Data Engineer
Develop infrastructure to help prepare and manage data.
Job opportunities
-
Jobs in Jobstreet right nowJob growth
-
In the last yearSalary
-
Typical monthly salaryJob satisfaction
-
Job opportunities
-
Jobs in Jobstreet right nowSalary
-
Typical monthly salaryJob growth
-
In the last yearJob satisfaction
-
On this page
- What's it like to be a Data Engineer?
- How to become a Data Engineer
- Latest Data Engineer jobs
- Top skills and experience for Data Engineers
What's it like to be a Data Engineer?
Data Engineers work in a variety of settings to set up frameworks that can help identify and collate information. With the use of machine learning techniques, they orchestrate and sustain structures that help with the analysis of data. Accessibility of information is the primary objective of a Data Engineer so other professionals, such as Data Scientists and Business Analysts can interpret them.
Tasks and duties
- Studying and reviewing the organisation’s technology design.
- Implementing big data infrastructure and solutions to meet business needs.
- Providing data analysis consultancy services to customers regarding cyber security, application monitoring and business analytics.
- Defining and implementing data integration.
- Identifying areas where data can be optimised to improve business performance.
- Collaborating closely with data and business owners to support initiatives related to data quality and cleansing.
- Troubleshooting and making recommendations about data issues and anomalies.
How to become a Data Engineer
Data Engineers are highly sought-after in business industries so an extensive educational background paired with professional experience are needed to excel in this career.
- Complete a bachelor degree in maths, science, or a business-related field, such as business administration. In these fields, you will be able to maximise your analytical skills. You may also develop an aptitude for programming languages to mine and query data.
- Apply for an entry-level job after pursuing a bachelor degree. Depending on the industry, you can work as a Business Intelligence Analyst or a Database Administrator. Take this time to pick up new skills that can be relevant as you advance in your career.
- Consider building a portfolio of data engineering projects. A portfolio will show potential employers the range of your skills.
- Consider taking a masters degree in computer science, applied mathematics, or engineering. Given the degree of importance of a Data Engineer, additional formal education will help boost your chances of getting employed. Experience utilising data tools would also be beneficial.
- Once you have enough experience and you’ve built an impressive portfolio, look for employment opportunities as a Data Engineer in business industries.
Compare your salary
Find out how your salary compares with the average salary for Data Engineers.Latest Data Engineer jobs on Jobstreet
Be one of the first to discover these recently listed jobs, or browse all Data Engineer jobs on Jobstreet right now.Did you find this helpful?
Skills and experience employers are looking for
Having the right skills and experience can make you an in-demand applicant. Data Engineer employers on Jobstreet are looking for job seekers with expertise in the following areas. Pipelines
Data Engineering
Data Warehousing
SQL Query Language
Python Programming
Hadoop
Data Quality
Extract Transform and Load
Data Architecture
Data Modelling
Big Data
AWS
Apache Kafka
Data Integration
Data Lakes
Microsoft Azure
Databricks
Data Processing
Scala Programming
Java Programming
Source: Jobstreet job ads and Jobstreet Profile data
Did you find this helpful?
