Huspy, a fast-growing property technology company operating across the Middle East and Europe, is inviting applications for the position of Data Engineer in Dubai, United Arab Emirates. This full-time opportunity is suitable for experienced professionals with expertise in data engineering, Python, SQL, cloud infrastructure, and data pipeline development.

The company is looking for candidates who can build reliable data systems, manage large-scale data workflows, and support the development of technology-driven solutions for the real estate and mortgage industries. Professionals with experience in AWS, Apache Airflow, Kafka, and Snowflake may find this opportunity particularly relevant.

According to the job listing, the position was advertised on LinkedIn four days before the supplied vacancy details were shared. The role is listed as full-time, with the original listing indicating Dubai as the job location and on-site work as the employment arrangement. However, the detailed description also mentions hybrid opportunities in Dubai or Madrid and remote work within the European Union, so applicants should confirm the applicable work arrangement before applying.

Candidates interested in developing their careers with an expanding international technology company can review the job responsibilities, eligibility criteria, and application instructions below.

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About Huspy

Huspy is a property technology company established in 2020. It aims to transform the home-buying journey through digital products and technology solutions designed for real estate agents and mortgage brokers.

The company operates in multiple cities across the United Arab Emirates and Spain. Its stated expansion plans include entering Saudi Arabia and three additional European markets by 2026.

Huspy has raised more than $140 million through Series A and Series B funding rounds, with investors including Sequoia Capital and Balderton Capital. The company is developing a technology platform designed to simplify property transactions and improve the way professionals manage real estate and mortgage-related activities.

For data engineering professionals, working in such an environment may involve building systems that support business operations, real-time information processing, analytics, and scalable digital products.

Huspy Data Engineer Job Overview

Here are the main details provided in the vacancy announcement.

• Company: Huspy
• Job Position: Data Engineer
• Job Location: Dubai, United Arab Emirates
• Employment Type: Full-time
• Work Arrangement: Listed as on-site on LinkedIn; the detailed description also mentions hybrid and remote options for certain locations
• Experience Required: 4+ years in data engineering or analytics engineering with strong pipeline and infrastructure experience
• Key Technical Skills: Python, SQL, Apache Airflow, Kafka, AWS, and cloud data warehousing
• Preferred Data Warehouse: Snowflake
• Application Method: Online application through the provided job link
• Salary: Not specified in the supplied job description
• Application Deadline: Not specified

Applicants should read the complete vacancy details and verify the work arrangement and other employment conditions directly with Huspy before submitting an application.

Key Responsibilities of a Data Engineer at Huspy

The selected candidate will help develop and maintain the company’s data infrastructure. The role focuses on building reliable pipelines, managing data workflows, improving performance, and supporting data-driven decision-making.

1. Design and Maintain Data Pipelines

The Data Engineer will build and maintain batch and streaming data pipelines that connect applications, events, and external data sources to Snowflake. These systems should enable information to move reliably across the company’s technology platform.

2. Manage Real-Time Data Streaming

The role involves working with Kafka, Schema Registry, and event-driven architectures. These technologies help applications exchange structured information and support systems that depend on timely data updates.

3. Automate Data Workflows

The successful candidate will use Apache Airflow to schedule and coordinate complex workflows. This includes managing dependencies between tasks, automating recurring processes, and ensuring that data becomes available when required.

4. Work with Cloud Infrastructure

The position requires practical experience with AWS services such as S3, ECR, ECS, and IAM. The engineer will help develop scalable data services while considering storage requirements, computing resources, security, and operational costs.

5. Improve Data Quality and Reliability

The candidate will implement testing frameworks, monitoring systems, and alerts to identify potential problems in data pipelines. These measures help maintain reliable information and reduce the risk of errors affecting downstream applications and analytics.

6. Manage Infrastructure as Code

The role includes using infrastructure-as-code tools such as Terraform, Helmfile, or CloudFormation. These tools support automated deployments and make infrastructure easier to reproduce and maintain.

7. Optimize Performance and Scalability

The engineer will continuously improve pipeline throughput, latency, and cost efficiency. The objective is to ensure that data systems can support the company’s growth without compromising reliability.

8. Support Data Modelling and Governance

The position requires an understanding of data modelling principles, including Kimball and Data Vault approaches. The candidate will also contribute to data governance practices involving personally identifiable information, compliance, and data lifecycle management.

9. Collaborate with Other Teams

The Data Engineer will work with product teams, analysts, business stakeholders, and operational teams to understand requirements and develop suitable data solutions.

10. Implement Automation and CI/CD

The candidate will support automated testing, code linting, and deployment processes. These practices help ensure that data pipelines remain reliable, maintainable, and suitable for production environments.

Eligibility Criteria

Huspy is seeking experienced professionals who can contribute to the development and maintenance of production-grade data systems.

Applicants should review the following requirements before applying:

• At least four years of experience in data engineering or analytics engineering with strong pipeline and infrastructure experience.
• Proficiency in Python for data extraction, transformation, orchestration, and automation.
• Hands-on experience with Apache Airflow or an equivalent workflow orchestration tool.
• Knowledge of batch processing and event-streaming systems.
• Experience with Kafka and Schema Registry is relevant to the streaming responsibilities.
• Practical experience with AWS cloud services, including S3, ECR, ECS, and IAM.
• Strong SQL skills and experience with cloud data warehouses.
• Familiarity with Snowflake is preferred.
• Understanding of data modelling, data quality, and governance principles.
• Ability to collaborate with technical and non-technical stakeholders.

The supplied vacancy details do not specify a mandatory degree, a particular university qualification, or a specific certification. Applicants should check the original application form for any additional requirements.

Educational Qualification and Experience

The job description emphasises professional experience and technical expertise rather than listing a specific educational qualification.

Candidates with a relevant background in computer science, information technology, software engineering, data systems, or a related discipline may find their experience relevant to the role. However, these fields are suggestions for applicants to consider, not confirmed mandatory qualifications stated in the supplied listing.

The clearly stated experience requirement is four or more years in data engineering, or analytics engineering supported by strong data pipeline and infrastructure experience.

Professionals should highlight relevant projects, production systems, cloud deployments, automation experience, and measurable improvements to data pipeline performance in their CVs.

Salary and Employee Benefits

Huspy has not disclosed a salary figure or a detailed employee benefits package in the supplied vacancy description.

Applicants should avoid relying on unofficial salary estimates when evaluating the opportunity. Compensation, insurance, annual leave, relocation arrangements, and other employment benefits should be confirmed with the company during the recruitment process.

The job description mentions relocation support to Dubai or Madrid for candidates who prefer to relocate. The detailed listing also describes different work arrangements depending on the location. Candidates should confirm whether relocation assistance applies to their individual circumstances.

Job Location and Work Arrangement

The LinkedIn listing identifies Dubai, United Arab Emirates, as the job location and marks the position as on-site. However, the detailed description states that the company offers a hybrid arrangement in Dubai or Madrid, or remote work from anywhere in the European Union.

Since these details describe different arrangements, applicants should confirm the exact location and working model offered for this particular vacancy before accepting an interview or employment offer.

How to Apply for the Huspy Data Engineer Job in Dubai

Candidates interested in the Huspy Data Engineer vacancy can apply online through the application link provided in the original LinkedIn job listing.

Before submitting an application, applicants should review the job requirements carefully and ensure that their professional experience matches the technical skills requested by the company.

Follow these steps to apply:

1. Open the official job application link provided below.
2. Review the complete vacancy description and eligibility requirements.
3. Prepare an updated CV highlighting relevant data engineering experience.
4. Include technical skills such as Python, SQL, AWS, Apache Airflow, Kafka, and Snowflake, where applicable to your actual experience.
5. Describe relevant projects involving data pipelines, cloud infrastructure, workflow automation, data modelling, and performance optimization.
6. Complete the online application form and provide the requested information.
7. Submit your application and monitor your email for any communication from the recruitment team.

Applicants should provide accurate information about their qualifications and professional experience. They should also ensure that their contact details are correct so that the company can reach them if they are shortlisted.

Official Application Link

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Documents to Prepare Before Applying

The supplied vacancy announcement does not provide an official list of mandatory application documents. However, applicants can prepare the following commonly requested materials:

• An updated CV or professional résumé.
• A summary of relevant data engineering experience.
• Details of technical projects and previous responsibilities.
• A portfolio or GitHub profile, if available and relevant.
• Contact details, including a valid email address and phone number.
• Educational certificates or professional certifications, if requested.
• References or supporting documents, if requested during recruitment.

Candidates should not send sensitive personal documents unless they are requested through a verified recruitment channel and are necessary for the application stage.

Selection Process

Huspy has not specified the complete selection process for this vacancy in the supplied job description. Nevertheless, applicants should be prepared for recruitment stages commonly used for technical positions.

These may include:

1. Application screening: The recruitment team may review the applicant’s CV, work history, and technical background.
2. Initial interview: Shortlisted candidates may be invited to discuss their experience and suitability for the position.
3. Technical assessment: Applicants may be asked to demonstrate their knowledge of Python, SQL, data pipelines, cloud services, and data processing systems.
4. Technical interviews: The company may assess problem-solving skills, system design knowledge, data modelling, and experience with production environments.
5. Final discussions: Further conversations may cover responsibilities, compensation, location, and employment arrangements.

These are possible stages, not a confirmed recruitment sequence for this specific vacancy. Candidates should follow the instructions communicated directly by Huspy.

Important Instructions for Applicants

Before applying for the Huspy Data Engineer job in Dubai, keep the following points in mind.

• Check the experience requirement: The listing specifies at least four years of relevant experience.
• Highlight relevant technical skills: Python, SQL, AWS, Airflow, Kafka, and Snowflake are particularly relevant to the advertised responsibilities.
• Keep your CV accurate: Include only technologies and responsibilities that reflect your actual experience.
• Verify the work arrangement: LinkedIn identifies the role as on-site, while the detailed description mentions hybrid and remote options for certain locations.
• Confirm salary details: The advertisement does not disclose the salary or a complete benefits package.
• Check relocation conditions: Relocation support to Dubai or Madrid is mentioned, but applicants should confirm the applicable terms.
• Apply through the provided channel: Use the application link and verify the recruitment page before sharing personal information.
• Apply promptly: The listing was reported as recently posted in the supplied information, but no closing date was specified.

Why Consider a Career at Huspy?

Huspy operates at the intersection of technology, real estate, and financial services. Its platform aims to improve the way property professionals manage transactions and support customers through the home-buying process.

For an experienced Data Engineer, the advertised responsibilities offer the opportunity to work with modern data technologies and infrastructure.

Potential areas of professional development include:

• Building and maintaining large-scale data pipelines.
• Working with cloud infrastructure and data warehousing technologies.
• Developing real-time data processing systems.
• Improving data reliability, testing, and monitoring.
• Applying infrastructure-as-code and CI/CD practices.
• Collaborating with product, analytics, and business teams.

These are opportunities associated with the responsibilities described in the vacancy. Specific career progression, training programmes, and employee benefits have not been confirmed in the supplied information.

Frequently Asked Questions

1. What is the job position available at Huspy?

Huspy is advertising a Data Engineer position associated with its Dubai operations in the United Arab Emirates.

2. Where is the Huspy Data Engineer job located?

The LinkedIn listing identifies Dubai, UAE, as the job location. The detailed description also mentions hybrid opportunities in Dubai or Madrid and remote work within the European Union. Candidates should confirm the arrangement for this vacancy.

3. How much experience is required?

The stated requirement is at least four years of experience in data engineering or analytics engineering with strong pipeline and infrastructure experience.

4. What technical skills are required?

The listing highlights Python, SQL, Apache Airflow or an equivalent orchestration tool, batch and streaming pipelines, AWS services, and cloud data warehousing. Snowflake is preferred, while Kafka and Schema Registry are relevant to the streaming responsibilities.

5. Is the salary mentioned in the job advertisement?

No. The supplied vacancy description does not specify a salary. Applicants should contact the company or recruitment team for compensation details.

6. Does Huspy offer relocation support?

The job description mentions relocation support to Dubai or Madrid. Candidates should confirm eligibility and the applicable terms directly with the company.

7. How can candidates apply for the Huspy Data Engineer vacancy?

Candidates can apply through the online application link included in this article. They should review the requirements, prepare an updated CV, and complete the application form.

8. What is the application deadline?

The supplied job description does not mention an application deadline. Interested candidates should check the original listing and application page for the latest information.

Final Reminder

The Huspy Data Engineer vacancy may interest experienced technology professionals looking to work with data pipelines, cloud infrastructure, and modern data engineering tools in an international business environment.

Before applying, review the experience requirements, ensure that your technical skills match the advertised responsibilities, and confirm the location, work arrangement, salary, and relocation conditions directly with the company.

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