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Senior Data Engineer - EM
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.

AT ADIDAS WE HAVE A WINNING CULTURE. BUT TO WIN, PHYSICAL POWER IS NOT ENOUGH. JUST LIKE ATHLETES OUR EMPLOYEES NEED MENTAL STRENGTH IN THEIR GAME. WE FOSTER THE ATHLETE'S MINDSET THROUGH A SET OF BEHAVIORS THAT WE WANT TO ENABLE AND DEVELOP IN OUR PEOPLE AND THAT ARE AT THE CORE OF OUR UNIQUE COMPANY CULTURE: THIS IS HOW WE WIN WHILE PLAYING FAIR.

• COURAGE: Speak up when you see an opportunity; step up when you see a need..
• OWNERSHIP: Pick up the ball. Be proactive, take responsibility and follow-through.
• INNOVATION: Elevate to win. Be curious, test and learn new and better ways of doing things.
• TEAMPLAY: Win together. Work collaboratively and cultivate a shared mindset.
• INTEGRITY: Play by the rules. Hold yourself and others accountable to our company's standards.
• RESPECT: Value all players. Display empathy, be inclusive and show dignity to all.

At adidas, we strongly believe that embedding diversity, equity, and inclusion (DEI) into our culture and talent processes gives our employees a sense of belonging and our brand a real competitive advantage.
- Culture Starts With People, It Starts With You -
By recruiting talent and developing our people to reflect the rich diversity of our consumers and communities, we foster a culture of inclusion that engages our employees and authentically connects our brand with our consumers.
Job Title: Senior Data Engineer - EM
Brand:
Location: Dubai
TEAM: Data
State: Duba
Country/Region: AE
Contract Type: Full time
Number: 532361
Date: Jul 28, 2025
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