Principle Data Scientist

Our client

Are you aPrinciple Data engineer who is looking for an exciting new challenge? Are you curious about the latest developments in the tech industry and do you want to have influence in bringing these into the team? Then this role could be for you. Our client is one ofIrelands biggest multinational biopharmaceutical companiesand is hiring a hands-on candidate for this role

12 month contract: quarterly renewals for cross charging, project duration 5 years

Hybrid: 3 days onsite 2 days off. To be reduced after 5/6 months

Daily rate: 450-550 Salary of 100k+

What You Will Be Responsible For

As aPrincipleData Engineer, you will:

• Collaborate across a variety of teams to enable our Data Platform and MLOps needs and design, implement, and maintain a secure and scalable infrastructure platform spanning across AWS/Azure and our Data Center
  
• Use AI sytems to Automate processes to optimize manufacturing.
  
• You will Lead team, mentor other engineers and promote software engineering best practices across the organization designing systems with monitoring, auditing, reliability, and security at their core.
  
• Use Infrastructure as Code and containerization to create immutable reproducible deployments and establish best practices to scale that Infrastructure as Code (IaC) project in a maintainable way
  
• Own and ensure that internal and external SLA s meet and exceed expectations, System centric KPIs are continuously monitored
  
• Create tools for automating deployment, monitoring, alerting and operations of the overall platform and establish best practices for CI/CD environments and methodologies such as GitOps
  
• Analyze our AWS/Azure Resource usage to optimize for a balance of performance vs cost
  
• Work on our data lake, data warehouse, and stream processing systems to create a unified query engine, multi-model databases, analytics extracts and reports, as well as dashboard and visualizations
  
• Design and build petabyte scale systems for high availability, high throughput, data consistency, security, and end user privacy, defining our next generation of data analytics tooling
  
• Come up with solutions for scaling data systems for various business needs and collaborate in a dynamic and consultative environment.
  

Minimum Qualifications

Education & Qualifications

• Minimum 8+ years of software development or Data engineering experience with minimum bachelor s degree in Computer Science or Engineering.
  
• Practical experience with Data Engineering and the accompanying DevOps & DataOps workflows.
  
• A deep understanding of CI/CD tools and a strong desire to help teams release frequently to production with a focus on creating reliable high-quality results.
  
• Extensive experience with data lakes, data analysis tool, experience integrating AI into large scale manufacturing processes.
  
• Previous experience in a regulated environment is desired.
  

Technologies

• Databricks (Python & Spark or PySpark)
  
• Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
  
• Experience with ETLs/ELT
  
• Experience with Data Modelling
  
• Understanding of big data principles and ability to implement these (volume, velocity, variety, veracity and value)
  
• Expertise in data processing
  
• Ability to prioritise
  
• Familiarity with Agile framework
  
• Experience designing and building data warehouse, data lake or lake house using batch, streaming.
  

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