Merkle is a leading data-driven, technology-enabled, global performance marketing agency that specialises in the delivery of unique, personalised customer experiences across platforms and devices. We call it ‘people-based’ marketing, and with over 25 years’ experience, we are proud to be recognised as a global leader.
Merkle’s heritage in data, technology and analytics is the foundation for our understanding of consumer insights that drives our people-based marketing strategies. Combined with our expertise in performance creative and media, we can then offer our clients content-driven, contextual and compelling customer experiences that drive business growth.
In 2016, the agency joined dentsu, one of the world’s biggest media companies to form the Customer Experience Management (CXM) Line of Business.
We are looking for exceptional candidates to join our growing Data Engineering team focused on delivering high quality solutions to clients, both internal and external.
The successful candidate will understand modern data platform architecture and have experience in troubleshooting complex cloud solutions. You will be a competent and enthusiastic team player, developing simple and sensible solutions that are scalable, utilizing appropriate technologies and engineering best practices.
Under the direction of a Senior Data Engineer, the role holder will:
- Collaborate in the delivery and support of first-rate solutions for our clients.
- Provide data engineering support to our Data Scientists and Analytical Consultants working on complex client projects.
- Provide technical expertise to clients to help them understand the power of big data analytics for their organization.
Life as a Data Engineer in Analytics 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.
You’ll already be comfortable and confident with Microsoft Azure and must have a good working knowledge of services and applications like:
- Azure and specifically Azure used with Data & AI
- Azure DevOps
- Microsoft SQL Server / Azure SQL
- Azure Storage
- Data Lake engines & Lake House architectures.
- CI/CD to support Data Ops processes and behaviors.
- Excellent communication skills.
- Highly organized and conscientious operator who can be trusted to consistently deliver high quality work with minimal supervision.
- Comfortable interacting with clients and colleagues via email, Teams, and where appropriate, in person.
- Strong project and time management; able to manage own time and priorities in order to deliver value to multiple projects simultaneously.
Knowledge and experience with Databricks, Spark and Azure Data Factory would be an advantage as would any formal Cloud Data Engineering accreditations.
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 ability to buy additional holiday, season ticket loan and 2 volunteer days
Diversity, Equity & Inclusion
At Merkle, a dentsu company, we believe that creating diverse and balanced teams is not just a moral imperative, it is a business imperative. To help our clients reach millions of different people every day, we need our people to reflect the society that we represent.
We aim to create an inclusive culture where all talent thrives, and we champion meaningful progress in diversity, equity and inclusion (DEI) for our people, clients and partners.
DEI is firmly embedded into our shared values - the 8 Ways to Never Before - and our Leadership Framework, which applies to all of our people. And our Global DEI Principles reflect our pledge to be an organisation that promotes wellbeing and inclusivity for everyone - regardless of ethnicity, race, sexual orientation, gender (incl. gender identity and gender expression), age, neurodiversity or physical ability.
We are proud of what makes us different and encourage applicants from all different backgrounds to apply to join us. We are always happy to discuss all flexible and agile approached to working and should you have any reasonable adjustment needs arising from a disability or medical condition to fully participate in the recruitment process, please discuss this with our recruitment teams.
What we are looking for in you
You will have a good understanding of distributed computing, data and application architectures, networking, security, and infrastructure management. You produce great code to drive production-grade data pipelines with durability and elasticity as standard.
Awareness of how Data Engineering enables Big Data with a functional knowledge of ELT/ETL pipelines, Modelling and Lakehouse architectures and Insight Experience tools like Power BI would be a plus.
Above all you will be a curious, driven individual with a passion for data, ready to learn and develop your skills in an exciting, empowered and challenging role.
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.