Emirates dnata Careers 2026: Senior Data Quality Engineer Job Vacancy in Dubai, UAE

Are you looking for a technology career opportunity in Dubai with a globally recognized aviation group? Emirates dnata careers 2026 offer professionals an opportunity to work in an advanced data and analytics environment. Emirates Group is currently seeking a Senior Data Quality Engineer to join its Analytics Centre of Excellence (ACoE) in Dubai, United Arab Emirates.

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Emirates dnata Careers 2026 – Job Overview

• Job Position: Senior Data Quality Engineer
• Location: Dubai, United Arab Emirates
• Experience: 2+ years in relevant data engineering, testing, automation and support
• Education: Relevant degree in Computer Science, Computer Engineering, Software Engineering, Computational Mathematics or related field
• Industry: Aviation, Data & Analytics
• Employment Type: Full-time

The Analytics Centre of Excellence is a centralized function that provides data and analytics capabilities across the Emirates Group. It supports business teams by helping them use data to understand customers, operations, markets, and business performance.

The role is also connected to the wider digital transformation strategy of Emirates Group. Candidates will have the opportunity to work with modern data engineering technologies and contribute to solutions that support large-scale enterprise analytics.

Senior Data Quality Engineer – Dubai

The Senior Data Quality Engineer will be responsible for helping maintain and improve the quality of enterprise data assets. The position requires someone who can identify data quality problems, create validation rules, automate testing processes, and support reliable data pipelines.

The successful applicant should be comfortable working independently while also collaborating with technical and cross-functional teams. A strong “You Code It, You Own It” approach is expected, meaning employees are encouraged to take responsibility for the solutions and products they develop.

Key areas of responsibility include:

• Designing and implementing data quality and automation platforms.
• Identifying quality issues across complex data pipelines.
• Developing automated data validation checks.
• Supporting ETL and ELT jobs and analytics applications.
• Performing functional, performance, and security testing.
• Working with batch and real-time data ingestion technologies.
• Defining data quality metrics and measures.
• Supporting technical analytics solutions and products.
• Conducting data analysis, profiling, and source-to-target mapping.
• Troubleshooting and resolving technical issues.
• Collaborating with teams to remove technical blockers.

Qualifications and Experience

Candidates applying for this Emirates dnata careers opportunity should have a degree in a relevant discipline such as Computer Science, Computer Engineering, Software Engineering, or Computational Mathematics.

A specialization or academic background in data and analytics, including data warehousing, data science, or business intelligence, would be beneficial.

Applicants should have at least two years of data engineering experience, particularly in quality and automation. The position also requires a minimum of two years of experience in testing, automation, and support for analytics applications such as data lakes and data warehouses.

Experience with big data technologies and Microsoft Azure cloud infrastructure is preferred. Candidates should also understand how to identify quality problems within complex data pipelines and establish suitable rules for checking data health.

Programming knowledge in Python or Scala and strong SQL querying skills are required. Experience with Spark and previous exposure to the airline industry would be an added advantage.

Technical Skills Required

The Senior Data Quality Engineer vacancy requires knowledge across several technology areas. Candidates with experience in enterprise data and analytics environments may be especially well suited to this role.

Important technologies and tools include:

• Big Data: Spark, Hadoop, HDFS, Hive, HBase, Oozie and Airflow.
• Data Engineering: Apache NiFi, Azure Data Factory, Azure Data Lake Storage and Databricks.
• Data Platforms: Snowflake, Cloudera and Microsoft Azure.
• Data Modelling: Data Vault 2.0, dimensional modelling and data architecture.
• Analytics and Reporting: MicroStrategy, Power BI and SQL.
• Integration: Kafka, SnapLogic, TIBCO and Spark Streaming.
• CI/CD and DevOps: Git, Bitbucket, Jenkins, Azure DevOps and Kubernetes.
• Containers and Testing: Docker, SonarQube and Gatling.
• Programming: Python and Scala.
• File Formats: AVRO and Parquet.
• Search and Data Technologies: Elasticsearch.

Skills and Personal Qualities

In addition to technical qualifications, Emirates Group is looking for professionals who can independently drive data quality and deliver practical technology solutions.

Applicants should have strong analytical and problem-solving abilities and be capable of working with complex data environments. Experience with source-system identification, metadata collection, data dictionaries, data profiling, and source-to-target mapping is preferred.

The ideal candidate should also be a strong team player who can communicate effectively with colleagues, troubleshoot complex problems, and contribute to design discussions. A positive attitude, accountability, self-motivation, and willingness to learn new technologies are important for this position.

How to Apply for Emirates dnata Careers

Interested candidates can apply online for the Senior Data Quality Engineer position through the official Emirates Group careers portal. Applicants should review the job requirements, prepare an updated CV highlighting relevant data engineering and automation experience, and submit their application through the official recruitment system.

Apply here:

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