Important things to know
Today’s businesses run on data, and Data Engineers are a critical part of that process. With the surge in artificial intelligence (AI) adoption, AI models rely on clean and quality data sets to operate effectively, hence the role of a Data Engineer has become increasingly important
Data Engineering is one of the fastest-growing fields. Companies are making massive investments in data infrastructure, and this has created a massive demand for skilled engineers who can build and manage these infrastructures.
Demand for those with this skill increases as more businesses adopt data management and analysis tools to manage their data, making data engineering a career with strong potential for long-term growth and progression.
Why choose a career as a Data Engineer?
Being in an in-demand field due to the high growth of data and businesses' reliance on data-driven decision-making, there are even more compelling reasons why data engineering is a great career choice
- Increased demand translates into huge salaries for professionals as businesses look to recognize and hire the best talent. As a beginner, you can expect an entry-level salary to start around £41,000 to £45,000, with experienced professionals easily commanding over £100,000.
- Data engineering involves designing efficient data pipelines and implementing innovative solutions. This work environment can be really rewarding for those who enjoy solving technical problems and tackling business challenges.
- Data Engineers play an important role in helping organizations extract valuable insights from their data; their work can have a significant impact on business and help shape global outcomes.
5 steps to get you started as a Data Engineer
Learn the Skill
Before you can be an expert, you need to master the fundamentals of data engineering. Understand key terms and concepts used in the field. Terms such as ETL, ELT, data warehouse, data pipeline, batch data vs streaming data, etc. These words should be added to your data vocabulary. This will help you build confidence.
Build a Strong Foundation in Programming and Databases
Data Engineers use programming languages and databases to build and manage data pipelines. Start with languages that are essential for storing and transforming data, such as Python and SQL.
Master Cloud Platforms
Most UK companies are migrating their data to the cloud, making cloud knowledge an important skill for data engineers. Get familiar with at least one of these major cloud platforms: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. This gives you a great advantage and edge in the job market
Build a Portfolio Project
A portfolio of projects is, in no doubt, the most important strategy to position yourself as a data engineer. Getting certifications is good, but it isn’t enough; you need a demonstrated showcase of what you have learnt. Portfolios provide you with that opportunity.
Networking and Keep Learning
Networking plays a big role in helping fast-track your journey into data engineering. Join data-related communities on LinkedIn, online forums, and attend meetups. Keep learning new tools and stay updated about the data ecosystem
If you think a career as a Data Engineer could be a good fit for you, here is one way to get started.
Join the Amdari data engineering work experience internship.
With our unique, industry-leading training, we can help you build valuable skills, gain confidence and land a job in data engineering. Our team of specialists are trained to provide one-to-one support to help you develop your skills and advance your career. You will also build useful connections and a great support network of peers, giving you access to more career opportunities.
Ready to get started in Data Engineering? Our representatives are on stand-by to guide you on how to get started. Book a call here
