How would you like to work in IT & Communication , toying with cutting edge technologies and enjoying your life? Come closer to #LifeAtOrange .
We’ll recruit you from the safety of your home and we’ll prepare you for the challenges of this period for the time being, our activity is carried out remotely.
What we're looking for
Our team at
Orange Innovation is responsible for helping Orange entities and affiliates
with the governance and operational management of their data assets. Members of
the team work autonomously and develop strong expertise in their area, able to
advise and provide concrete support to Orange entities and affiliates on data
governance tools, processes and practices.
We seek to
bring innovative and efficient solutions to data users in several areas : data
catalogues and data discoverability, metadata management, data lineage, data
quality, data access and usage, and data protection.
In the area of
data quality, more and more people pointed out the paramount importance of data
quality and consistency and recent studies show how improving data
significantly improves model accuracy, while improving the model algorithm had
little to no effect. At Orange Innovation, we are currently looking for a Data Engineer
with good Machine Learning skills to help design and build the solution to
manage high-quality data for various projects within Orange.
You will design
and implement tools and solutions for continuous data validation in ML
pipelines for various Orange projects. You will recommend the best solutions, support
and advise orange teams (data scientists, data analysts, BI teams, data owner, etc.).
the direction of the Data Quality Product Owner, you will calibrate and qualify
tools (commercial tools, internally developed tools, open source tools, cloud
tools, etc.) and adapt them to the needs of customers or users.
You will work closely
with other Data stakeholders and will contribute to strengthen the links
between data quality and data catalogs, data lineage, DataOps pipelines, etc.
You will also
contribute to explain the value of continuous data quality validation among all
investigate methods to improve and measure the performance of data quality tools
and will be free to propose new approaches.
What you'll be doing
Your job involves a mix ofData engineer :
expectations in term of data quality
project's needs and characteristics,
solutions, implement, integrate, test, and transfer the chosen solution
reporting for customers, data quality product owner and management
Data Quality evangelist :
on data quality stakes and solutions
Learn, test adapt or create about new data quality
What you need to know / have
least 2 years of experience in data engineering (building data pipelines,
industrialization of data science applications, )
data validation tools such as TensorFlow Data Validation, Amazon DeeQu or Great
Expectations is a plus
convinced of the importance of data quality and you are highly motivated to address
the corresponding tasks
results-oriented and you like to solve real-world problems
already worked in agile mode and have a taste for the consulting business
working across organizational boundaries on a local and global basis is an
skills in Python, Java or Scala; knowledge of an ETL (Talend, Informatica...)
analytical skills with the ability to maintain attention to detail
communication skills, both written and oral
interpersonal and listening skills
algorithms and techniques (deep learning, tensorflow, keras, ...)
basic knowledge of data architecture and cloud environment (GCP for instance)
English skills (spoken and written)
knowledge of French is an asset
What's in it for you
Come & work for a #TopEmployer company. You could be part of an organization where great colleagues and team spirit support your professional development.
Apply and let’s have a remote-talk.