, Looker etc) in terms of data modelling in the visualization tools.
• Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
• Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security
• Knowledge of Kubernetes would be an advantage

Personal skills:

• Strong desire to contribute towards keeping data tidy and well organized
• Ability to think critically, identifying issues autonomously, and proposing corrective actions.
• Build great relationships with your team and stakeholders
• A leader in personalised customer experiences

What we offer:

• Passionate, driven people | We champion a culture of people that do extraordinary work.
• Consciously cultivated culture | We aim to embody the behaviors to build an inclusive community that is in it together, bringing both positivity and active listening into the workplace as we simultaneously strive to empower creative bravery.
• Competitive benefits | What we offer full time hires ranges from the full spectrum of group health coverage options (medical, dental, vision) to a generous 401k match (100% dollar-for-dollar match, up to 5% of salary contribution), and a variety of paid time off offerings that reflect our investment in all aspects of your overall life balance and wellness.
• Growth-minded opportunities | We aim to nurture a culture of real-time feedback, growth-oriented mindset, and plenty of training opportunities through Wunderman Thompson and WPP, so you can continue to grow personally and professionally.

Wunderman Thompson is an equal opportunity employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability, or other protected group status. We believe in creating a dynamic work environment that values diversity and inclusion and strives to recruit a diverse slate of candidates to help us achieve that goal.

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