Big Data (advanced)
Stepstone, as one of the leading online job platforms, is the bridge between jobseekers and recruiters. Specifically, we develop both innovative products that empower jobseekers in their career development and services that support recruiters to find the best talent for their challenges.
To accomplish our company strategy, our B2B matching team is looking for a Big Data Developer in Berlin, Brussels, London and Warsaw .
In this position, you will work closely with data scientists to build end-to-end model-based pipelines and automate procedures.
This includes data preparation, building & deploying data model services, data validation, designing & implementing & deploying pipelines for different B2B use cases and service maintenance.
Are you eager to take on a big challenge? Then apply now!
We are an international employer therefore equal opportunities are important for us. We welcome applications from everyone, e.
g. people with different ethnicities, abilities and preferences. Please let us know, if we e.g. should use a gender neutral pronoun, you need barrier-free access to our offices or we should plan for more time during the application process.
You will translate business requirements into working products with end-to-end responsibility for product development and delivery within your organization.
You will work independently to design, implement, deploy and maintain state-of-the-art data processing frameworks, technologies, and platforms for different business use cases
You will support data scientists to build, deploy and maintain and test data-driven products and features
You will improve existing products by reviewing their architecture, design and optimizing their performance
You will collaborate closely with other big data developers, devops, data scientists, architects, and decision-makers to build solutions and gain novel insights
You have at least a bachelor’s degree in relevant fields (eg, Computer Science, Big Data, etc.) or have at least 2- or 3-years’ industry experience
You are familiar with at least 2 following programming languages : Java, Python, Scala
You have experience setting up recommender systems. Although you might not have a background in our field, bringing knowledge and experience from other fields is merited.
You have experience working with AWS (eg, OpenSearch, AWS ambda, AWS Batch, SQS / SNS, etc.)
You have experience with CI / CD and have knowledge of some infrastructure as a code tool (eg. terraform) and have a significant knowhow of data-architecture and data-infrastructure.
You have knowledge of Apache Spark or PySpark
It is nice to have if you have experience with Elasticsearch or similar technology
You have an analytics and solution oriented mindset.
You are a team player who enjoys working in a collaborative, agile environment
You have good communication skills in both spoken and written English
You will join an International team, located in Berlin, London, Brussels, & Warsaw and become an active part of our large international data science and data engineering community.
We have backgrounds in different quantitative disciplines and share the conviction that the right combination of data, technology and smart algorithms is key and we all share one passion : to apply our expertise to improve e-recruiting.
We are highly innovative, with an excellent track record of delivery. It's important for us to both have the freedom to explore ideas and to bring those ideas to life within a product.
People - Building a company with diverse teams where talent from different backgrounds and culture can contribute, thrive, and flourish.
Integrity - Being uncompromising and consistent in our commitment to integrity.
Results - Driving results for everyone happy employees, happy customers, happy candidates and happy shareholders.
StepStone is a company with clear goals and visions. We focus on growth through innovative solutions, service quality, and qualified employees.
From the very first day at StepStone you will be welcomed and supported by a cooperative team.
Become a member of the data scientist chapter community to help you reach your goals with a personal career plan and trainings.
Participate in workshops dedicated to innovation : get familiar with a new technology or try out a new idea!
Join a dynamic workplace with flat structures, direct communication on first name basis from trainee to CEO, short distances, helpful and engaged colleagues and flexible working hours.
Work in modern and attractive offices or from home.