Data Engineer (female candidates only)

It's an exciting time to be a builder. Constant technological advances are creating an exciting new world for those who understand the value of data. The mission of NIQs Media Division is to turn NIQ into the global leader that transforms how consumer brands plan, activate and measure their media activities.  

By combining technology and our extensive data assets on consumer purchases, interests, lifestyles, and media we allow advertisers to leverage outcomes to maximize their return on advertising spend. As a data engineer, you'll design and build robust data pipelines and architectures that power these insights. 

Key Responsibilities:

• Data Pipeline Development: Design, build, and maintain scalable and reliable ETL pipelines that handle both batch and streaming data sources. 
• Data Lakehouse: Implement and manage solutions to centralize and optimize access to data on our Azure Databricks instances. 
• Data Quality & Integrity: Monitor and ensure the quality, integrity, and availability of data throughout its lifecycle, implementing tools and checks to uphold high data standards. 
• Data Governance & Compliance: Support data governance practices, ensuring data is collected, stored, and accessed in alignment with regulatory requirements and internal policies. 
• Collaboration: Work alongside data scientists, analysts, and business teams to understand data needs, troubleshoot issues, and implement data solutions that align with business objectives. 
• Performance Optimization: Continuously improve data processes and infrastructure, optimizing for speed, cost-efficiency, and scalability. 

Qualifications

• Experience:

  At least 3-5 years working as a Data Engineer.

• Technical Proficiency: Experience with programming languages such as 

  Pyspark, Python, Scala or Java; strong SQL skills;

   deep experience with big data frameworks such as Apache Spark. 
• ETL & Data Pipelines: Proven experience building and maintaining ETL processes, with deep knowledge and experience with

  Azure Databricks and Apache Airflow.

• Cloud Services: Experience with

  cloud-based data services (Azure)

  , with knowledge of storage, compute, and networking. 

• DevOps and CI/CD: Experience with CI/CD tooling such as Gitlab and Infrastructure-as-Code.

• Problem-Solving Skills: Ability to troubleshoot data issues and work with stakeholders to address data-related needs and challenges. 
• Communication: Clear, collaborative communicator able to work effectively within cross-functional team

Additional Information

• Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms.
• Recharge and revitalize with help of wellness plans made for you and your family.
• Plan your future with financial wellness tools.
• Stay relevant and upskill yourself with career development opportunities. 

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)