Senior Data Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Pioneer of online flash sales since 2001 and key player in European e-commerce Veepee collaborates with over 7000 brands to offer highly discounted products available for a limited time. Operating across various sectors including fashion home wine travel or beauty... Veepee achieved a turnover of 3.3 billion euros incl. VAT in 2024 and employs 5000 staff members across 10 countries.
We are recruiting a Data Engineer for the Media team which is in charge of advertising topics is looking for an experienced Data Engineer to reinforce his data team and work on challenging services like:
- User segmentation
- Geo-scoring
- Cross devices reconciliation
- Audience broadening
- Modern and dynamic standards: rich media video and so on
As a data engineer you will be part of Veepee Data Team composed of several teams distributed between Paris Barcelona and Brussels.
Responsibilities:
- Your mission will be to support the team in building data pipelines batch and real time ingestion
- Convergence and Rationalisation of Platform (VPTech <> Media)
- Responsible of code delivery and quality: Documentation Testing Code Review CI/CD
- Infrastructure provisioning and management
- Automation and monitoring of process execution and quality
- Solution architecture in order to answer to volumes and SLA constraints
- Keep improving your technical knowledge and expertise by taking part to the Veepee data engineering community attending conferences contributing to open-source projects organizing and attending meetups
Requirements:
- Ideally at least 5 years of experience in software engineering preferably in the data field
- Strong knowledge of Python and SQL
- Scala is a plus
- Experience with data processing technologies like DBT Spark Kafka
- Experience with distributed data systems: Datalakes (Trino Iceberg) SQL and No-SQL databases Cloud storage (e.g. GCS / S3);
- Used to work in a cloud environment (GCP AWS Azure...)
- Familiar with the concepts of microservice architecture. Prior experience with deploying containers on a platform like Kubernetes or Nomad and its ecosystem is a big plus
- Proficiency with version control Git
- Interest in machine learning and data analytics
- A strong team player willing to share knowledge with other team members and help out where needed;
- Pragmatic and solution oriented
- Focused on code quality and code efficiency with a taste for automation
- Strong verbal and written English language skills.
Current Stack (Media):
- Data Pipelining: DBT (Python) Spark (Scala)
- Storage: Trino Iceberg Postgres Mongo Redis
- Automation: Airflow Gitlab
- Infrastructure: Cloud:(AWS) Nomad Consul
- Languages: Python Scala
BENEFITS
- Variable bonus
- Dynamic and creative environment within international teams
- The variety of self-education courses on our e-learning platform
- The participation in meetups and conferences locally and internationally
- Flexible Office with up to 2 days at home
- Flexible retribution package (including Medical Insurance)
RECRUITMENT PROCESS
1 30-minute HR Screen with a Veepeeᵀᵉᶜʰ Recruiter
2 Technical exchange
3 Team Interview
We are convinced that it is up to you to define the way you work to develop yourself and to progress.
At Veepee we guarantee that you can just be yourself! For the service of diversity and inclusion Veepee is committed to reviewing all applications received on an equal basis.
COMPANY For more information about our ecosystem: WHO WE ARE
Veepeeᵀᵉᶜʰ is a tech community of 500 collaborators who play a key role in Veepees innovative strategy.
From Warsaw to Sevilla through Brussels Amsterdam Paris Lyon Nantes Nice Barcelona Madrid and Lausanne all our projects are developed in an agile environment with a wide skills variety where youll be sure to find your place no matter the technology you work with.
If you love to try things why dont you jump on this new adventure
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
