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Data Engineer - Azure

Location: London, England.
Company Description:

About Merkle

Dentsu are merging the media skills of DWA, the creative & content skills of Gyro, the research skills of B2Bi and the data & platform skills of Merkle to create a global marketing services network that is dedicated to the end-to-end Customer Experience needs of global B2B clients.

The UK office of the merged network is currently 162 people strong and growing. It has international clients such as Cisco, Ericsson, Facebook, Salesforce, AWS, Grundfos, Brother, Fujitsu, Sky, Digital Realty, Goldman Sachs, Workplace and Shell.

Job Description:

The role

We are looking for exceptional candidates to join our growing Data Engineering team at Merkle 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, utilizing appropriate technologies and engineering best practices. 

Under the direction of a Solutions Architect, the post holder will  

·       Design great data solutions for our clients 

·       Work closely with local leadership as well as our global teams, bringing their key                 industry and product expertise and knowledge, to shape and deliver client                           solutions.  

·       Support our Data Scientists and Analytical Consultants working on projects 

·       Provide technical expertise and consultancy to clients to help them understand the            power of big data analytics for their organization 

Life as a Data Engineer at Merkle

In this role you will have the opportunity to work with clients from a wide range of sectors, understand their specific requirements, while liaising with data architects, data scientists and analytical consultants in order to design, develop and deliver the optimal technical solution. 

You will typically work with a few clients at different stages of maturity, bringing variety to your work and the opportunity to develop new skills, improve your knowledge and gain experience. 

As part of the Data Engineering team, you will be expected to take an active role in sharing knowledge and experiences with your team-mates through informal showcases and demonstrations.  

A few of the benefits

Whether it’s the joy of working with people at the top of their game or the Merkle social calendar, people love working here – and we hope you will too

  • Career development through Merkle University and other tools; with access to courses, textbooks and mentorship
  • Private Medical Insurance, Company Pension, life insurance and other corporate benefits
  • A selection of other benefits including 3 well being days, season ticket loan and 2 volunteer days

 

 

 

Qualifications:

What we are looking for in you

Essential: 

  • Implementation of Data Lake patterns in Azure 

  • Understanding of Data Lake partitioning policies and role based access controls  

  • Experience of Big Query  

  • Experience of Spark, Scala or similar technologies  

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

  • ETL Development using well-architected frameworks 

  • Building solutions using optimised code, repeatable, reusable techniques 

  • Dev Ops such as Continuous Integration, Automation, Infrastructures as Code 

  • CI / CD experience within ETL / data transformation environment  

  • Cross functional team work internally and with external clients 

  • Strong organisation skills 

  • Proficiency working in an Agile environment 

Beneficial 

  • Accreditation in a GCP discipline or demonstrable path towards certification  

  • Experience of Dataflow, and/or Datastore 

  • Demonstrable understanding of RBAC, security, and alerting and monitoring processes 

Additional Information:

At the point of application, the candidate must have the legal right to work in the UK as we are unable to sponsor visas as this time.

Merkle 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:

Graduate Opportunities: Whether you're still studying, recently graduated or are already working and fancy a career hop, we could have a perfect opportunity for you.
Experienced Hires: Leverage your expertise, challenge the status quo and grow your career at Merkle.