Senior Data Engineer - EM

Imagine Foundation e.V.; Dubai; On-site; AED 120,000 - 150,000; Full time

Job summary

A leading sportswear company in Dubai is looking for a Senior Data Engineer in the Data & Analytics team. You will design and optimize data infrastructure and lead various data engineering initiatives. The ideal candidate has 7–10 years of experience in data engineering, strong technical skills, and a background in data-rich industries. Fluency in English is required, and additional languages are a plus. This position offers an opportunity to mentor junior engineers and contribute to strategic initiatives.

Qualifications

• 7–10 years of experience in data engineering, with some experience in technical leadership.
• Proven track record in data platform operations and governance.
• Background in consumer goods, retail, or similar data-rich industries preferred.
• Fluent in English; additional languages are a plus.

Responsibilities

• Lead the development and optimization of the EM Lakehouse platform (Databricks).
• Design and implement robust data pipelines for ingestion, transformation, and delivery.
• Enforce data compliance and access control policies.
• Contribute to internal documentation and training materials.

Skills

Databricks

Python

SQL

Spark

Cloud-native platforms (Azure, AWS)

ETL / ELT pipelines

Airflow

Azure Data Factory

Infrastructure-as-Code (Terraform)

DevOps practices

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

Data governance tools (Unity Catalog)

Observability frameworks (Great Expectations, Monte Carlo)

Job description

Adidas

Data Science

Dubai - United Arab Emirates

Posted on Jul 28, 2025

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Senior Data Engineer

Purpose & Overall Relevance For The Organization

As a Senior Data Engineer within the Data & Analytics (DNA) team for Emerging Markets (EM), you will play a pivotal role in designing, building, and optimizing the region’s data infrastructure.

You will lead the execution of scalable, high-quality, and compliant data solutions that support reporting, analytics, and data products across the business.

This role serves as a technical senior figure and mentor within the engineering team, driving excellence in data engineering practices and contributing to strategic initiatives.

Key Responsibilities

Data Engineering & Platform Ownership

Lead the development and optimization of the EM Lakehouse platform (Databricks).

Design and implement robust data pipelines for ingestion, transformation, and delivery across multiple systems.

Ensure platform reliability through proactive monitoring and incident management.

Contribute to sprint planning and oversee execution of engineering tasks.

Data Governance & Quality

Enforce data compliance and access control policies (e.g., Row-Level Security).

Develop and maintain data quality frameworks, including SLA tracking and anomaly detection.

Ensure proper metadata management, lineage tracking, and documentation.

Innovation & Optimization

Drive continuous improvement in engineering processes and delivery cycles.

Evaluate and implement scalable solutions to enhance performance and reduce costs.

Prototype and integrate emerging technologies to improve data infrastructure.

Stakeholder Collaboration

Act as a technical liaison between engineering, BI Analytics, Global Platform teams, and Data Domain owners.

Facilitate alignment on architecture, priorities, and delivery timelines.

Represent the engineering team in cross-functional discussions with Hubs and Clusters.

Leadership & Team Management

Mentor junior engineers and contribute to their technical development.

Support resource planning and task allocation within the engineering team.

Promote a culture of agile delivery, collaboration, and continuous learning.

Training & Coaching

Lead technical workshops and share best practices across the team.

Contribute to internal documentation and training materials.

Others

Special projects : Participate in strategic cross-functional initiatives and innovation programs.

Knowledge, Skills And Abilities

Technical Expertise

Advanced proficiency in Databricks, Spark, Python, SQL.

Strong understanding of cloud-native platforms (Azure, AWS).

Experience with ETL / ELT pipelines, orchestration tools (Airflow, Azure Data Factory), and CI / CD.

Familiarity with data governance tools (Unity Catalog), observability frameworks (Great Expectations, Monte Carlo).

Exposure to infrastructure-as-code (Terraform) and DevOps practices.

Awareness of cloud cost optimization strategies.

Leadership & Strategy

Ability to lead technical initiatives and mentor team members.

Strong problem-solving and decision-making skills.

Effective communicator with the ability to influence stakeholders.

Requisite Education And Experience / Minimum Qualifications

7–10 years of experience in data engineering, with some experience in technical leadership.

Proven track record in data platform operations and governance.

Background in consumer goods, retail, or similar data-rich industries preferred.

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Fluent in English; additional languages are a plus.

Apply now

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