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​The Top Five Jobs in Big Data

5 months ago by Mark Townsend

​The Top Five Jobs in Big Data

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Big Data is the buzzword in all areas of industry at the moment. Businesses are now having to deal with vast amounts of data relating to their day to day operations - and the challenges that come with this. Not only does data need collecting, but it also needs to be organised, stored and interpreted if it is to be of any value.

The recent 'State of Big Data in the UK 2019' survey by WHISHWORKS revealed that 81% of respondents said that their investment in big data projects was increasing in their companies. The main drivers behind this investment in big data are IT Transformation and Modernisation, business growth and a desire for innovation and strategic differentiation.

This is excellent news for those candidates who are looking for jobs in big data as demand for employees with big data skills is increasing rapidly. In fact, a report commissioned by the Royal Society in May 2019 states that "demand for workers with specialist data skills like data scientists and data engineers has more than tripled over five years (231%).

Taking all of this into account, then, here are the top five jobs in big data at the moment. 

#1 Data Engineer

Data engineers work with sets of data in order to enhance data science goals. Unlike a data scientist, they are not generally as involved with overall strategic analysis, but they are more hands-on with the data sets in order to make it useful to a project. They look at how the data is acquired, how it is refined, and how it moves through the pipeline as well as ensuring companies end up with the right data assets (Techopedia).

Preferred Qualifications - You must have a degree in computer science or engineering if you wish to have a successful career in data engineering. You should also have strong knowledge of coding languages such as Hive, Kafka and Python as well as Linux systems knowledge and proficiency in SQL data design.  Other skills that are in demand are the ability to work both independently and, in a team, as well as excellent communication skills.

#2 Data Analyst

A data analyst is a professional who works with data to provide insights into that data. One of the most common definitions of what a data analyst does is that they "translate numbers into plain English", meaning they take raw data and analyse it to produce digestible results that executives can use to make more informed decisions (Techopedia).

Preferred qualifications - the fact that data analysts will be working with data all day long means they must have extensive knowledge of computer programmes such as SharePoint, SQL databases and Microsoft Access. Data analysts also need to be able to demonstrate excellent communication and presentation skills as they need to be able to explain complex data to company stakeholders.

 #3 Data Architect

A data architect is an individual who is responsible for designing, creating, deploying and managing an organisations data architecture. They define how the data will be stored, consumed, integrated and managed by different data entities and IT systems as well as any applications using or processing that data in some way (Techopedia).

Preferred qualifications - common attributes and job skills that employers look for in data architects include excellent analytical acumen, advanced technical proficiency in languages such as SQL & XML, problem-solving skills and strong detail orientation. A bachelor's degree in a computer science-related field is usually recommended as well.

#4 Data Scientist

A data scientist is an individual who performs data mining, statistical analysis and data retrieval processes on a large amount of data to identify figures, trends and other relevant information. Data scientists tend to be part of the marketing and planning processes within businesses, as they can identify useful insights and derive statistical data from planning, executing and monitoring result-driven marketing strategies (Techopedia).

Preferred Qualifications - An advanced knowledge of the different data mining techniques such as clustering, decision trees and regression analysis is a must for IT data scientists as is a knowledge of Natural Language Processing.  A Masters or PhD in computer science is also a must, and some work experience in this field also helps as well.

#5 Data Manager

The role of a data manager is to supervise a company’s numerous data systems and networks, including organising, storing and analysing company data as effectively as possible as well as safeguarding a company’s security and confidentiality standards (Betterteam).

Preferred Qualifications - If you take a look at job adverts for Database Managers you will see that most companies will require you to have a bachelor's degree in a computer-related field such as computer science or information technology and some time spent in
data analysis or database development position. You should also be well-versed in the different big data tech such as MongoDB, Rainstor, Presto and Kafka.

If you are looking for a career in Big Data, then come and talk to the specialist team at Agile Recruit. We have offices in both Manchester and Milton Keynes.