Career Development Plans for

Data Engineer

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Instrumental in rolling out analytics applications

Data Engineers are needed to enable Data Scientists and Analysts to carry out advanced analytics more effectively and generate valuable insight from Big Data. Data Engineers are instrumental in rolling out data analytics applications. They help facilitate getting data from a variety of different sources, getting it in the right formats, assuring that it adheres to data quality standards, and assuring that downstream users can get that data quickly, so they can perform whatever downstream task that is, whether reporting or exploratory analytics or building a new model or an algorithm.

With the market for Artificial Intelligence (AI) and Machine Learning-powered solutions projected to grow to $1.2B by 2023, it is important to consider business needs now and in the future. The data engineering role has evolved and now requires a larger set of skills. In the past, data engineers worked with distributed systems and Java programming to use Hadoop MapReduce in the data center, but now they need to leverage AI, Machine Learning, and Business Intelligence skills to efficiently manage and analyse data.

The major responsibilities of this role include:

  • Transforming various types of data into usable forms for further analysis.
  • Creating large data warehouses using ETL
  • Developing, testing and maintaining architectures and dataset processes
  • Deploying Machine Learning pipelines
  • Identifying, designing, and implementing internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.

Some examples of job titles in this career path include:

  • Data Engineer
  • Data Analytics Developer
  • Big Data Engineer
  • Data Architect

Exciting facts about this role


Increase in demand for data engineers over the past 5 years


of these roles are very hard to fill


per annum

The median salary of permanent roles in data engineering

Our Curated Programmes for
Data Engineer

Success-proven training and career development programme in Data Engineering. Develop in-demand competencies to get a highly rewarding job in this field….
Suitable participants : Suitable for novices and beginners in data engineering.
Prerequisites : Basic knowledge of Operating Systems and Virtualization (Hyper-visors).

The perks of becoming a
Data Engineer

Numerous job opportunities
A wide range of roles across all industry sectors
Working with Big Brands
Fantastic opportunities of career progression to senior roles
Excellent remuneration, with top earnings around £150,000+ a year
Job security since your skills are in demand
Career fulfilment since your work influences the strategic direction and performance of your company

Our End-to-End Career Development

Plans Benefit You With

Gain real-world skills and best practices

Our job-focused courses and quality curriculum is designed and taught by industry experts and highly experienced professionals, not academics, so you learn the high-impact skills that top companies want.

Indispensable experience and business acumen

Undertake real-world projects and work on the most popular problems faced by businesses across industry sectors. Learn by doing leads to real skills mastery and business acumen competency.

Maximise job opportunities and salary negotiation

Market yourself effectively thanks to our bespoke CV surgery. Perfect your interview and communication skills through our recruitment prep. Boost your credibility with the new employer thanks to our reference on your project work experience.

Amazing jobs and career progression. Success proven.

98%+ of delegates got fantastic jobs or progressed their career upon completion of their programmes. Invest in your career with the confidence that you will get an attractive job at the end.

Contact Us!

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