As there are incredibly sophisticated means of gaining a wide range of data about every aspect of a business and its functions, data engineers have become very important and numerous roles. Data engineers develop and build data products to then integrate them into existing business processes and systems. This can include AI analytics or machine learning. Data acquisition, data transformation, data migration, data verification, data modelling, and data mining processes can also fall under their remit.
What Skills Do Data Engineers Need?
Anyone who wishes to become a data engineer will need a minimum of a bachelor’s degree in any of the following:
Software or computer engineering
Due to the technical nature of this role, other hard skills include:
Knowledge of basic data engineering
Programming skills in languages such as Python and Java
Solid understanding of operating systems
Knowledge of SQL and NoSQL
Data Warehousing including Hadoop, MapReduce, HIVE, PIG, Apache Spark, Kafka
In order to get the necessary skills to fast track becoming a data engineer, there are a number of professional certifications and qualifications available. Data engineering specific qualifications include:
Google’s Certified Professional (data engineering)
IBM Certified Data Engineer (Big Data)
CCP Data Engineer from Cloudera
Microsoft Certified Solutions Expert (MCSE)
Data Engineer Soft Skills
Soft skills for data engineering are harder to define due to the technical proficiency required for the role. Certain desirable skills, however, include good time management, being able to complete tasks and projects in a timely manner will help the entire team meat their quarterly targets. Both written and verbal communication skills are a must as there are many instances where a data engineer will need to put together and deliver presentations to staff members of varying seniority. Multitasking is also an important skill because at any one time, a data engineer will be involved with several projects.
What Types of Data Engineer Jobs are There?
Data Architect –A data architect has more knowledge of tools such as SQL, XML, Hive, Pig, Spark, etc. They create the foundation for the data management systems to integrate and maintain all the data sources.
Data Engineer – A data engineer builds pipelines to ensure the integration, consolidation and cleansing of data, including structuring for use ins individual analytics applications. Data engineers will have skills in programming languages including C#, Java, Python, Ruby, Scala and SQL.
Database Administrator – this kind of role is oriented around a knowledge of databases and responsibilities include updating and maintaining accessibility of all databases for all users.
Salary Expectations for Data Engineer Jobs:
The average data engineer job salary is between £55,000 – £90,000 but there are some organisation, particularly in the financial sector, who will pay more.
Senior Python Engineer – London
Salary Up to £85k + bonus and excellent benefits
SectorData Engineer Python Developer
Senior Python Engineer - London
Senior Python Engineer is required within the Data Engineering team for an exciting and innovative Software House Company/Sports Betting based in London. Data is the backbone of what the company does, a...
Data Engineer is required by one of the largest independent holder of search data, connecting the real-time searches of over 2bn people globally. The company was founded in 2011 and their clients include some of the most respected names ...
Salary Up to £90,000 per annum with equity and flexi working
Senior Data Engineer - FinTech
About the company
This company is utilising the power of Open Banking to better empower consumers and to provide a more accurate reflection of your account and financial history. Working with a range ...