back-end developer / data engineer
back-end developer / data engineer
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Job Description
Are you our new colleague Were looking for aback-end developer / data engineer at Randstad Global IT
Diemen / hybrid / full time
people at the heart of everything we do
Working at Randstad is unlike working at any organization. Because at Randstad we put people at the heart of everything we do. This goes for our clients our talent our employees and society. We combine our passion for people with the power of todays technologies. This helps us support people and organizations in realizing their true potential. Learn more about our mission history and values on our website:
how you will contribute
As a Back-end developer/Data engineer you will contribute to create and maintain data structure and pipelines supporting brand new insights into the global world of work. We use the latest ML and AI techniques to deliver highly accurate models for supporting a variety of business applications and processes including market demand talent supply career patterns salaries and rates and pricing.
The focus in this role will be working on our global taxonomy program that is supporting our systems landscape this program we are creating and maintaining information on all kinds of vital elementary data concepts such as jobs occupations skills certificates education and more. We are using the latest ML technology and LLMs to create our models and present the results via ML pipelines with a balanced set of microservices.
You will be a part of an international and agile team of highly skilled specialists including data scientists ML engineers data engineers and data analysts. We have a major research background and are publishing some of our greatest work in academic papers.
You will work closely with other colleagues within the Randstad ecosystem especially in the various global projects. The impact of your work depends not only on the quality of your products but especially on your ability to communicate the value and proof of concept of your models and analyses.
what you will be doing
building and maintaining pipelines that automate the data transformation ingestion and release as well as training and deployment of ML models
contributing to design and development of new tools and new models
defining and appropriating work to the product backlog
collaborating within the data science and data engineering communities within the Randstad ecosystem on sharing best practices harmonizing Data engineering and grow collective data engineering skills
who will you work with
Our global data science team helps our customers make better hiring decisions and helps talent advance in their career paths. We help people find work by creating new insights into the dynamics of the global labor market and integrate those insights into customer- and talent-focused data products. We build and deploy machine learning models and tell stories with those insights. As an example - we create clarity where there are gaps in diversity what a talents next job might be how market conditions should influence a hiring strategy where we predict demand will go and much more.
what you will bring
Masters degree in Computer science / Data Science or related technical studies (. or equivalent experience)
min.1 to 2 years work experience as a Back-end developer or Data engineer with strong engineering skills
relevant experience with API frameworks (flask FAST API). Previous experience with microservices is a plus
coding: high proficiency in Python (incl. relevant libraries and packages) and SQL. Background in Java is a plus
Data processing workflows and data pipelines tools like Apache Beam DBT
Infrastructure and automation: relevant Cloud experience (GCP AWS Azure) and CI/CD experience (Git/version control/ Terraform)
Experience with ontology management is highly valued (SKOS RDF OWL GraphQL)
Understanding of Machine Learning modeling
whats in it for you
We put people at the heart of everything we do. Our employment conditions reflect this;
competitive salary
an additional flexible benefit budget
attractive bonus scheme
option to take part in Randstads success through our employee Share Purchase Plan
option to go on a sabbatical leave or buy extra holidays
flexible working hours in the office or hybrid
attractive mobility arrangements
opportunity to give back to local communities through paid volunteering leave
a generous budget to set up your home office space and a net internet allowance
growth and development opportunities in a fast changing global environment
working with great people and being part of a network where everyone wants you to succeed
an environment where differences are understood valued and celebrated
We want our teams and talent to reflect the rich diversity of the societies we serve. We thrive for an environment of belonging safety and confidence. So everyone can bring their whole selves to work and flourish. Learn more about equity diversity inclusion and belonging at randstad here.
If you recognize yourself in the profile above we invite you to apply for this role.
For more information you can reach out to our recruitment business partner
The recruitment procedure consists of a screening and at least two interviews. Later in the process an (online) assessment and a job offer conversation take place
Employment Type
Full-Time
