People, Person

Data Engineer

Dublin

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Data Engineer

Dublin, Ireland | Permanent | Full time

Data Engineer

Full time | Dublin | Ireland

Description of business unit

Group Internal Audit (GIA), together with Group Credit Review, forms the 3rd line of defence for the Bank of Ireland Group, providing assurance on the effectiveness of the first and second lines of defence in risk management, internal control and corporate governance across the Group. We provide independent challenging, risk focused assurance that meets our key stakeholders' needs. Our key stakeholders include the Court, Group Audit Committee (and subsidiary audit committees), the Court Risk Committee and senior management, as well as other key parties, including the Group's regulations and external auditors. We have a Group-wide remit and, as a result, have a deep insight into all of the Group's activities and access to the most senior levels within the Group.

The Data Solutions & Analytics portfolio was set up in September 2018 to enable Group Internal Audit to drive further independent insight and opinion through the provision of data driven products and capabilities. The Data Solutions & Analytics portfolio has responsibility for:

  • Design and execution of the division's data and analytics strategy
  • Design, development and deployment of Group wide advanced analytics risk management and assurance solutions.
  • Provision of data and model risk assurance for the Group, including transformation assurance on key strategic programmes.
  • Buildout and development of GIA's strategic analytics architecture; and
  • Driving the capability and training strategy to embed data and analytics skills across GIA.

The role holder will deliver end to end projects within the data and analytics strategy, utilising Agile principles and contribute towards driving Group Internal Audits utilisation of advanced analytics techniques (such as machine learning and natural language processing) to drive risk management activities across the Group.

Purpose of the Role

This is a cross functional individual contributor role to lead the technical solution delivery for analytics projects, realising value of the Groups data. You will design, develop and deliver solutions to teams across Group Internal Audit utilising data from across the Group, and using the latest technologies in data exploration, modelling and visualisation. You will have an opportunity to partner with the business on a wide range of projects, collaborating on appropriate ways of working and proposing new methodologies. You will contribute more broadly to the achievement of Group Internal Audit strategic plans and priorities.

Key Accountabilities

  • Design, develop and implement data models, and end to end (E2E) transformation processes, to unify data from multiple internal and external data sources
  • Create data tools for data scientists to assist in the development and enhancement of assurance and risk insight capabilities
  • Interface with stakeholders to understand E2E data requirements, including non-functional requirements
  • Identify, design, and implement internal process improvements, including automation, scalability and performance engagements
  • Design, develop and implement data quality measurement services for core data feeds
  • Create and manage key documentation for data services, including design and transition management
  • Support existing extraction, transformation and loading processes in production
  • Contribute towards Group Internal Audits data & analytics strategy and the Data Solutions & Analytics portfolio through the identification of new value add data exploitation and continuous improvement opportunities
  • Promote awareness of data analytics, emerging industry trends (incl. regulation) and a digital future across Group Internal Audit
  • Collaborate cross-functionally (with other teams within Group Internal Audit, and across the wider Group) to refine recommendations and develop next best action plans for risk management.
  • Contribute to a creative culture centred on an agile environment, value prioritisation and design thinking

What is the Opportunity?

  • The successful applicant will have the opportunity to help drive the execution of GIA's multi-year data and analytics strategy, with a view to embedding data driven risk management solutions across the function

Essential Qualifications

  • Third Level qualification, in computational science, computer science, mathematics, statistics or another discipline including a significant quantitative element

Essential Skills & Experience

  • Experience in designing, developing and implementing data models, and end to end (E2E) transformation processes, to unify data from multiple internal and external data sources
  • Advanced SQL knowledge (preferably HQL and/or Teradata SQL) and experience working with both relational and non-relational data stores
  • Experience in managing and unifying reference data across multiple core platforms
  • Experience in performing data quality analysis, and presentation of findings, to key stakeholders
  • Experience in developing processes in Python/Spark to facilitate the acquisition, transformation and enrichment of semi-structured and unstructured data
  • Knowledge of the Cloudera Hadoop platform, and associated tools (i.e. pySpark/sparkR)
  • High level of discretion, capable of dealing with highly confidential and sensitive information
  • Excellent time management and organisational skills with the ability to work on own initiative
  • Strong attention to detail and high levels of accuracy and a strong team ethic and flexible approach in order to meet challenging objectives and deadlines

Desirable Qualifications, Skills & Experience

  • Experience in applying analytical techniques to semi-structured and un-structured datasets
  • Experience in developing and validating machine learning models through SAS Enterprise Miner, Python, R, pySpark etc.
  • Knowledge of the Cloudera Hadoop platform, and associated analytical tools (i.e. pySpark)
  • Experience in applying supervised and unsupervised machine learning methods such as logistic regression, decision trees, neural networks, graph analytics, clustering etc. to real world business problems

Key Competencies

  • Amplify Capability - 1. Self
  • Accountable - 1. Self
  • Champion Transformation - 1. Self
  • Manage Risk - 1. Self
  • Agile - 1. Self

Where Agency assistance is required Bank of Ireland Recruitment Team will engage directly with suppliers. Unsolicited CVs / profiles supplied to Bank of Ireland by Recruitment Agencies will not be accepted for this role.

Closing date: Jan 27, 2020

Apply now

Our application form takes just minutes to complete. If you have any questions about our application, you can contact our recruitment team directly.

 

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