What Jobs are available for Data Pipelines in Dubai?

We are a leading provider of innovative, high-performance solutions for airport logistics. Our portfolio includes products and services for baggage and cargo handling, advanced software for the digitalization of logistics processes, and a comprehensive range of maintenance and support services. Our major clients include renowned airports and airlines around the world.

We are looking for a highly motivated self-starter who is passionate about technology to join our team as a Data Integration Enginee r in Dubai.

• Develop code to normalize data from various sources for ingestion and processing in Vanderlande Logistics’ flagship SaaS application.
• Ensure quality assurance for SaaS applications.
• Design and enhance technical solutions for both new and existing customers.
• Document proposed and implemented solutions, ensuring sound design and architecture.
• Provide regular status updates to requestors and key stakeholders.
• Ensure technical project documentation is thorough and up to date.
• Manage the handover process for the Service and Customer Success teams.
• Actively contributes to a collaborative, inclusive, and results-driven team environment.
• Communicate effectively with stakeholders and set clear expectations.
• Collaborate with a geographically dispersed, diverse team to exceed goals and align with strategic objectives.
• Manage a dynamic workload, adjusting priorities and actions in response to evolving business needs and new information.

• Strong analytical, logical thinking, and problem-solving skills.
• Passion for delivering high-quality projects and a commitment to excellence.
• Educational background in software development, computer science, mathematics, or a related field.
• Experience with at least one programming language (e.g., Java or Python).
• Knowledge of SQL, networking, and Unix/Linux is a plus.
• Proficiency in Microsoft Office Suite and other relevant tools; experience with GitLab is advantageous.
• Willingness to learn about airport and baggage handling operations.
• Ability to motivate teams and drive timely project completion.
• Tech-savvy with excellent written, verbal, and analytical communication skills.
• Highly organized with strong attention to detail.
• Skilled in both written and oral communication, with strong interpersonal abilities.
• Capable of conducting research into project-related issues and technologies.
• Experience with Agile and/or Lean management methodologies.
• Familiarity with client/server and web-based applications.
• Fluency in English is required; basic knowledge of German is an advantage.
• Resilient and comfortable with flexible working hours.
• Basic understanding of APIs and data integration tasks.
• Experience in the aviation industry is a plus.

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As the Head of Data Engineering, you will be responsible for designing, implementing, and maintaining a robust, scalable, and compliant data architecture that supports our exchange’s operations, analytics, and regulatory reporting requirements. You will lead a team of data engineers, ensuring high availability, security, and performance of our data infrastructure. You will work closely with stakeholders across technology, compliance, risk, and product teams to develop data pipelines, warehouses, and real-time analytics capabilities.

This is a strategic yet hands-on role where you will drive data engineering best practices, scalability, and automation while ensuring compliance with regulatory data requirements for a financial services entity.

Data Architecture & Strategy :

1. Define and own the data architecture strategy for the exchange, ensuring it is scalable, secure, and regulatory-compliant.
2. Design and implement data modeling, governance, and security frameworks to meet financial and regulatory requirements.
3. Architect real-time and batch processing data pipelines to handle trade data, order books, user activity, and market analytics.
4. Optimize data storage and retrieval for performance and cost efficiency, leveraging cloud-based and hybrid solutions.
5. Build and maintain ETL / ELT data pipelines for operational, analytical, and compliance-related data.
6. Ensure high data quality, reliability, and availability through robust monitoring, alerting, and data validation techniques.
7. Manage and enhance data warehouses, data lakes, and streaming platforms to support business intelligence and machine learning use cases.
8. Oversee database design and optimization for transactional and analytical workloads (e.g., Aurora, Redis, Kafka).
9. Implement data lineage, metadata management, and access control mechanisms in line with compliance requirements.

Compliance, Security & Risk Management :

1. Work closely with compliance and risk teams to ensure data retention policies, audit trails, and reporting mechanisms meet regulatory requirements (e.g., FATF, AML, GDPR, MiCA).
2. Implement encryption, anonymization, and access control policies to safeguard sensitive user and transaction data.
3. Support fraud detection and risk monitoring through data analytics and alerting frameworks.

Leadership & Team Management :

1. Lead, mentor, and grow a small team of data engineers, fostering a culture of collaboration, innovation, and accountability.
2. Drive best practices in data engineering, DevOps for data, and CI / CD automation for analytics infrastructure.
3. Collaborate with software engineers, DevOps, data analysis, and product teams to integrate data solutions into the broader exchange ecosystem.

Technical competencies and skills :

1. Proven experience in data architecture and engineering, preferably within a regulated financial or crypto environment.
2. Strong proficiency in SQL, Python, or Scala for data engineering.
3. Experience with cloud-based data platforms (AWS, GCP, or Azure) and orchestration tools (Airflow, Prefect, Dagster).
4. Hands-on experience with real-time data processing (Kafka, Pulsar, Flink, Spark Streaming).
5. Expertise in data warehousing solutions (Snowflake, BigQuery, Redshift, Databricks).
6. Strong understanding of database design, indexing strategies, and query optimization.
7. Experience implementing data governance, lineage, and cataloging tools.
8. Familiarity with blockchain / crypto data structures and APIs is a plus.

Leadership & Strategic Skills :

1. Experience leading and mentoring a team of data engineers.
2. Ability to design data strategies that align with business goals and regulatory requirements.
3. Strong cross-functional collaboration skills with compliance, risk, and technology teams.
4. Ability to work in a fast-paced, high-growth startup environment with a hands-on approach.

Industry & Compliance Knowledge :

1. Experience in regulated financial markets, fintech, or crypto is highly preferred.
2. Familiarity with financial data standards, KYC / AML reporting, and regulatory requirements related to data handling.

Preferred Qualifications :

1. Bachelors or Masters degree in Computer Science, Data Engineering, or a related field.
2. Certifications in cloud data engineering (AWS / GCP / Azure), data governance, or security are a plus.
3. Experience working in a crypto exchange, trading platform, or high-frequency trading environment is an advantage.

At M2, we believe in a workplace where talent, dedication, and passion are the only factors that count, regardless of gender, background, age, and other characteristics. We embrace diversity because we know that it fuels innovation, fosters creativity, and drives success. So, if you're ready to join a team where your potential is truly valued, welcome aboard!