Data Engineer

Client of Involved Solutions; Dubai; On-site; AED 280,000 - 420,000; Full time

Job summary

Client of Involved Solutions in the UAE seeks a Data Engineer to design, build and maintain scalable data pipelines for batch and streaming environments.

You will own the data platform's reliability and work with data scientists and AI engineers to ensure clean, well-structured data is available when needed.

Qualifications

• 5+ years of data engineering experience.
• Proficient in Python and SQL.
• Experience with cloud data platforms.
• Experience with batch and streaming pipelines.
• Familiarity with data governance and security.

Responsibilities

• Design, build and maintain scalable data pipelines for batch and streaming environments.
• Own the development and reliability of the data platform.
• Collaborate with data scientists and AI engineers for clean data.
• Implement data quality frameworks and observability tooling.
• Contribute to data modelling and architecture decisions.
• Support AI/ML agenda with data infrastructure.

Skills

Python

SQL

Data modeling

Data quality

Observability

Tools

Snowflake

BigQuery

Redshift

Apache Spark

Kafka

Airflow

dbt

Job description

We have partnered with a high-growth technology business in the UAE to hire a Data Engineer This is a business where data infrastructure is taken seriously and the people building it are given the tools autonomy and scope to do it properly If you are five years into your data engineering career and looking for a role where you can level up technically while working on problems that actually matter this is worth your attention This role suits an engineer who cares as much about reliability and data quality as they do about throughput and who wants to work in an environment that shares those values

About the role

• Design build and maintain scalable data pipelines that move transform and serve data across the business in both batch and streaming environments
• Own the development and continuous improvement of the data platform ensuring reliability performance and scalability as the business grows
• Work closely with data scientists analysts and AI engineers to ensure clean well-structured data is available where and when it is needed
• Implement data quality frameworks testing practices and observability tooling that keep pipelines trustworthy in production
• Contribute to data modelling and architecture decisions building infrastructure that scales with the ambitions of the business
• Support the AI and ML agenda by designing data infrastructure that feeds model training feature engineering and inference pipelines

5 years of experience in data engineering or a closely related discipline

Strong proficiency in Python and SQL with a solid understanding of software engineering principles applied to data

Hands-on experience with cloud data platforms such as Snowflake, BigQuery or Redshift

Experience building and maintaining both batch and streaming pipelines using frameworks such as Apache Spark, Kafka or Airflow

Familiarity with dbt or equivalent transformation tooling and modern data stack practices

Solid understanding of data governance, quality and security considerations in a production environment