powered by bigency

DATA ENGINEER AZURE

As a Data Engineer Azure, you will be designing, implementing, monitoring, and optimizing data platforms to meet our customers’ data pipeline needs.

Data Engineer Azure (SR)

Relocation Belgium – Pluralit Europe

PLURALIT Inclusive Technology

We connect Latin American talent with European customers and projects.
Our offices are based in the UK and Belgium. We are present across Europe & Argentina. 
We believe in a culture of partnering:

  • With our European customers to deliver long-term value;
  • With our people in Latin America to help them grow and develop their careers;
  • With our partners to develop the very best solutions for our customers.

We are a kind, driven, open and ambitious bunch. We are energised and captivated by complex challenges. We come seasoned with commercial sense, common sense and a sense of humour. And we do not believe these values are mutually exclusive.

THE POSITION

As a Data Engineer Azure you will be responsible for:

  • 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.
  • Minimizing data loss and making 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.

YOUR PROFILE

  • You obtained a higher degree in Computer Sciences, ICT Engineering or similar.
  • 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 strong communication skills and can express yourself to both Business & Technical colleagues, both spoken and written in English.
  • 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 are able to handle pressure and deadlines.
  • You have worked already in an agile environment and are used to remote work.
  • You are an active learner and are passionate about proactively discovering and sharing new AI, Data Science and Data Engineering related technologies.

Required:

  • 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 have ideally worked with products like Azure Data Factory, Azure Event Hubs and Data Lake. Additionally, you have experience using products like Databricks, Sparka, Scala, Snowflake, PySpark.
  • You have experience with relational databases and SQL.
  • You have knowledge of reporting tools like Power BI, 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.

WHAT DO WE OFFER YOU?

We offer you a unique opportunity to elevate your career with a world-class international experience. You will be part of a company that looks for the most efficient strategy to actualize biotech and pharmaceutical products soon and improve the lives of patients worldwide.
Looking for a permanent relocation, you will boost your credentials in a high-growth international work environment that fosters entrepreneurship and innovation.

Location & Travel

  • Based in Belgium.

Conditions

  • Permanent employed by PLURALIT Europe BV.
  • Migration, Onboarding and Relocation services for you and your family group.
  • Full-time position Mon-Fri.
  • Home-office 2 times per week (non-covid times)
  • The contract may start remotely, till the working visa is executed.