Senior Data Engineer

VML South Africa; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

An established industry player is on the lookout for a Senior Data Engineer to lead the development of a new data integration system. This dynamic role involves collaborating with various stakeholders to design scalable data management systems and robust ETL pipelines, ensuring that the data infrastructure aligns with business objectives. The ideal candidate will have a strong background in data management, cloud services, and programming languages, particularly within the consumer retail banking sector. Join a forward-thinking team that values data-driven decision-making and offers a vibrant work environment where your contributions will directly impact customer experiences and drive business value.

Qualifications

• Proven experience as a Data Engineer or similar role in data management.
• Extensive knowledge in programming languages like Python, Java, and SQL.

Responsibilities

• Design and maintain scalable data management systems and ETL pipelines.
• Collaborate with stakeholders to ensure data infrastructure meets business needs.
• Stay updated on industry best practices in data architecture and cloud computing.

Skills

Data Management

ETL Pipelines

SQL Database Design

Cloud Services (Google BigQuery, Microsoft Azure)

Programming Languages (Java, Python, etc.)

Data Governance

Data Architecture

Problem Solving

Communication Skills

Marketing Platforms (Sitecore, GA4)

Education

Bachelor’s degree in Computer Science

Master’s degree in Computer Science

Tools

Google BigQuery

Microsoft Azure

Sitecore

GA4

Job description

Position Name: Senior Data Engineer
Position Location: Dubai & Abu Dhabi, UAE

THE ROLE
We are seeking an experienced Senior Data Engineer (ideally with experience in consumer retail banking and marketing) to lead the development of a new data integration for a key agency client. In this role, you will work closely with the Data Architect and lead the implementation/development phase and work with the data scientist/analyst to incorporate analytics and modeling. You will handle data from various sources including operational systems, marketing platforms, website data layers (Sitecore and GA4), mobile applications, and potentially third parties. The data will be aggregated into Google BigQuery as an interim step with the final data warehouse hosted in Microsoft Azure.

You will work closely with both agency and client stakeholders (we are an extension squad for the client), including business analysts, data scientists, and engineers, to ensure that the data infrastructure supports the client’s business objectives and enables the delivery of exceptional customer experiences that drive business value.

RESPONSIBILITIES

1. With the Data Architect, design the data models, pipelines, and integrations to support various business functions, including customer relationship management (CRM), marketing automation, reporting, and customer insight.
2. Design, construct, install, test, and maintain highly scalable data management systems.
3. Develop and manage robust ETL pipelines to extract, transform, and load data from diverse sources into Google BigQuery and Microsoft Azure.
4. Ensure systems meet business requirements and industry practices for data quality, data governance, and data security.
5. Collaborate with data architects, modelers, and IT team members on project goals and objectives.
6. With Data Strategy and Analytics, identify opportunities for data acquisition and new uses for existing data.
7. Develop data set processes for data modeling, mining, and production.
8. Integrate new data management technologies and software engineering tools into existing structures.
9. Create custom software components and analytics applications as required.
10. Stay abreast of industry best practices and emerging technologies in data architecture, particularly in the areas of cloud computing, big data, and data warehousing.
11. Build and maintain integrations with AdTech and MarTech platforms to enable targeted marketing campaigns and personalized customer experiences.
12. Contribute to the development of a data-driven culture within the organization by promoting data literacy and advocating for data-informed decision-making.

REQUIRED SKILLS & EXPERIENCES

1. Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
2. Proven work experience as a Data Engineer, Software Developer, or similar role in data management.
3. Ideally, experience in the financial services industry, particularly consumer retail banking.
4. Extensive knowledge in different programming or scripting languages like Java, Linux, PHP, Ruby, Python, and/or R.
5. Strong experience with SQL database design and data architecture.
6. Experience with cloud services (Google BigQuery, Microsoft Azure) and understanding of their data capabilities and structures.
7. Knowledge of ETL techniques and frameworks.
8. Experience with Sitecore, GA4, and other marketing platforms is a plus.
9. Excellent organizational and analytical abilities.
10. Outstanding problem solver.
11. Good written and verbal communication skills.