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Data Engineering Manager

  • Location

    Malta

  • Sector:

    Technology

  • Salary:

    Attractive

  • Contact:

    Veronique Amaira

  • Job Reference:

    7050

  • Published:

    about 1 month ago

  • Expiry:

    2020-10-30

  • Client Details:

    Castille

  • Consultant:

    Veronique Amaira

New Opportunity as a Data Engineer has been risen with one of our clients in the Technology Industry! 

You will be accountable for the development of the team, leadership, Big Data Platform strategy and execution, direction on design of data pipelines and managing operations. 

Main Responsibilities: 

  • Directing the necessary re-architecting and design improvement of the data engineering ecosystem that comprises the data ingestion processes, the data lake, the data warehouse and BI platform 
  • You will be managing, motivating and mentoring the team whilst ensuring succession planning and career guidance for the respective team members 
  • Assisting in the  technical architecture and documentation standards, policies and quality assurance procedures 
  • Coordinating and providing technical leadership to other members of the team on application design and development 
  • Following the project work plans to meet functionality requirements, project objectives and timelines 
  • Proposing enhancements to existing processes and liaising with Technical Architects to introduce new technologies which facilitate the BI and development process 
  • Providing support for project management tasks including planning, reporting and adherence to established processes/procedures 

Skills and Experience Required:  

  • Bachelor's Degree in IT/Engineering or equivalent 
  • Minimum of 5 working  years’ experience in data engineering environments, data warehousing and data architecture 
  • Project management experience related to data architecture  
  • Excellent knowledge of distributed computing frameworks such as Hadoop, Map Reduce and Spark 
  • Experience in defining and adhering to data governance frameworks 
  • A solid understanding together with applied experience of stream, message and event based real time architectures built on technologies such as Kafka 
  • Experience in OLAP Technology 
  • Have working knowledge of visualization tools such as Microsoft Power BI, Tableau or Qlik Sense 
  • Highly skilled in SQL and programming or scripting language (Java, Scala, Python etc…) 
  • Highly self-driven, motivated individual who firmly believes in a growth-based culture 
  • Experience in managing or leading a team 
  • Certified and have experience in Cloud-based infrastructure 
  • Experience in MS BI Stack (SSIS/SSRS/SSAS) 
  • Have experience and knowledge in Dimensional Modelling in Data Warehousing 
  • Experience with machine learning 
  • Have working experience with data warehousing infrastructure such as Hive or Impala  
  • Familiar with development approaches of CICD, Microservices and containerization