How to become a Data Engineer
A data engineer works with data; but it’s more complex than that. Working as a data engineer involves processing data and developing algorithms to make it much more useful and accessible than the raw material.
Those becoming a data engineer must have great numerical skills and a keen interest in digits and systems. The job involves processing difficult data into nice, easy to process, algorithms and reports. While it is similar to data science, data engineering is more about the technology behind data and algorithms than the numbers.
If you’re wondering how to become a data engineer, you’ll need to start with strong developer skills. The person must have an interest in data, and also in the technical side of algorithms.
A degree is beneficial, but not required; the data engineer roadmap shows it is much more desirable to have relevant experience, as a lot of the learning is done on the job. For applicants with no experience, it is recommended to have personal projects that demonstrate skills in the field.
There is a high demand for data engineers – it is one of linked in’s top growing jobs, with roles growing 650% in the last 8 years. This gives people in the field a lot of job security. Data engineer’s salaries are typically very good.
What degree is most commonly held by a Data Engineer?
- BA / M of Computer Science
- BA / M of Information Technology
- BA / M of Data Science
- BA / M of Electrical and Electronics Engineering
- BA / M of Computer Engineering
Career Transportability across Countries
What is the Salary of a Data Engineer?
|Experience||Education||Average salary | year|
What skills are needed to become a Data Engineer?
- Data Analysis
- Microsoft SQL Server
- Data Warehousing
- Business Intelligence
- Amazon Web Services (AWS)
- Microsoft Excel
- Load (ETL)
- Agile Methodologies
- Business Analysis
- Microsoft Office
- Data Modeling
- Requirements Analysis
- Python (Programming Language)
- Apache Spark
- Big Data
Courses for data Engineers
- Data to Insight: An Introduction to Data Analysis and Visualisation
Get a handson introduction to data science exploring principles of statistical analysis and data visualisation
- Big Data: from Data to Decisions
Get a practical insight into big data analytics and popular tools and frameworks for collecting storing and managing data
- Big Data: Statistical Inference and Machine Learning
Learn how to apply selected statistical and machine learning techniques and tools to analyse big data
- Big Data: Mathematical Modelling
Learn how to apply selected mathematical modelling methods to analyse big data in this free online course
- Big Data: Data Visualisation
Data visualisation is vital in bridging the gap between data and decisions Discover the methods tools and processes involved
- Big Data: Measuring And Predicting Human Behaviour
Join us to explore how the vast amounts of data generated today can help us understand and even predict how humans behave
Need even more evidence about why you should learn on FutureLearn?
Data to Insight: An Introduction to Data Analysis and VisualisationGet a hands-on introduction to data science, exploring principles of statistical analysis and data visualisation.Show course overview
Big Data: from Data to DecisionsGet a practical insight into big data analytics, and popular tools and frameworks for collecting, storing and managing data.Show course overview
Big Data: Statistical Inference and Machine LearningLearn how to apply selected statistical and machine learning techniques and tools to analyse big data.Show course overview
Big Data: Mathematical ModellingLearn how to apply selected mathematical modelling methods to analyse big data in this free online course.Show course overview
Big Data: Data VisualisationData visualisation is vital in bridging the gap between data and decisions. Discover the methods, tools and processes involved.Show course overview
Big Data: Measuring And Predicting Human BehaviourJoin us to explore how the vast amounts of data generated today can help us understand and even predict how humans behave.Show course overview