Senior Data Engineer (12-month FTC)

Swan iT is searching for a Senior Data Engineer to join a client on a 12-month Fixed Term Contract. You will be responsible for designing, building, and maintaining robust, scalable data pipelines and platforms to support advanced analytics, BI, and data-driven decision-making.

As the Senior Data Engineer, you will bring strong technical experience, show leadership in data initiatives, and work closely with both technical and business stakeholders to ensure high-quality data solutions

Responsibilities:

• Data Engineering & Pipeline Development
  
  
  
  • Design, develop and maintain complex data pipelines from multiple sources into a central data platform/lakehouse.
  
  
  • Ensure reliability, scalability, and maintainability of pipelines.
  
  
  • Optimize data flows and data quality checks.
  
  
  
  


• Data Platform Design & Maintenance
  
  
  
  • Contribute to the architectural design and enhancements of the data platform.
  
  
  • Support the implementation of cloud-first data solutions, primarily in AWS.
  
  
  • Lead initiatives for automation, monitoring, and CI/CD for data engineering workflows.
  
  
  
  


• Technical Leadership & Mentorship
  
  
  
  • Provide technical guidance and mentorship to Data Engineers.
  
  
  • Advocate for best practices in data engineering, including version control, testing, and documentation.
  
  
  • Conduct code reviews and support knowledge sharing across the team.
  
  
  
  


• Stakeholder Collaboration
  
  
  
  • Collaborate with data scientists, analysts, software engineers, and business stakeholders.
  
  
  • Translate business requirements into technical specifications and deliverables.
  
  
  • Support data consumers by developing reports, data products, and self-service solutions.
  
  
  
  

Requirements:

• A degree or diploma in Computer Science, Information Systems, Engineering, or a related field.


• 4–7 years of hands-on data engineering experience.


• Advanced proficiency in Python and SQL.


• Strong database design knowledge and experience with data warehousing techniques and modelling approaches.


• Experience building and maintaining cloud-based data architecture (AWS preferred).