Data Engineer - SPI

Role Summary 

KINESSO is currently seeking a highly motivated, detail-oriented Data Engineer to fill an immediate need. This individual will work with the technical team and internal clients to understand and analyze requirements to build and support data initiatives. The candidate will have experience designing and developing highly scalable data solutions with a strong understanding of the Data Engineering operating environments. This role requires an individual who has a passion for technology and media and is looking to apply this to further their experience in real-world business scenarios. 

Key Responsibilities 

• Active participation in discussions and provides insights about processes and solutions. 

• Responsible for intermediate tasks related to core practice, ensuring effective and timely completion. 

• Identifying areas for improvement in processes and helping to adapt processes. 

• Develop and manage team documentation and conduct peer reviews as scoped. 

• Follow compliance guidelines and standards, identify potential problems, and propose solutions. 

• Collaborate across teams within the project, understanding and integrating feedback from different stakeholders. 

• Mentor trainee engineers, guiding them through tasks and helping them understand core concepts. 

Requirements 

• Bachelor’s degree in computer science 

• 3-5 years of progressive software engineering experience 

• 3+ years of experience with Python, JavaScript and SQL 

• 3+ years of experience with AWS cloud ecosystem 

• 3+ years of experience with any MPP database technology 

• 1+ years of experience with big data processing frameworks 

• Experience with agile methodologies is highly desirable 

• Experience in the modern data stack is highly desirable: 

• Warehouse/Lakehouse: Snowflake, Databricks, AWS Redshift 

• Orchestration/Pipelines: Airflow, Dagster, Kestra 

• Transformation/Modelling: DBT, Star Schema, Data Vault 

• Observability/Analytics: DataDog, Tableau, AWS QuickSight 

• CI/CD: Jenkins, GitHub, Terraform, Docker, Kubernetes 

• Basic understanding of AI/ML concepts 

• Skilled in time management and meeting timelines 

• Strong teamwork, contributing effectively to team goals 

• Thrive in hybrid work settings 

• Effective communicator, skilled at influencing team discussions 

• Basic understanding of data privacy, security, and compliance standards 

• Able to stay ahead of the curve with new and emerging technologies 

• Experience in ad tech is a strong plus 

Personal Attributes 

• Proficient in English as a first language – both verbal & written 

• Excellent communication skills with the ability to effectively interact with non-technical users. 

• The ability to consistently deliver solid, successful solutions in short development cycles. 

• A strong spirit of innovation, self-starter, independent, and with the ability to come up with solutions to meet business problems. 

• Result driven, high enthusiasm and can work well with others. 

• Strong desire to learn new things and pass knowledge acquired onto others. 

• Able to manage own hours and work with a remote team environment. 

About Us 

Kinesso, the Marketing Engine of IPG, is focused on creating data-driven solutions through enhanced or newly created products and services, maximizing the impact of traditional and addressable media. Kinesso’s core principle is to drive smarter business decisions and better outcomes for clients using our suite of data and technology services. 

Powered by Acxiom, IPG’s foundational data and technology layer, the company will provide comprehensive data-driven marketing capabilities to clients, as well as act as a trusted data management partner to brands. 

Designed for flexibility and speed, Kinesso’ offerings are structured to improve media and marketing performance with an emphasis on accuracy, agility and effectiveness. Our open architecture approach is powered with the right combination of creative and data, activated with flexibility and measured with precision.