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Data Engineering Manager

  • Location

    Malta

  • Sector:

    Financial Services

  • Contract Type:

    Permanent

  • Salary:

    Attractive

  • Contact:

    Veronique Amaira

  • Job Reference:

    5450

  • Published:

    about 1 month ago

  • Expiry:

    2019-08-30

  • Client Details:

    Castille

  • Consultant:

    Veronique Amaira

  • Skills tags:

    Hadoop , Java , Spark , SQL

Data engineering manager reporting to Head of Data & Analytics, you will lead a team of Data Engineers using modern tools across Data Integration, Data Warehousing, Big Data and Data Services to consume and expose data from this central function to deliver data for analytics, platforms and business processes

Main Responsibilities:

  • Leading the team to deliver data projects at scale and overseeing performance, training and professional development
  • Setting and driving the technical roadmap through resource requirements, planning and allocation
  • Designing and architect large scale data infrastructure in production (performance, reliability and monitoring)
  • Serving data models as a product to entire organisation through implementation and debugging
  • Supporting the business leads and other stakeholders within the group and subsidiaries with their data needs
  • Coordinating with other technology and infrastructure teams to ensure all bank platforms collect and provide appropriate data for analysis
  • Liaising with the BI team to ensure reporting and analytics needs can be addressed by the centralised data warehouse and data lake, and identifying additional external sources for enrichment
  • Supporting the data quality initiatives by building into the architecture the necessary data integrity and accuracy controls

Skills & Experience required:

  • Degree in Computer Science, Software Development or Engineering
  • A minimum of 5 years’ experience in data engineering
  • Minimum of 2 years’ experience  managing and mentoring teams of data engineers
  • Experience with the Apache Hadoop stack (Spark, Hive, HBase, Pig, Kafka)
  • Experience with Data PaaS and SaaS architecture and tools such as Redshift, Snowflake and S3
  • Knowledge of data platforms such as Talend, Informatica, Pentaho
  • Experience in the transformation of internal platforms to a cloud-based data ecosystem would be considered an asset