Senior Data Engineer

Company Description

Merkle is a leading data-driven customer experience management (CXM) company that specialises in the delivery of unique, personalised customer experiences across platforms and devices. With a thirty year heritage as a leading data and analytics consultancy, In 2016, Merkle became part of Dentsu, one of the world’s top five 5 media companies agency networks with 60,000+ employees across 146 countries.

Dentsu leads the region in digital media trading. We generate more data, drive more audience engagement and track everything. We specialise in applications of technology that drive unmatched ROI for our clients. As a result, we take a laser focused view on the implementation and integration of technology across our digital business.

Job Description

We are looking for a Senior Data Engineer to join our growing Data Engineering team at Merkle. You will understand modern data platform architecture, have experience with software development best practices and have solved complex technical problems to deliver to clients’ requirements. You will be a competent team player, developing straightforward solutions that are scalable, utilising appropriate technologies and engineering best practices. 

• You will develop great data solutions for our clients 

• You will work with local leadership and our global teams, bringing their key industry and product expertise, to shape and provide client solutions. 

• You will support our Data Scientists and Analytical Consultants working on projects 

• You will provide technical expertise and consultancy to clients to help them understand the power of big data analytics for their organisation 

Qualifications

• Experience developing solutions in the cloud (Google Cloud Platform or Azure) 

• Experience developing production quality software using optimised code, repeatable and reusable techniques (python preferred) 

• Experience using modern DevOps practices such as version control, CI/CD, Automation, Infrastructure as Code, testing, Docker 

• An understanding of modern data processing concepts and their implementation: data lake patterns, data structures, databases, SQL, no-SQL and partitioning.  

• Excellent communication skills, able to cut across complexity to concisely and clearly convey status and actions required.  

• Comfortable interacting with clients and colleagues via email, Teams, and where appropriate, in person. 

Additional Information

Dentsu is an equal opportunity employer. We do not discriminate based on sex, gender identity, race, color, national origin, religion, sexual orientation, disabilities or any other protected basis because we believe the best and brightest come from all walks of life. We aspire to foster a community in which diversity is valued in both our employees and our ideas.

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