Data Engineer

Data Engineer

The area of data science, data analysis and data management is one which is increasingly important, and in many cases, vital to modern business operation. The role of a Data Engineer is to maintain data systems and optimise data infrastructure, both in terms of functionality and accessibility. A Data Engineer supports developers, programmers and systems administrators and other data functions to ensure data is managed, structured and used correctly.

Work as a Data Engineer is varied and detailed, with ever expanding data sets adding to the role and what will be required of you. A Data Engineer must be incredibly detail oriented and be able to support the data needs of different teams, projects and clients.

Roles & Responsibilities

Some of your roles and responsibilities as a data engineer would be:

  • Creating and maintaining data architecture
  • Assembling complex data sets that meet functional / non-functional business requirements.
  • Identifying, designing and implementing internal improvements, automating manual processes, optimising how data is delivered and re-designing infrastructure for greater scalability, etc.
  • Building the infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources using coding language and related ‘big data’ technologies.
  • Building analytics tools that utilise data to provide actionable insights
  • Working with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
  • Keeping our data separated and secure across national boundaries and complying with GDPR.
  • Creating data tools for analytics and data scientist team members that assist them in building and optimising data sets.
  • Work with data and analytics experts to constantly expand the functionality of data sets.

Who you will work with

Your role as a Data Engineer is a very collaborative one and you will work across a variety of teams and functions in terms of support and developing the data architecture within the organisation. Some of the roles and functions you would expect to work alongside would include:

  • Cloud Computing Engineer
  • AI Engineer
  • SQL Programmer
  • Java Developer
  • Cyber Security Expert
  • Full Stack Web Developer
  • Systems Administrator
  • Security Specialist
  • Computer programmer
  • .NET Developer
  • SAP Developer
  • Python Developer

Professional qualifications

Normally, for a career as a Data Engineer you would have a degree in statistics, mathematics or a related discipline. Other relevant subjects include science or economics.

How your career can develop

There will be excellent career opportunities in this area, which is expanding rapidly. According to the Government, the demand for data analytics means there are over 17,000 positions likely to be available in this area by 2020. These would be at various levels, from graduate roles and experienced hires. It is estimated that there will be another 3,630 positions for deep data analytical roles and an additional 8,780 potential roles in terms of supporting big data.