About:

ScanmarQED is a global leader in marketing technology and analytical consultancy, dedicated to empowering businesses with better marketing decisions. If you’re passionate about building cutting-edge data platforms and shaping the future of marketing analytics, we’d love to hear from you. 

The opportunity:

We’re looking for an enthusiastic and skilled Data Engineer to join our dynamic team. In this role, you will be a key player in the deployment of the new ScanmarQED cloud-based data platform. You’ll work closely with our talented, international team to design scalable applications, explore and test innovative ideas, and share your expertise to create impactful solutions. 

This role focuses on integrating diverse marketing data sources, preparing them for analysis, and enabling real-time analytics. You’ll also contribute to translating client needs into scalable, maintainable applications that push the boundaries of marketing technology. 

You’ll report directly to the Director of Data Engineering and will be working in one of our offices in NL (Houten) CZ (Prague) or UK (London) with a flexibility in combining remote work with in-office days. If you thrive on solving complex problems, leveraging the latest technologies, and enabling business growth through smart, scalable solutions, we invite you to be part of our team! 

Data Infrastructure and Engineering Foundations

• Data Warehousing: Knowledge of tools like Snowflake, DataBricks, ClickHouse and traditional platforms like PostgreSQL or SQL Server.

• ETL/ELT Development: Expertise in building pipelines using tools like Apache Airflow, dbt, Dagster. 

Cloud platforms

• Cloud providers: Proficiency in Microsoft Azure or AWS.
  

Programming and Scripting

• Programming Languages: Strong skills in Python and SQL. 

 Data Modeling and Query Optimization

• Data Modeling: Designing star/snowflake schemas and understanding normalization and denormalization.

• SQL Expertise: Writing efficient queries and optimizing for performance.

 DevOps and CI/CD 

• Version Control: Using Git and platforms like GitHub, GitLab, or Bitbucket. 

Data Governance and Security 

• Data Quality: Ensuring accuracy, completeness, and consistency applying validation (e.g. Soda).

Analytics and Visualization 

• Analytics Tools: Basic knowledge of tools like Tableau, Power BI, or Looker.

Soft Skills

• Collaboration: Working with data scientists, business stakeholders and product owner. 
• Problem-Solving: Able to identify and address inefficiencies in pipelines or infrastructure.
• Documentation: Writing clear and comprehensive documentation. 
• Language: Strong command of English. 

We offer:

• The chance to contribute to the development of a high scale, innovative, complex data platform 
• Working in a fast paced and performance driven culture 
• Ongoing training opportunities 
• A salary matching your experience, knowledge and skills 
• A friendly, professional and international team environment 
• Flexibility to combine remote work with in-office days