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Your Data Engineer job questions, answered
Where can I find Data Engineer jobs in New Zealand?
What does a Data Engineer do?
What skills does a Data Engineer need to have?
The Data Engineer should have comprehensive knowledge of SQL, Python, R, and ETL (extract, transform, load) methodologies and practices. These are to be used to ensure that the data pipeline is working. The data pipeline is a sum of tools and processes for performing data integration and the Data Engineer is tasked with managing all aspects of this infrastructure.
When doing so effectively, a Data Engineer can extract data and process it by building and setting up database systems. These systems can then by used by other stakeholders such as Data Analysts, Business Intelligence Analysts and other Data Engineers. This aspect highlights the need for a Data Engineer to have good interpersonal skills, as working effectively with other teams will allow the Data Engineer to get a better understanding of what is required to achieve organisational goals.
A Data Engineer should be able to identify the most appropriate manner to complete the process of data warehousing. Those with in-depth knowledge of cloud-based data warehouses and other integration tools will be recognised as having the requisite experience to serve as a Data Engineer.
What is a Data Engineer’s job description and responsibilities?
Design, develop and maintain data architecture
Assemble and acquire data which meets organisation requirements
Develop and design processes for data optimisation
Build the frameworks required for large data sets
Use programming languages and data analysis tools that is reflective of organisation goals and metrics
Work with other stakeholders including Data Scientists, who design machine learning and AI models, and deploy these into data pipeline
Deliver updates and analytics to stakeholders
What skills and experience are employers looking for from Data Engineers?
- Communication and Teamwork
- Programming Languages
- Database Systems
- Data Warehousing
- Big Data
What type of employers hire Data Engineers?
- Information Technology – A surge in data and the creation of new systems such as cloud computing has paved the way for a substantial number of Data Engineer jobs. With more data to be stored and analysed, the value that a Data Engineer can bring to these organisations should not be underestimated.
- Fnancial Services – A high volume of Data Engineers are sought in financial services as they have large amounts of data that needs to be store in very robust data warehouses with good data pipelines and established data governance. In addition, organisations within financial services are also starting to invest in big data platforms more, requiring Data Engineers.
- Healthcare – The role of technology in healthcare is growing at a rapid rate. From the systems that now store data to the way it is managed and analysed, there is high demand for Data Engineers.
- Telecommunications – Due to the large volume of data collected within this industry, from the growing use and range of data driven applications available in the market now, there is a continued demand for good data engineers in this area. This is to ensure that the organisation has hardy enough data systems to handle this increased volume of data and to ensure that the data is stored and flows through each system correctly.
A complementary skill that employers seek experience in is data warehousing. Data Engineers should be able to use tools to store, analyse and process data. Hadoop, Hive and Kafka are often referenced as desirable knowledge by employers as they allow for building robust and integrated data infrastructure.
What technologies does a Data Engineer use?
- Programming Languages: Python, Java, Scala, R and Ruby among others
- Database Management Software: SQL and NO SQL
- Cloud Migration: AWS, Microsoft Cloud Azure, Google Cloud Platform
- Data Warehousing: PostgreSQL, Hadoop, Hive, Kafka and others
How much do Data Engineers earn in New Zealand?
Salaries for Data Engineers can vary widely depending on the specific role, location and the type of company they work for. Data Engineer salaries tend to range between $90,000 and $135,000
For our latest guide on typical salaries as a Data Engineer, please refer to our Hays Salary Guide.
How can I become a Data Engineer in New Zealand?
Currently, employers are more focused on experience rather than education. This means that it is essential to develop the technical skills required to be a Data Engineer. This should start with mastering SQL, Python and R along with ETL methodologies.
Expand your knowledge. This can be with respect to programming languages or data technologies and tools (Hadoop, Spark, Hive etc). Similarly, cloud computing services are consistently being noted by employers including AWS and Microsoft Azure.
Gain experience in software in important areas such as software development and data science with emphasis on getting credited where possible. Being able to show certification for skills on your resume will help you stand out.
Work on your core skills as they could be the differentiator. Employers are placing significant value on the ability to communicate effectively and collaborate within a team environment.