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Senior Data Engineer - Dubai

Location: Dubai, .
Company Description:

When you join Dentsu Aegis Network – whichever of our network brands you join – you’re becoming part of one team. A team with diverse talents in media, creative content and technology. And one with a shared ambition: to innovate the way brands are built.

Our collaborative and agile ways of working means you’ll develop versatile skills and be exposed to new and exciting thinking. Combine that with a pioneering spirit aimed at making a positive impact on brands, society and each other – and you’ll soon realise why we’re at the forefront of the digital economy.
Together we make our mark. Together we embrace the true potential of disruption. And together – across all our locations – we help our clients win in a changing world.
If you want to belong to a one global network where opportunities are limitless – we look forward to welcoming you.

Job Description:

We are looking for exceptional candidates to join our growing Data Engineering team at Merkle|Aquila to focus on delivering solutions to clients. Successful candidates will understand modern data platform architecture and have solved complex technical problems to deliver to clients’ requirements. You will be a competent team player, developing simple and straightforward solutions that are scalable, utilising appropriate technologies and engineering best practices.

Life as a Senior Data Engineer at Merkle | Aquila

In this role you will have the opportunity to work with clients from a wide range of sectors, understand their specific requirements, liaise with data scientists and analytical consultants, and design, develop and deliver technical solutions. You will typically work with a few clients across stages of maturity, allowing variety in your work and the opportunity to pick up new skills as needed. You’ll work alongside industry leading cloud technologies such as AWS, Azure, and GCP, BI platforms like Tableau, Power BI, Thoughtspot and Data Science platforms DataBricks, Qubole, Lytics and many more. You will do this as part of a dynamic, highly skilled, and flexible team working on exciting and challenging projects.


What we are looking for in you

You will have a deep understanding of distributed computing, data and application architectures, basic networking, security, and infrastructure with a strength in writing great code to produce production-strength data pipelines and scalable systems. A knowledge of Big Data with a focus on data engineering; optimising data, pipelines, ETLs, data modelling and analytical tools are a plus.


·       Solution architecture of Data Lake patterns across either Azure, AWS or GCP

·       Experience of Spark, Scala or similar technologies

·       A strong understanding of data modelling, data structures, databases, and data ingestion and transformation

·       Dev Ops such as Continuous Integration, Automation, Infrastructures as Code, Cloudformation, and Teraform

·       Cross functional team work internally and with external clients

·       Strong project Management and oranisation skills

Additional Information:

Dentsu Ageis Network does not discriminate against job applicants on the basis of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation. Experience stipulated in this job description serves as a guide only and all applications will be considered on their merits, irrespective of experience. 

As part of our Diversity and Inclusion agenda, and as an Equal Opportunities employer, if you require reasonable adjustments during the selection process please engage directly with your Recruiter.

More Information:

Our Culture: Merkle’s energy and personality lives through everything we say and do. Learn all about what defines our people and our vibe.

Students & Recent Graduates: Start your career at Merkle and get on the path to success.

Experienced Hires: Leverage your expertise, challenge the status quo and grow your career at Merkle.

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