Senior Data Engineer

Reposted 9 Days Ago
Be an Early Applicant
Serbia
5-7
Senior level
AdTech • Marketing Tech • Software
The Role
As a Senior Data Engineer, you'll architect and build data pipelines, optimize AWS infrastructure, and empower data analytics teams while ensuring data quality and security.
Summary Generated by Built In

About billups

We’re a 450-person team spread across Latin America, Asia, Oceania, Europe, and the Middle East — united by one mission: transforming OOH into something smarter, measurable, and unforgettable for advertisers & brands. For over 20 years we’ve grown by empowering curious, collaborative people who want to do work that matters. Join us and bring your talent to a global team where you’ll be seen, valued, and part of building what’s next. We are building the future of OOH Media.


The Role

Senior/Lead Data Engineer to architect and build the company's data backbone. Own terabyte-scale data pipelines, maximizing automation, efficiency, and scalability. Collaborate with data science/analytics teams, turning prototypes into robust production data products. High-impact role making foundational technical decisions shaping the platform for years.


What You'll Do

  • Build/optimize PySpark/Databricks pipelines processing terabytes of real-time/batch geolocation data daily.

  • Automate/cost-optimize AWS data infrastructure (scalable, reliable, efficient).

  • Empower data science/analytics: Productionize models, build data products for campaign analysis.

  • Ensure data quality/privacy: Automated monitoring, rapid de-anonymization for secure datasets.

  • Develop core infrastructure: Golden tables, reports, dashboards (single source of truth).

  • Lead foundational project: Automate/re-architect core data prep platform (greenfield).


Core Qualifications (Must-Haves):

  • Experience: 5+ years of professional experience in data engineering for a Senior role; 7+ years with demonstrated technical leadership for a Lead role.

  • Python & Spark: Advanced proficiency in Python for data engineering and extensive hands-on experience with PySpark for processing large-scale datasets.

  • Databricks: Practical, in-depth experience with the Databricks platform, with a strong understanding of how to optimize Spark jobs for performance and cost.

  • SQL Mastery: Ability to write, debug, and optimize complex SQL queries.

  • Cloud Expertise: Strong experience with AWS cloud services, particularly S3 for data storage and SQS/SNS for messaging, serverless functions.

  • Data Architecture: Solid understanding of Data Lake and Data Warehouse architectures and design principles.

  • Orchestration & CI/CD: Experience with workflow orchestration tools like Apache Airflow (or Prefect, Dagster) and building/maintaining CI/CD pipelines (e.g., GitHub Actions).

  • Containerization: Foundational knowledge of Docker and Kubernetes.

  • Communication: Professional fluency in English, as all team communication and documentation are in English.


Nice-to-Have:

  • Geospatial Data: Experience with geospatial libraries and tools (e.g., GeoPandas, PostGIS).

  • Infrastructure as Code: Experience with Terraform.

  • Databases: Familiarity with columnar databases (e.g., Redshift, ClickHouse).

  • Monitoring & Visualization: Experience with monitoring stacks (e.g., ELK, Grafana).

  • Version Control: Proficiency with Git and collaborative workflows like GitFlow.

Scam Warning:

Please be aware that the billups Global Talent Acquisition team will only contact you directly from an official @billups.com email address. We do not use third-party platforms or unofficial email domains—such as careers.info—to make job offers or request personal information.


billups will never:

• Ask you to provide passport information, utility bills, or other sensitive personal documents during the interview process.

• Request that you purchase work equipment or send money in any form.

• Make job offers through unofficial channels or email addresses not ending in @billups.com.

To be considered for any open position at billups, you must apply directly through our official website at billups careers. We do not accept applications via email, social media, or third-party job boards.

If you receive any suspicious communication claiming to be from billups—especially from [email protected] email addresses—do not respond or share any personal or financial information.


To verify the legitimacy of any message or job opportunity, please contact us directly at [email protected] or visit our official website.


Your safety and security are important to us — stay alert!

Top Skills

Apache Airflow
AWS
Databricks
Docker
Kubernetes
Pyspark
Python
SQL
Terraform
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The Company
HQ: New York, New York
394 Employees
Year Founded: 2003

What We Do

billups is reinventing out-of-home planning and placement for the performance age. Blending art and science, billups leads the industry with patented scientific targeting, accurate out-of-home measurement and an AI-powered recommendation engine. billups supports advertisers, agencies and media owners through services and platform technology that make out-of-home as automated and attributable as the most effective digital ads.

With people across the US, Canada, Europe, Middle East, Southeast Asia, and Australia, billups is the largest privately held technology and managed services company in North America to inspire advertisers and agencies to build and measure intelligent campaigns by connecting brands to their audiences.

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