Ekimetrics is a global leader in data science and AI solutions. Since 2006, we’ve been using data science to optimize marketing performance, business outcomes, and the transition to more sustainable growth.
If you're driven by the desire to solve complex business challenges using data and AI, and want to shape your professional future, your place is at Ekimetrics.
At our New York office, we specialize in Marketing Analytics, with a strong focus on Marketing Mix Modeling (MMM), Marketing Mix Optimization (MMO), and Marketing Effectiveness. We leverage our analytics-as-a-service expertise and proprietary data & AI platforms to deliver measurable impact. Our 400+ experts across business, data, and technology ensure seamless integration between strategy and execution, resulting in faster delivery and tangible business results.
📊 Key Figures
- 400+ data science experts globally
- 1000+ projects across 350+ clients
- Offices in Paris, London, Hong Kong, Shanghai, and New York
About the Role
As a Senior Consultant in Data Engineering, you will lead and contribute to high-impact projects with top-tier international clients across industries. You’ll implement and build ETL solutions that directly support Marketing Mix Modeling, Marketing Mix Optimization, and broader Marketing Effectiveness initiatives.
You’ll collaborate with data engineers, data scientists, and domain specialists on 1-2 projects simultaneously, helping clients build robust, scalable data architectures that power their marketing analytics efforts. Your work will enable clients to make data driven decisions that optimize their marketing spend, improve channel performance, and drive ROI.
You’ll also benefit from our technological partnerships, training programs, and mentorship from Ekimetrics partners to grow you expertise in marketing analytics, data engineering, and consulting.
Responsibilities
Data Engineering
- Design and develop complex data pipelines to support MMM/MMO and marketing effectiveness use cases using our core development platform, Databricks
- Build tools to industrialize and deploy data workflows in cloud environments.
- Expand your expertise in data structures, solutions architecture, and implementation frameworks.
Consulting & Client Partnerships
- Liaise internally with Ekimetrics cross-functional teams sharing best methods for data management.
- Engage regularly with clients to develop a deep understanding of their data for apt delivery of insights and recommendations that enhance the efficiency and scalability of client ETL frameworks.
Project Management
- Actively work with team to identify actions to improve client engagements.
- Proactively resolve potential issues in a project before they arise and identify appropriate actions.
Eki Life
- Support our growth by contributing to initiatives in Knowledge Management, Recruitment, Culture, Diversity, and AI innovation.
About You
We’re looking for a dual-profile consultant with strong data engineering and marketing analytics capabilities.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
- 3-5 years of experience in data engineering and statistical modeling.
- Experience and/or understanding of Marketing Mix Modeling and Optimization or Marketing Effectiveness.
- Demonstrated history of working in an agile development environment.
Data Engineering Skills
- Proficient with Databricks (Delta Lake, Spark, Asset Bundles, Unity Catalog, Cluster Management).
- Proficiency in python, with working knowledge of SQL, Spark, and Bash Scripting. Experience with templating languages is a plus.
- Skilled in building and deploying production-grade data pipelines and architectures complete with CI/CD plus experience with ELT/ETL processes.
- Experience with Azure required, familiarity with GCP or AWS a plus.
- Experience with PowerBI or Tableau for dashboarding and data visualizations.
- Exposure to ML or advanced analytics techniques is a plus.
Consulting Skills
- Prior consulting experience or strong interest in client-facing roles
- Clearly explains data engineering methodology and technical decisions to non-technical stakeholders
- Passion for marketing strategy and business impact
- Excellent communication skills and ability to work in collaborative teams
- Self-motivated and thrives in fast-paced environments
- Spanish speaking is a plus
Recruitment Process
1. Data Engineering HackerRank assessment[DS1]
2. HR Interview
3. Case Study Interview[DS2]
4. Final Interview
Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.
Please note that we do not offer visa sponsorship or transfer for this position.
