BI/Data Engineers

Hire BI/Data Engineers

Raw data in a corporation may take numerous forms, including marketing figures, human resource information, budgets, and sales volumes. Business owners may be aware of this information, but they will not perceive its worth until it is extracted and presented in an easy-to-understand way. Business intelligence (BI) is a combination of tools and procedures that pulls together and extracts value from all of these diverse forms of data.

Data is generated in modern systems by several applications. These apps include several databases containing various information, such as enterprise resource planning (ERP), customer relationship management (CRM), production systems, and so on. As the organization grows, so does the number of apps, resulting in a plethora of data sources. A substantial volume of data is dispersed across the organization in different forms. This makes it difficult to analyze and visualize the right business situation. Data engineers assist in the extraction of relevant information from raw data.

As the need for data has grown across the board, the need for BI and data engineer roles has surged. Here’s how to get started as a BI/Data engineer.

What does BI/Data engineering entail?

Business intelligence is critical in data collecting since it includes questioning, reporting, and answering inquiries about what occurred in the past. Many entrepreneurs misunderstand the value of business intelligence, believing that business analytics would provide answers to all of their issues. In reality, business intelligence plays a critical role in data collecting and may provide answers to many previously unanswered problems.

Demand for data-related jobs has risen considerably in recent years, and this trend is expected to continue as more businesses adopt Big Data. Data engineers play an important role in data analysis, translating raw data into useful business insights.

Because of their proficiency in processing complicated datasets and extracting usable information from them, BI/Data engineers are highly trained and earn high incomes.

What are the duties and functions of a BI/Data engineer?

Data engineers are in charge of designing and constructing a reliable infrastructure for converting data into formats that data scientists can interpret. They must be able to spot patterns in large datasets and create scalable procedures for transforming semi-structured and unstructured data into useful representations. They basically prepare and convert raw data in order to utilize it for analytical or operational reasons. A Business Intelligence Developer’s role is to work with end users to design reporting systems that provide easy-to-understand data for decision-making. The BI Developer uses business intelligence to address organizational difficulties by evaluating warehouse data. A Business Intelligence Developer is a member of an organization’s analytics team who is responsible for data design, access, use, security, and the quality of information assets throughout the enterprise. A typical BI/Data engineer workday includes the following tasks:

  • Work on the design, development, and implementation of data structures for BI systems.
  • Make recommendations to improve the performance, data handling, and development process efficiency of the client’s existing BI model.
  • In charge of integrating new data quality components into the client’s platform.
  • Create and manage comprehensive dimensional data models and multidimensional databases.
  • Assist with data extraction from the source system and entry into the data warehouse staging area.
  • Validate data, assure data accuracy, and ensure that data is according to business standards.
  • Maintain a record of ongoing maintenance and operations for future use.
  • Create, restructure, and maintain web services that consume stored data.

How do I become a BI/Data engineer?

You may start or enhance your career in BI/data engineering with the correct mix of skills and abilities. A bachelor’s degree in computer science or a similar subject is often required for BI/Data engineers. In this continuously changing business, a degree may help you create a firm foundation of knowledge. A master’s degree may also help you develop in your work and obtain access to higher-paying positions.

A bachelor’s degree in computer science, engineering, applied mathematics, or a related IT subject is often required for BI/Data engineers. Because the position needs a high degree of technical expertise, prospective BI/data engineers may learn that a boot camp or certification will not be adequate to compete.

Connect with fellow BI/Data engineers and analysts to learn more about the job and the skills required to succeed. Developing ties with other professionals in this sector may also aid in the acquisition of good references for job applications. Engaging with specialists inside your current business or attending networking events might help you broaden your network.

Let’s take a look at the abilities and methodologies you’ll need to master to be a good BI/Data engineer:

Qualifications for becoming a BI/Data engineer

The first stage is to gain the core skills required to get a high-paying position as a BI/Data engineer. Let’s go through what you should know.

  1. Business Intelligence platform

    Businesses utilize business intelligence software to gather data from internal and external sources. During an interview, you may anticipate being asked to analyze the company’s platform, which might be Oracle, Microsoft, Tableau, or MicroStrategy. It is critical to have a broad awareness of the platform’s functionality, as well as any new features incorporated in the most recent version. You should also understand the technological architecture and how it compares to other business intelligence platforms on the market.
  2. Apache Hadoop and Spark

    Because HTML and CSS are primarily static, they are ideal for a text-only website. JavaScript is another useful feature to responsive webpages. It allows you to add interactive elements to your website, like as polls, slideshows, and forms that recognize touchscreen users’ actions. This client-side scripting language allows you to add dynamic elements to your website, such as page animation, scrolling, audio, and video.
  3. C++

    C++ is regarded as one of the most effective programming languages for processing large amounts of data. It can compute data at a rate of one gigabit per second. This enables C++ to do real-time predictive analytics while protecting the integrity of the system of record.
  4. Data modeling

    As a Business Intelligence Developer, you must first configure the environment on the BI Platform. This is required for reporting and data analysis. To understand corporate processes and how data travels across the firm, you will need to interact with your colleagues. To be able to change and retrieve data, you must have excellent SQL abilities. Finally, you must understand the organization’s BI Platform in order to construct the environment around its unique capabilities.
  5. Azure

    Azure is a Microsoft cloud platform that simplifies the deployment, administration, and maintenance of servers and applications. Azure streamlines server and application deployment and maintenance with an easy-to-deploy integrated analytics solution. The bundle includes pre-built services for everything from data storage to advanced machine learning. It is critical that BI/Data engineers specialize in Azure.
  6. APIs for data

    An API (application programming interface) allows front-end and back-end programs to communicate with one another in order to execute a task. Web applications, for example, employ an API to communicate between the user interface and the back-end functionality and data. An API enables an application to access a database, get information from relevant database tables, process the request, and give an HTTP-based answer to the web template, which is then shown in the web browser. Data engineers provide APIs in databases to allow data scientists and business intelligence analysts to query the data.

How can I find remote BI/Data engineer jobs?

You must plan a successful job search while getting as much practical experience as feasible. Before you start searching for job, consider what you’re seeking for and how you’ll utilize that information to reduce your alternatives. When it comes to showing to employers that you are job-ready, it’s all about getting your hands dirty and putting your abilities to use. As a consequence, it’s vital to keep learning and improving. If you work on a lot of open-source, volunteer, or freelancing projects, you’ll have more to speak about in an interview.

Works offers the top remote BI/Data engineer jobs that will meet your BI/Data engineer career objectives. Experiment with cutting-edge technologies to solve complex technical and commercial challenges. Join a network of the world’s top developers to discover full-time, long-term remote BI/Data engineer jobs with higher salary and growth chances.

Job Description

Responsibilities at work

  • Assist with the design, development, and implementation of BI platform data architecture.
  • Examine the client’s existing BI model and provide recommendations for improved performance, data management, and a more efficient development process.
  • Lead the development of new data quality components for the client’s platform.
  • Create and maintain precise dimensional data models as well as multi-dimensional databases.
  • Assist in the extraction of data from the source system into the staging area of the data warehouse.
  • Ensure data validation, correctness, data type conversion, and implementation of business rules.
  • Make documentation of ongoing repairs and operations for future use.
  • Create, restructure, and maintain a web service that consumes stored data.


  • A bachelor’s or master’s degree in engineering, computer science, mathematics, or statistics is required (or equivalent experience)
  • At least three years of hands-on experience as a data engineer is required (rare exceptions for highly skilled developers)
  • Excellent SQL and Python knowledge and skills
  • Experience with Microsoft SQL Server, SSIS, SSAS, SSRS, and PPS, including understanding of client systems
  • Expertise in creating and calling web service APIs
  • Knowledge with Microsoft Visual Studio and Team Foundation Server
  • Expertise in data collection and analysis
  • Experian, Trillium, Informatica, and other data quality solutions must be integrated.
  • Working knowledge of multidimensional (OLAP) databases
  • Clear understanding of database administration ideas, principles, and data management
  • Worked with ETL tools for data extraction, cleaning, optimization, and loading
  • English fluency is required for good communication.
  • Work full-time (40 hours per week) with a 4-hour overlap with US time zones

Preferred skills

  • Understanding of data lakes and cloud data warehouse platforms
  • Working knowledge of Amazon Web Services
  • Working knowledge of Agile environments
  • Outstanding organizational and interpersonal abilities