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Senior Data Engineer I
Paris-France
Actively hiring, first seen by us 7 days ago- Pay
€45,000–77,000/yearAnnual period assumed. Location-specific pay — pay source
Scibids offers a dynamic, inclusive environment where innovation and teamwork are celebrated. If you are looking to make a significant impact in the digital marketing sphere and lead a talented team towards groundbreaking achievements, we would love to hear from you. The successful candidate’s base salary will be determined based on a number of non-discriminatory factors, including qualifications for the role, level, skills, experience, location, and internal equity considerations. The estimated salary range for this role based on the qualifications set forth in the job description is between [€45,000 - €77,000]. This role may also be eligible for bonus or commission (as applicable), equity and benefits.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingThe Data Engineering team is at the core of the scibids product, and is responsible for communication between scibids and its partners.
As Senior Data Engineer, your role will be to participate in the development of the project and make sure it runs efficiently.
Create ETL jobs that make partner data available to other teams
Contribute to a reverse ETL for uploading Scibids models
Create APIs and libraries that help inter-team communication
From the employer’s posting
The Data Engineering team is at the core of the scibids product, and is responsible for communication between scibids and its partners. All teams need correct and reliable data. We ingest diverse and volumetric data. The team also manages outbound communications with partners. We use partner api cross-referenced with a set of business rules to upload models generated by the scibids product.
As Senior Data Engineer, your role will be to participate in the development of the project and make sure it runs efficiently.
Creation of ETL jobs to make our partners' data available to other teams
Contribute to the development of a reverse ETL for uploading scibids models
Creation of api and lib to help inter-team communications
What you’ll bring
All qualificationsCore experience
- Advanced knowledge of one or more programming languages
- SQL and Python proficiency
Preferred experience
- Professional experience with large datasets
- Experience with two of: distributed and parallel systems, information retrieval, or large software systems
Qualification wording
Advanced knowledge of one or several programming languages.
SQL & Python proficiency.
Professional experience working with large datasets.
Experience working with two of the following: distributed and parallel systems, information retrieval, developing large software systems.
About DoubleVerify
"DV Scibids" is a global leader in AI-powered digital campaign activation.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 20267 days ago
- Recorded sightings
- 12
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Sep 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
DoubleVerify is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- Prefect
- GCP
Where the posting names them
Technical stack relevant to the position: - Python, Prefect - Google Cloud Environment, Bigquery, Cloud SQL, Google Cloud Datastore, Cloud Run,
- Advanced knowledge of one or several programming languages. - SQL & Python proficiency. - Knowing how to program in a simple and short way (KISS principle).
- Python, Prefect - Google Cloud Environment, Bigquery, Cloud SQL, Google Cloud Datastore, Cloud Run, Minimum qualifications:
Your next step
Complete your application on doubleverify.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
About DV & Scibids
"DV Scibids" is a global leader in AI-powered digital campaign activation. Scibids' solutions empower global brands to effectively boost ad performance and outcomes while improving operational efficiency and reducing manual lift. DoubleVerify technology does not rely on digital identifiers such as cookies and can be activated across leading Demand-Side Platforms such as The Trade Desk, DV360, and Xandr to mention a few. To learn more visit https://doubleverify.com/scibids-ai/.
DV Scibids' AI Optimisation technology equips these trading desks with machine learning solutions which use real-time performance data to discover the optimal amount to bid for each advertising opportunity, thus delivering the final advertisers significant lifts in performance and productivity. The technology developed by Scibids is rooted in a solid scientific and market expertise and now has a team of 30+ Data Scientists based in our Paris office, working alongside DV's global engineering and data science org.
About the role
The Data Engineering team is at the core of the scibids product, and is responsible for communication between scibids and its partners. All teams need correct and reliable data. We ingest diverse and volumetric data. The team also manages outbound communications with partners. We use partner api cross-referenced with a set of business rules to upload models generated by the scibids product.
As Senior Data Engineer, your role will be to participate in the development of the project and make sure it runs efficiently.
The scope of application varies between several tasks:
Creation of ETL jobs to make our partners' data available to other teams. There are several sources of data, for example data from api or files in csv, avro or parquet format with several million rows.
Contribute to the development of a reverse ETL for uploading scibids models
Creation of api and lib to help inter-team communications
Technical stack relevant to the position:
Python, Prefect
Google Cloud Environment, Bigquery, Cloud SQL, Google Cloud Datastore, Cloud Run,
Minimum qualifications:
3+ years of experience as a data engineer
Advanced knowledge of one or several programming languages.
SQL & Python proficiency.
Knowing how to program in a simple and short way (KISS principle).
Interest and ability to learn other coding languages as needed.
Preferred qualifications:
Professional experience working with large datasets.
Experience working with two of the following: distributed and parallel systems, information retrieval, developing large software systems.
Conducting a regular technology watch on data-related subjects.
Scibids offers a dynamic, inclusive environment where innovation and teamwork are celebrated. If you are looking to make a significant impact in the digital marketing sphere and lead a talented team towards groundbreaking achievements, we would love to hear from you.
The successful candidate’s base salary will be determined based on a number of non-discriminatory factors, including qualifications for the role, level, skills, experience, location, and internal equity considerations. The estimated salary range for this role based on the qualifications set forth in the job description is between [€45,000 - €77,000]. This role may also be eligible for bonus or commission (as applicable), equity and benefits.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Scibids offers a dynamic, inclusive environment where innovation and teamwork are celebrated. If you are looking to make a significant impact in the digital marketing sphere and lead a talented team towards groundbreaking achievements, we would love to hear from you. The successful candidate’s base salary will be determined based on a number of non-discriminatory factors, including qualifications for the role, level, skills, experience, location, and internal equity considerations. The estimated salary range for this role based on the qualifications set forth in the job description is between [€45,000 - €77,000]. This role may also be eligible for bonus or commission (as applicable), equity and benefits.
- Location & working pattern
Paris-France
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.