Data Engineer Intern
il y a 1 semaine
About the team :
Our data engineering team consists of 8 skilled engineers based in Paris. We are part of the R&D department, which comprises 120+ engineers across Paris, Nantes, Limoges, Krakow, and Berlin, all working in an Agile environment and ready to tackle the most complex technical challenges. The data engineers are organized into two collaborative sub-teams:
Feature team: Applies best-in-class data modeling and orchestrates data transformations in our warehouses, leading day-to-day warehouse management.
Pipeline team: Maintains and enhances the operationality of our on-premise and cloud data pipelines that feed our warehouses and APIs.
\uD83C\uDFAFOur Mission- Our Data Engineering team is central to Equativ's data-centric business and is responsible for ingesting, transforming, modeling, and redistributing all data from our ad tech platform.
- We build scalable and robust Big Data platforms from ingestion to business-actionable consumption. Our Big Data ecosystem handles massive volumes (15 TB per day), short and long-term data storage, complex data modeling, real-time and batch ELT, as well as external access through dedicated APIs.
- We enhance and deliver Equativ data directly to our customers and throughout the company for BI analysis, data science model training, customer reporting, invoicing, and more.
- We rely on a top-tier on-premise and cloud stack (Kafka, Flink, ClickHouse, BigQuery, Dataflow, Airflow, dbt…) and work continuously to increase reporting capabilities, reduce maintenance time, improve performance, and simplify access to our raw data.
- As a data engineer intern in the feature sub-team, you will take a leading role in a data engineering project such as:
- Set up a data governance application (Atlan), including modeling new data sources and training internal stakeholders
- Ensure consistency across our reporting services by harmonizing configurations and establishing unified contracts between different data APIs
Develop and improve homemade data quality frameworks and applications to automatically detect issues in our data warehouses (BigQuery, ClickHouse)
Support the data engineering team in their daily activities:
- Propose design concepts (UML) to optimally log and model our data
- Improve data transformation processes using dbt, BigQuery, ClickHouse, and Airflow
Monitor application performance and workflows using reporting tools (Grafana)
Contribute to improving and deploying data engineering standards, documentation, and operational guidelines around data usage at Equativ.
- Master's degree in Computer Science or a similar technical field
- Prior experience in data or software development environments is desired
- Experience with a cloud data warehouse (BigQuery, Snowflake, Databricks, etc.) is a plus
- Strong knowledge of SQL and at least one other data programming language (Java preferred, Python, Scala)
- Experience with API development is a plus
- Knowledge of the software development process (Git, CI/CD, testing, Scrum)
- Working proficiency and strong communication skills in verbal and written English
- Strong interest in big data and cloud computing technologies
- March/April
- For 6 months
About us
Equativ, a leading independent ad platform, brings scale and simplicity to digital advertising.
Following its recent merger with Sharethrough and the acquisition of Kamino Retail, advertisers, media owners, and technology partners rely on Equativ's advanced SSP, curation, and retail media services and technology to achieve maximum business outcomes.
With a focus on privacy-first programmatic video, CTV, and data-driven solutions, Equativ enables clients to activate across the digital ecosystem while protecting consumer privacy.
The company's global expertise is also backed by a team of over 750 employees across 19 countries.
As a proud recipient of the label, Equativ is committed to providing a dynamic, flexible workplace where employees thrive, grow, and excel in both their professional and personal lives.
Come and lead the charge with us in building a transparent ecosystem based on quality
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Equativ is an equal opportunity employer. Equal access to employment, services, and programs are available to everyone, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you require reasonable accommodation throughout the application and/or interview process, please contact the recruitment team at ta-
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