Junior Data Engineer
Job Description & How to Apply Below
Omd
Job Function:
Consulting
Job Subfunction:
Technology Consulting
Job Description:
About the role
The Data Engineering team is responsible for building and maintaining robust data infrastructure and dashboarding solutions for OMD’s highest profile clients. We work closely with analytics and strategy teams to ensure clean, reliable, useable data flows and compelling visualizations that drive business insights.
What will you do
As a Junior Data Engineer, you will support the execution of our dashboarding roadmap and contribute to ongoing data operations. With guidance from Data Engineering senior stakeholders and Mar Sci teams, you will be responsible for:
Marketing Data Engineering & Pipeline Development
Build, maintain, and optimize ETL/ELT workflows supporting marketing analytics and reporting.
Develop production-ready SQL transformations to clean, structure, and prepare marketing datasets.
Create reusable datasets and data models that support dashboards, reporting, experimentation, and advanced analytics.
Collaborate with analytics and marketing science teams to translate business requirements into scalable data solutions.
Marketing Cloud Intelligence (Datorama) Dashboard & Data Model Rebuild
Redesign and optimize the underlying data model within Marketing Cloud Intelligence (Datorama).
Rebuild data views, datasets, and reporting structures to improve usability and scalability.
Improve dashboard performance, data refresh processes, and reporting efficiency.
Identify opportunities to automate recurring reporting processes.
Support evaluation and potential migration of dashboards from Marketing Cloud Intelligence (Datorama) to Tableau.
Data Integration & Data Preparation
Extract and integrate marketing data from multiple sources, including:
Marketing Cloud Intelligence (Datorama)
Google Big Query
Vendor-provided CSV/Excel files
Third-party marketing platforms through APIs
Build and maintain data ingestion processes to ensure timely and accurate data availability.
Clean, transform, and standardize data from multiple sources for analysis.
Data Quality & Documentation
Implement data validation checks to identify data quality issues and inconsistencies.
Monitor data accuracy and troubleshoot issues affecting reporting and analytics.
Maintain data dictionaries, metric definitions, and documentation of data processes.
Ensure consistency in business logic across reporting and analytical datasets.
Marketing Analytics Enablement
Understand the data requirements behind marketing measurement approaches, including:
Attribution & Multi-Touch Attribution (MTA)
Marketing Mix Modeling (MMM)
Incrementality testing & Experimentation
Forecasting
Partner with Marketing Science analysts and data scientists to support measurement, modeling, and optimization efforts.
Technical Skills & Experience
Strong SQL skills and ability to write production-quality queries.
Experience with data transformation and modeling.
Experience working with cloud data warehouses (Google Big Query preferred).
Familiarity with APIs and data integrations.
Experience working with marketing analytics data sources is preferred.
Experience with visualization platforms such as Tableau is an asset.
Understanding of marketing measurement concepts and analytical methodologies.
Familiarity with Airflow
What We Are Looking For
Experience & Background:
You have 2+ years of experience in data engineering or related technical roles. You have a strong foundation in data fundamentals and are eager to grow your skills. You are comfortable working in technical environments and have a track record of learning new tools quickly.
Technical
Skills:
You have hands‑on experience with the skills outlined above. Proficiency in Excel is expected. You have familiarity with SQL, and basic…
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