Company Description

We Dream. We Do. We Deliver.

As a full-service, data-driven customer experience transformation, we partner with Top 500 companies in the DACH region and in Eastern Europe. Originally from Switzerland, Merkle DACH was created out of a merger Namics and Isobar - two leading full-service digital agencies.

Our 1200+ digital enthusiasts are innovating the way brands are built, through providing expertise in Digital Transformation strategy, MarTech platforms, Creativity, UX, CRM, Data, Commerce, Mobile, Social Media, Intranet and CMS. We are part of the global Merkle brand, the largest brand within the dentsu group, who shares with us a network of over 66,000 passionate individuals in 146 countries.

Job Description

  • Design & implement data ingestion and processing of various data sources using AWS cloud ‘big data’ technologies like Spark, Glue, Airflow, Kafka, NoSql DBs, SageMaker
  • Create and maintain data tools for data scientist / analyst teams that assist them in building and optimizing data algorithms like AI / Machine Learning models, productionize the models

  • Assemble large, complex data sets that meet functional / non-functional business requirements for data lakehouse

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

  • Support deployment of DevOps automation of continuous development / test / deployment processes

  • 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.


  • Basic experience in building and productionizing big data architectures, pipelines and data sets.
  • Understanding (big) data concepts and patterns (data lake, lambda architecture, streaming processing,  DWH, BI & reporting)

  • 2+ years of experience in a Data Engineer role, who has attained experience using the following software/tools:

    • First experience with big data tools like Hadoop, Spark, Kafka, etc.
    • Experience with object-oriented/object function scriptin languages: Python, Scala, Java etc.
    • Basic experience with AWS (Glue, EC2, EMR, RDS, Redshift, Sagemaker) cloud services
    • Implementing large-scale data/events oriented pipelines/workflows using ETL tools
    • Working experience with relational (eg. MS SQL, Oracle, postgress, Snowflake..) and NoSQL databases (eg. Cassandra, MongoDB, Redshift, Elasticsearch, Redis,…)
  • Strong analytic skills related to working with (un)structured datasets

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

Additional Information

We work with highly motivated people, who support and enrich each other. We live the possibilities of the digital world through home office, meaning you can work anywhere with flexible (annual) working hours. We also value face-to-face exchanges - coffee or tea, biscuits or fruit are all welcomed on board and shared throughout our offices.

If you ever feel the need to take a break from the digital world, we love to get hands on together and use pens, paper, and whiteboards for brainstorming sessions. Need to clear your head? Hit the foosball table, PlayStation, massage bench or yoga mat. For networking and (brain) food, we offer regular exchange formats, like meetings, tech labs and more. Not enough? We are full believers in education and support training, whether it be internally or externally. We support you.

If you feel inspired by us, we’ll probably be inspired by you. Join us now and apply online to make sure we match each other’s expectations. We value diversity and are committed to creating an inclusive environment. We welcome all qualified candidates - regardless of your gender or background, please indicate your salary expectations and possible entry date. We look forward to hearing from you!

Personal consultancies - we only work with selected partners.


Marijana Pavlovic
Senior Client Talent Acquisition Business Partner
Telefon: +49 69 365 059 283

You have questions about the job? Then write us an e-mail.

Merkle Recruiting-Team Deutschland
Our recruiting team is looking forward to hearing from you.

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