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Vetted Data Engineering developer in Belgium (UTC+1)
Experienced Data Scientist with a strong track record of leveraging machine learning to solve complex problems in industries like oil, automotive, and telecom. At McKinsey, I led pricing and production optimization projects and guided junior data scientists in aerospace implementations. My expertise spans developing cost-saving models, enhancing workflows, and delivering data-driven business value, with a focus on technical development, stakeholder alignment, and strategic impact.
Data Engineering developer in Belgium (UTC+1)
Johan Vrolix is a seasoned IT professional with over 25 years of experience in project management, business analysis, and process optimization. He has a proven track record of delivering complex projects across various sectors, including finance, healthcare, and logistics, while bridging the gap between business needs and technical solutions to ensure seamless integration and optimal performance. Throughout his career, Johan has demonstrated exceptional skills in stakeholder management, strategic planning, and team leadership. He is adept at navigating challenging environments and consistently delivers results that exceed client expectations. His commitment to continuous improvement and staying ahead of industry trends makes him a valuable asset to organizations aiming to enhance their IT capabilities. While Johan’s primary career has centered on IT project management and business analysis, web development has always been a personal passion. To bring this passion to the forefront, he has launched a side project, **NexaNode**, focused on web and mobile application development. Through NexaNode, Johan aims to combine his technical expertise and creative vision to deliver innovative, user-centric solutions. Johan holds a Master’s degree in Computer Science and has completed certifications in project management and business analysis. Fluent in Dutch, English, and French, he excels in effective communication within diverse, multicultural settings. As a freelancer, Johan offers a unique combination of IT project management, business analysis, and web development services. Whether driving process optimization or creating cutting-edge web applications, Johan’s expertise and dedication make him the ideal partner for businesses seeking to implement effective solutions and achieve success in their projects.
Data Engineering developer in Belgium (UTC+1)
I have 20 years of experience in data architecture, cloud solutions, and technical consulting. I specialize in data governance, business intelligence, and data integration. My expertise includes Azure, Databricks, and various data platforms.
Data Engineering developer in Belgium (UTC+1)
Senior Data Analyst with over 15 years of experience in corporate companies in the cement, food, agriculture, call center etc. sectors, with versatile skills and qualifications related to data analysis and corporate reporting. Since I have been actively involved in the development of reporting tools for various ERP systems such as SAP, Oracle and Microsoft Axapta, I can take responsibility for similar projects in your company. I can analyze your company's business processes and manage all these processes by using data analysis tools such as Excel, SQL, Python professionally. I can help you analyze your business processes from a different perspective by visualizing your company data with the help of Power BI and DAX. I can help you model your existing company data and manage ETL processes with the help of SSIS, SSAS and Power Query. Since I have in-depth knowledge of sales analysis, cost analysis, process control, budget analysis and reporting, I can also help the relevant departments in your company with these analyses. Taking part in project work with targets always increases my motivation. I always believe in the power of teamwork. I have a solution-oriented working approach, not a problem-oriented one.
Vetted Data Engineering developer in Belgium (UTC+2)
I have 20 years of experience in tech (Python, JS/TS, full stack web, reverse engineering, security, AI...), started 7 companies, dealt with a massive range of different problems at different scales and worn every single hat you can think of. Highly versatile in tech, business, finance, and legal compliance. I am six domain experts in one. I find your unknowns and solve them. Can work with timezones between ET and GMT+5. Book time with me [here](https://cal.com/jleclanche). Background ---------- * Currently: CTO/CTO @ [Seven Seed](https://sevenseed.eu/), CTO @ [Ingram](https://ingram.tech/) * Previously: Fractional CTO @ [Ola Financial Technologies](https://olainvierte.com/) * Previously: CTO @ [HearthSim](https://hearthsim.net/), Int. CEO/CTO @ [Magic Find](https://www.magicfind.us/) * Programming in Open Source since 2006. * Consultant since 2012. Specialized in FinTech since 2016. Solutions engineering & Software architecture. Certified Stripe partner. [Website](https://leclan.ch/) · [LinkedIn](https://linkedin.com/in/jleclanche) · [Book a meeting](https://cal.com/jleclanche)
Vetted Data Engineering developer in Belgium (UTC+1)
Experienced full stack developer and architect with 20 years of expertise in designing and developing Web and Cloud-based applications. Proficient in backend development with Java and Python, experienced in leading projects and teams. Skilled in utilising AWS and GCP cloud services to deliver scalable solutions. Demonstrated proficiency in Java, including 4 years of programming mathematical models for Ph.D. thesis. Fluent in English and French.
Vetted Data Engineering developer in Belgium (UTC+1)
As a seasoned full-stack developer and certified cloud developer with over 14 years of diverse IT experience, I bring knowledge and expertise to every project. My proficiency spans Java 21, Spring Boot, Spring Cloud, Python, OSGi, Node.js, Angular, and TypeScript, ensuring robust and scalable solutions tailored to client needs. My hands-on experience with Docker and Kubernetes enables me to create efficient, containerized applications that streamline development and deployment processes. Furthermore, I have vast DevOps experience, expertly utilizing Azure ADO, Git, and CI/CD pipelines to enhance development workflows and ensure seamless integration and delivery. As a certified Azure Cloud Developer, I specialize in designing and implementing cloud infrastructure that drives innovation, operational efficiency, and scalability. I have successfully architected and deployed numerous cloud-based solutions, leveraging the power of Azure to deliver high-performance, secure, and cost-effective systems. I possess strong communication skills and excel in distributed environments, ensuring clear and effective collaboration with distributed teams and clients. My ability to articulate complex technical concepts simply has been instrumental in driving project success. I have significant experience in Kafka, building RESTful services, and working within a microservices environment, which allows for scalable, resilient, and maintainable software architecture.
Vetted Data Engineering developer in Belgium (UTC+2)
I have over 15 years in Java JEE, Spring MVC, Spring Boot, Webservices, Kafka, and IBM WebSphere Ecommerce (B2B, B2C) development, I am skilled in various technologies, applications, and tools. Familiar with the complete Software Development Life Cycle (SDLC) process including design, development, implementation, and quality assurance using various methodologies like SOLID, Waterfall, Agile/Scrum. As a quick learner to explore different technologies with strong analytical skills, I see myself as a Java JEE expert leading into technical problems. I have worked in various sectors such as Government, Banking, E-commerce, and E-learning. My ambition is to Join a team of highly competent development and actively participate in the realization of innovative high-tech projects.
Vetted Data Engineering developer in Belgium (UTC+1)
**During my daily work activity I do Research , Prototype and Deployment of Smart AI enabled Technology Solutions**. I also Advise and Mentor technology solutions to individuals and organizations (enterprises and institutions). I prototyped and about to publish the 3rd scientific paper on self sensing carbon fiber composite materials for active structural monitoring , and for the past 4 months now, I've been prototyping smart DAQ devices to connect such materials to and edge server. The main objective, give life to a structure, by seamlessly integrating any structural element into a remote, live active (or passive) monitoring network with usage of artificial intelligence technologies all together. **Some Metrics** ---------- ■ 1 Digital Transformation in the Laboratory of construction and building materials at University of Minho, Portugal (2005/09) ■ 3 Digital Transformations at start-up enterprises (2007/8; 2014/2016; 2018/20) ■ 10 M.V.P. prototypes licensed © under open source and open data standards: ░ ¤ Sitebuilder CMS (1999/09) ░ ¤ Self-sensor carbon based composites (2005/07) ░ ¤ Common injection rail for Automotive LPG systems (2014/16) ░ ¤ Custom multi environment software and hardware electronics solutions for remote with real-time data collection and management of construction site logistics and HR (2018/20) ░ ¤ 6 PCB Prototyping (see GitHub) for ░ ░ ¤ home automation ░ ░ ¤ Industrial automation ░ ░ ¤DAQ smart devices (LDAD) With nearly 30 years of programming experience , I've coded on pretty much all the languages there is to code. If you don't find your preferred stack do be alarmed i can add value to your project with the stack of your choice.
Data Engineering developer in Belgium (UTC+2)
I work at GitLab as a Solutions Architect, Presales Engineer, Sales Engineer, ... (what's in a name). Bottom line: I work with our community members and help them achieve their (stretch) goals by implementing DevOps best practices, based on our product. At GitLab, we are guided by 6 values: Collaboration, Results, Efficiency, Diversity & Inclusion, Iteration, and Transparency, and together they spell the **CREDIT** we give each other by assuming good intent. They are made actionable in the values handbook link below. And remember: with GitLab: everybody can Contribute!
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Ready to hire your ideal Data Engineering developers?
Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Data Engineering developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire a Data Engineering developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Data Engineering developers can help keep your website up-to-date.
To hire a Data Engineering developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire Data Engineering developers effectively and efficiently. Hire full-time Data Engineering developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Data Engineering developers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Data Engineering developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Data Engineering developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Data Engineering developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Data Engineering developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote Data Engineering developers, consider niche platforms like Arc that naturally attract and carefully vet their Data Engineering developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data Engineering developers.
Some factors to consider when you hire Data Engineering developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Data Engineering developers for hire.
Writing a good Data Engineering developer job description is crucial in helping you hire Data Engineering developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Data Engineering developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire Data Engineering developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Data Engineering developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Data Engineering developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Data Engineering developers to keep up with evolving technology and requirements.
You can find a variety of Data Engineering developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Data Engineering developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data Engineering developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Data Engineering developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Data Engineering developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Data Engineering developers.
Every Data Engineering developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified Data Engineering developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Data Engineering developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified Data Engineering developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Data Engineering developers, you can rest assured that all remote Data Engineering developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Data Engineering developers before we present them to you. As such, all the remote Data Engineering developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Data Engineering developer in 72 hours, or find a full-time Data Engineering developer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote Data Engineering developers.
Depending on the freelance developer job board you use, freelance remote Data Engineering developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data Engineering developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire Data Engineering developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote Data Engineering developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring Data Engineering developers, check out our FAQs page.