Senior Data Engineer

EkimetricsNew York, NY
$125,000 - $140,000Hybrid

About The Position

Ekimetrics is a global leader in Marketing & Commercial effectiveness and AI-powered solutions. Since 2006, we’ve been helping businesses optimize marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing & commercial effectiveness, Customer analytics, Operational excellence, ESG & sustainability. With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services. We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world’s most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA.

Requirements

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related quantitative field, with 4-6 years of experience in data engineering, analytics, or statistical modeling.
  • Proficient with Databricks (Delta Lake, Spark, Asset Bundles, Unity Catalog, Cluster Management)
  • Proficiency in Python and working knowledge of SQL, Spark, and Bash scripting.
  • 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.
  • Strong communication, stakeholder management, and project delivery skills, with the ability to explain technical concepts to non-technical audiences.

Nice To Haves

  • Experience with templating languages is a plus.
  • 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.

Responsibilities

  • Design, develop, and deploy scalable data pipelines and ETL workflows in Databricks.
  • Transform and harmonize data from diverse sources and formats (i.e. APIs, CSV files, JSON, databases, cloud platforms, file transfers, etc.)
  • Build and industrialize cloud-based data solutions and frameworks that support efficient data ingestion, integration, processing, and delivery, enabling reliable and analytics-ready datasets for accounts.
  • Define and implement robust data architectures, QA, validation, and monitoring processes to ensure accuracy, consistency, reliability, and scalability.
  • Partner with internal and external stakeholders to understand client data ecosystems, business objectives, account needs, and long-term goals, ensuring alignment between solutions and business priorities.
  • Translate client requirements into scalable data engineering designs, collaborating cross-functional teams to develop effective ETL frameworks.
  • Serve as a trusted point of contact through project delivery, communicating technical recommendations and project progress while promoting best practices in data management.
  • Take ownership of project deliverables from planning through execution, managing priorities, timelines, and risks to ensure high-quality outcomes delivered on time aligned with client objectives.
  • Proactively identify and mitigate potential project, technical, and data-related risks, communicating issues, recommendations, and status updates clearly.
  • Collaborate cross-functionally to coordinate activities, align expectations, and drive project execution.

Benefits

  • comprehensive benefits package
  • generous bonus package
  • dynamic promotions and salary structure
  • The Eki.Academy training catalog, which contains programs that will enhance your skills on our solutions and jobs, learning paths on our digital platform, as well as programs dedicated to our priority challenges, including awareness of environmental issues with the Climate School
  • Dynamic environment with a strong culture and great offices
  • Close-knit team with bi-monthly team events and more
  • Client exposure up to the executive level
  • Modern office just off Wall Street with best-in-class amenities
  • An emphasis on work-life-balance and 20 days of PTO with 11 annual holidays in a flexible hybrid work environment
  • Opportunities for international mobility across our four other offices in Paris, London, Hong Kong, and Shanghai
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service