Senior Data Engineer (Portugal - Remote)

We're fast learners, hard
workers, natural collaborators... and we Make Modern Happen!

Our ambition is to unlock the
potential of our digital world so that organisations everywhere can innovate
and thrive securely. We aim to achieve this goal by bringing together the
world’s most talented people and the most powerful technologies, combining them
to address our customers' challenges and to build something stronger together.

If you share
our vision, join us!

Right now, we
are looking for an Senior Data Engineer to integrate our talent team.

Your
responsibilities include:

• Re -architect, optimize, and scale big data
  processing components.
  
• Analyze workload patterns and drive improvements
  in performance, reliability, scalability, and cost efficiency.
  
• Ensure the stability and operational excellence
  of Apache Spark workloads running in cloud environments.
  
• Operate, maintain, and evolve Hadoop ecosystem
  components, including HDFS and YARN.
  
• Design, build, and improve data ingestion and
  processing pipelines.
  
• Enhance developer and power -user experiences
  across data science and analytics platforms.
  
• Collaborate with engineers, data scientists,
  product teams, and platform teams to deliver roadmap initiatives.
  
• Develop, deploy, monitor, and support services
  following a "you build it, you run it" DevOps mindset.
  
• Participate in an on -call rotation and take
  ownership of platform reliability and operational health.
  
• Contribute to the evolution of a scalable,
  cloud -native, microservices architecture.
  
  

You
must have:

• 5+ years of experience building and operating
  distributed big data systems.
  
• Strong hands -on experience with Apache Spark,
  including performance tuning, debugging, and orchestration.
  
• Solid software engineering background with strong
  programming skills in Java.
  
• Strong understanding of distributed systems and
  data processing architectures.
  
• Experience with the Hadoop ecosystem, including
  HDFS and YARN.
  
• Experience managing Linux -based environments in
  the cloud.
  
• Experience designing, building, and operating
  ETL/ELT pipelines.
  
• Familiarity with JupyterHub or JupyterLab
  environments.
  
• Experience with CI/CD, monitoring, observability,
  and production support.
  
• Ability to troubleshoot complex distributed
  systems and work autonomously on challenging technical problems.
  
• Strong ownership mindset and commitment to
  operational excellence.
  
  

We
value:

• Experience running Apache Spark on EMR or
  Kubernetes.
  
• Hands -on experience with Kubernetes, AWS S3, AWS
  Glue, Kafka, Apache Airflow, Apache Iceberg, Trino, Nessie.
  
• Experience building automation and data pipelines
  for large -scale data workflows.
  
• Experience developing or maintaining Data Science
  or Machine Learning platforms.
  
• Contributions to open -source projects,
  particularly within the Big Data ecosystem.
  
• Experience supporting high -volume, data -intensive
  platforms in production environments.
  
  

We
offer:

• Regular professional
  development;
  
• Health insurance, with family package;
  
• Regular teambuilding
  programs;
  
• Friendly workplace.
  
  

Workplace: Portugal - Remote

Claranet, Make modern happen!