(Senior) Data Engineer

Job Description:

We Dream. We Do. We Deliver.

Merkle a dentsu company powers the experience economy. For more than 35 years the company has put people at the heart of its approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and business performance Merkle delivers holistic end-to-end experiences that drive growth engagement and loyalty. Merkles expertise has earned recognition as a Leader by top industry analyst firms in categories such as digital transformation and commerce experience design engineering and technology integration digital marketing data science CRM and loyalty and customer data management. With more than 16000 employees Merkle operates in 30 countries throughout the Americas EMEA and APAC. For more information visit .

Who are we looking for

We are now looking for a savvy Data Engineer to join our team of data heroes! We are open to both mid level and senior profiles.

You will be responsible for designing and building big data architecture pipelines for data lake houses in cloud as well as optimizing and productionizing machine learning and predictive models.

The ideal candidate is an experienced software engineer and data wrangler who enjoys building complex platforms from the ground up using the latest technologies in cloud. You will cooperate with data architects and data scientists on large data projects for the biggest international brands as well as build an internal platform framework to ensure consistent & optimal delivery. You should be a versatile self-starter eager to roll out next-gen data architectures comfortable supporting multiple technologies/teams/solutions/clients and also a great team player able to work within our international team with a positive startup-minded attitude.

What will you do

• Design and implement data ingestion and processing of various data sources using public cloud services.

• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs like optimizing existing data delivery re-designing infrastructure for greater scalability etc.

• Collaborate with Business Intelligence consultants and assemble large and complex data sets that meet functional and non-functional business requirements for data lakehouse.

• Support machine learning teams in deployment and optimization of AI / Machine Learning models and other data algorithms.

• Develop data pipelines to provide actionable insights into marketing automation customer acquisition and other key businesses areas.

• Use infrastructure as a code and CI/CD tools to automate release automation pipelines.

• Document data pipelines and logic in a structured manner using Confluence plan your activities using Agile methodology in Jira.

• Support pre-sales by proposing technical solutions and accurate effort estimation.

What do we expect

• Experience in building and productionizing big data architectures pipelines and data sets.

• Understanding data concepts and patterns of big data data lake lambda architecture stream processing DWH and BI.

• 3-7 years of experience in a Data Engineer role who has attained experience using the following software/tools:

  • Advanced Python programming.

  • Experience with other object-oriented / functional / scripting languages like Bash Scala Java R PowerShell etc.

  • Data related services from Azure AWS and GCP public clouds.

  • Big data technologies like Databricks Fabricm AWS Glue Snowflake Dataproc BigQuery etc.

  • Extensive working experience with relational databases like MS SQL Postgres Aurora DB and NoSQL databases like DynamoDB MongoDB Elasticsearch Redis etc.

  • Streaming technology services like Kafka Event Hubs and Kinesis etc.

  • Orchestration compute and ETL services like dbt Airflow Cloud Composer AWS Step Functions AWS Lambda Azure Functions etc.

• Strong analytic skills related to working with structured and unstructured datasets.

• Build processes supporting data transformation data structures metadata dependency and workload management.

• Experience in setting up and using CI/CD automation tools like Azure DevOps GitHub actions Jenkins etc.

• Person who is precise well organized has good communication skills can adapt to changing circumstances and is not afraid of responsibility for his / her work will do great in this role.

We will be over the moon if you also have

• Experience in delivery of business intelligence projects using tools like Power BI Tableau Looker.

• Understanding of web-tracking frameworks such as Adobe Analytics and Google Analytics.

• Experience with Salesforce Cloud services.

Why choose Merkle

Innovation at Our Core: As part of dentsus global network Merkle pushes the boundaries of customerexperience integrating creativity technology and data to drive real-world impact. For over 35 years wevebeen innovating to meet the changing needs of our clients.

Global Reach with Local Expertise: With over 16000 employees across 30 countries and part of a70000 employees network at dentsu Merkle blends global insights with a deep understanding of localmarkets to deliver personalized effective solutions.

Collaborative Culture: At Merkle your ideas and contributions truly matter. Youll join a team that fostersinnovation collaboration and creative problem-solving. Together we work on impactful internationalprojects making meaningful connections every step of the way.

Whats in It for You

Global Perspective: As part of a dentsu company collaborate with over 70000 talented colleaguesacross 145 countries to drive innovation on a global scale.

Flexibility & Balance: Enjoy hybrid work models adaptable hours and home office options.

Inclusive & Supportive Culture: We celebrate diversity and foster a respectful workplace where everyteam members unique perspective is valued and everyone is welcome.

Well-balanced reward package: We offer competitive salaries volunteer days wellness days modernoffices and a multi-cultural environment that fosters creativity and innovation.

Innovation-Driven Work: Contribute to projects that are reshaping industries and driving transformationwith next-generation technologies and strategies.

Purpose-Driven Culture: Be part of an organization that fosters sustainable growth for brands peopleand societywhere every contribution makes a meaningful impact.

Growth Opportunities: Expand your skills through training mentorship and data-driven projects thatreshape customer experience and business outcomes. Explore opportunities in the whole dentsunetwork to expand your reach.

*many more attractive benefits are waiting for you for more details regarding additional benefits pleaseask your recruiter.

Ready to join the team Shape your unique career and reach your full potential. Apply now and join us intransforming the future together.

*At dentsu Diversity Equity and Inclusion (DEI) is central to our vision: To be at the forefront ofpeople-centered transformations that shape society.
We cherish the unique talents and perspectives of all individuals welcoming applicants regardless ofgender gender identity nationality religion ethnicity cultural background sexual orientation agephysical or mental ability. By embracing diverse perspectives we create meaningful change andsustainable growth for our people clients and society. Our hiring decisions are guided by qualificationsand role-specific requirements ensuring a workplace free from discrimination and harassment.

#LI-MERKLE #LI-SOFI

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