Daxx is looking for a Data Engineer for the Arinti team.
About the client
We are an Applied Artificial Intelligence Solution Provider. Our mission is to help organizations grasp the power of the AI revolution. We build solutions for a future where machine learning and data science will be the driving factors of your business in a constantly changing reality.
At Arinti we believe in the power of Artificial Intelligence. It will reshape our world in the following years and fundamentally change the way people interact with ‘machines’; whether this is your smart digital assistant at home or your interfaces at the office showing you all sorts of predictive outcomes and metrics.
Our customers are active in different sectors. The projects we tackle together with them vary from automating support by building chat- and voice bots, advanced online personalization and recommendation, data science and machine learning projects for increasing cost-effectiveness and optimization, to automating processes in the supply chain, predictive maintenance and decisions in the context of maintenance applications, and smart health and patient data applications for customers in the sports and healthcare sector.
Young and dynamic team
We offer challenging jobs with career opportunities in a stable company that values quality and commitment. Our young, dynamic team encourages knowledge sharing in order to stay on top of the latest Al technology trends.
We believe your job should be a personal enrichment. That is why we heavily invest in all kinds of training and learning opportunities, both on and offline. We give our people unlimited access to a bunch of learning platforms, seminars and conferences.
At least four times a year we organize our ‘Academy Days’ to enable knowledge sharing between all our consultants working on different projects. These Academy Days are a great way to catch up with and learn from Arinti colleagues. The days always end on a fun team activity.
Designing, implementing, monitoring, and optimizing data platforms to meet our customers’ data pipeline needs.
Setting up data pipelines and data stores that are high-performing, efficient, organized, and reliable.
Minimize data loss and make even the most complex data accessible for business analytics.
Applying monitoring and analytics solutions to optimize the performance of analytical systems and data loads.
Implementing the highest security controls to ensure that our customers’ data is protected at all times.
Closely collaborating with Data Scientists and BI professionals.
You preferably have a few years of professional experience in a similar role or have a large interest and personal experience with Data Engineering.
You have experience with and understand big data concepts and approaches like Data Lakes, Data Warehousing, Data Pipelines,…
You have hands-on experience with cloud computing, preferably on the Microsoft Azure stack. You’ve ideally worked with products like Azure Data Factory, Azure Event Hubs and Data Lake. Additionally, you have experience using products like Databricks, Spark, Scala, Snowflake, PySpark,…
You have good software engineering skills in programming languages like Python or Scala.
You have experience with relational databases and SQL.
You have knowledge of reporting tools like PowerBI, Tableau or R Shiny.
Experience with stream processing is a plus.
You (ideally) have experience with microservices & event-based architecture (event store etc.)
You have experience with web services and REST API’s.
You are a mature person, analytical in nature and education, have a high sense of responsibility, take initiatives and are able to work autonomously and committed in a team, but you don’t take yourself too seriously either. You’re able to handle pressure and deadlines.
You have worked already in an Agile environment and are used to remote work.
You’re an active learner and are passionate about proactively discovering and sharing new Al, Data Science and Data Engineering related technologies.
You have strong communication skills and can express yourself to both Business & Technical colleagues, both spoken and written in English. Knowledge of French or Dutch is considered a strong asset.
You obtained a higher degree in Computer Sciences, ICT Engineering or similar.
Direct cooperation with the customer
Dedicated HR/ Client Manager
Regular performance reviews
Competitive salary, medical insurance, 20 working vacation days