Hiring a freelance Data Engineer is a great way to get help with projects that you don't have time or resources to dedicate to a full-timer. A freelancer can help you with building out new data pipelines and datasets; use machine learning algorithms to create predictive models, and perform quality control on your existing datasets. Onboard top data talent for your next project today.
Data Engineers ensure your system can handle and store large amounts of data, and structure it in a way that's easy to use. They analyse data to determine trends and patterns, which can help your business make data-informed decisions.
A Data Engineer's job can be quite complex—they're involved in everything from designing database structures to developing new software applications from scratch. Depending on the scale and complexity of the project, the average day rate for a freelance Data Engineer can range from anywhere between £200-600 per day. For more information about rates, we have a handy annual rates report that you can download for free here.
Data Engineers work with data at every stage of its lifecycle. They use their skills to help create a system to support growth in data volume and complexity. They use large amounts of data to deliver real-time insights so companies can make informed decisions. They might also use statistical or machine learning techniques to identify patterns within this data.
A Data Engineer is an essential part of any data-driven company. They're responsible for building, maintaining and scaling the data infrastructure that powers your business. They work closely with product teams to ensure the data they need is available, and train employees to use the systems in place. That’s why it’s important to hire an experienced Data Engineer—ideally with experience in your industry—so they can start work on your project with minimal training.
Data Engineers have a lot of responsibilities. They're the ones who design and build systems that help your company store and analyse data. Data Engineers should have experience with programming languages like Python or Java, as well as knowledge of cloud-based computing systems like Amazon Web Services (AWS). They also need experience with SQL databases and visualisation tools like Tableau or QlickView.
A good Data Engineer is a polyglot: they should speak different programming languages, databases, and software tools. Data Engineers also have excellent problem-solving skills and can identify issues quickly.
They need to be able to work with a wide variety of people—from programmers to marketers, and business analysts—because their work spans every aspect of a company's technical operations.
Data engineers usually have a background in computer science or engineering, but can also work with analytics, statistics and marketing data. Data engineering requires strong technical skills and experience working with databases, programming languages (SQL), and other computer engineering tools.