Data Engineer

5 days ago

Copenhagen Metropolitan Area, Denmark AudienceProject Full time 80,000 - 148,000 per year

About the Company

At AudienceProject, we're on a mission to bring transparency and certainty to advertising measurement. We empower brands, agencies, and publishers across the globe with tools to measure, target, and optimize their ad campaigns with unparalleled accuracy. We are a Danish-founded scale-up with an international presence, and we are constantly pushing the boundaries of what's possible in the ad-tech and mar-tech space.

About the Role

As a Data Engineer on the Engine team, you will be a vital contributor to building and optimizing the data infrastructure that powers all AudienceProject products. You will work on massive datasets, utilizing cloud-native technologies and cutting-edge data processing frameworks to ensure our data is clean, efficient, and ready for real-time applications.

Responsibilities

  • Design & Build:
    Architect, implement, and maintain highly scalable and fault-tolerant data pipelines (ETL/ELT) using technologies like Spark, Flink, or similar processing engines.
  • Scale:
    Optimize our core data ingestion and processing systems to handle growing volumes of real-time event data (currently petabytes and growing).
  • Infrastructure:
    Work with our cloud infrastructure (AWS/GCP/Azure) to deploy, manage, and scale data services, utilizing tools like Kubernetes and Terraform.
  • Quality & Reliability:
    Implement robust monitoring, alerting, and quality checks to ensure data accuracy and pipeline health.
  • Collaboration:
    Work closely with Product Managers, Data Scientists, and other engineering teams to understand data requirements and deliver solutions that meet business needs.

Qualifications

  • Proven experience (3+ years preferred) as a Data Engineer, Backend Engineer, or similar role focusing on large-scale data systems.

Required Skills

  • Programming:
    Strong proficiency in at least one object-oriented programming language, such as Python or Scala, used for data processing.
  • Big Data Tech:
    Hands-on experience with modern Big Data frameworks (e.g., Apache Spark, Flink, Kafka) is essential.
  • Cloud:
    Experience working with a major cloud provider (e.g., AWS, GCP, or Azure).
  • Database Skills:
    Solid understanding of both SQL and NoSQL databases.
  • Mindset:
    A strong problem-solving ability, an independent work ethic, and a passion for engineering excellence.

Preferred Skills

  • Stream processing (e.g., Apache Kafka, Kinesis, Flink).
  • Infrastructure as Code (Terraform, CloudFormation).
  • Containerization and orchestration (Docker, Kubernetes).
  • Ad-tech/Mar-tech data models or event-based systems.

Pay range and compensation package

Competitive salary, comprehensive benefits package, flexible working arrangements, and a great office location in Copenhagen.

Equal Opportunity Statement

We are committed to diversity and inclusivity.

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