Cloud Engineer

Samba TV; Warszawa; On-site; PLN 170,000 - 235,000; Full time

Benefits offered by this job

Health insurance

Wellness offerings

Life and disability insurance

Retirement savings plan

Paid holidays and time off

Job summary

A leading media intelligence company is looking for a skilled Data Engineer to join their Data Technology team in Warsaw. The successful candidate will design, build, and maintain scalable data pipelines, utilizing technologies like Apache Spark and Databricks. With a strong background in Python and SQL, you will optimize data transformations for large datasets and collaborate with various teams to ensure data quality and governance. The role offers competitive compensation and benefits, reflecting the company's commitment to employee well-being.

Qualifications

• 2-4 years of professional experience in data engineering or a closely related role.
• Hands-on experience building and debugging data pipelines and automation scripts.
• Familiarity with modern table formats such as Delta Lake or Iceberg.

Responsibilities

• Design, build, and maintain scalable data pipelines supporting both internal and external data consumers.
• Develop and optimize data transformations for large-scale datasets.
• Collaborate with data scientists, analysts, and software engineers to deliver governed, reusable data assets.

Skills

Python

SQL

Apache Airflow

Databricks

Apache Spark (PySpark)

Cloud infrastructure (AWS/GCP)

Debugging and problem-solving

Communication skills

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field

Tools

AWS

BigQuery

Snowflake

Kubernetes

Git

Job description

Samba is an AI-powered media intelligence company on a mission to give marketers the complete picture of their audiences. Our AI indexes media consumption across millions of smart TVs and 2.5 billion web pages, combining that data with third-party signals through the Samba Knowledge Graph, a map of the real interests, behaviors, and purchase intent of 1.5 billion user profiles globally. Brands, agencies, publishers, and platforms use Samba to make smarter decisions across every stage of the marketing funnel.

We are seeking a skilled Data Engineer to join our Data Technology team in Warsaw. Our team builds and maintains the data platform that powers the entire organization – from ingestion and analytics to reporting, from viewership and contextual datasets to scalable applications that enable data-driven decision making. You will contribute to the design, development, and maintenance of our data infrastructure, working primarily on AWS, Databricks, BigQuery, and Snowflake technology.

At this level, you are a self-sufficient contributor who takes clear ownership of well-scoped pipeline components and features, collaborates effectively with teammates and cross-functional stakeholders, and begins developing the breadth to navigate the full data lifecycle. You bring 2-4 years of hands‑on experience, write production-quality code, and are ready to grow toward greater technical autonomy.

What You'll Do

• Design, build, and maintain scalable data pipelines supporting both internal and external data consumers, using Apache Spark (PySpark), Airflow, Databricks, and BigQuery/Snowflake
• Develop and optimize data transformations for large-scale datasets, applying modern table formats such as Delta Lake and Iceberg
• Own and operate Airflow DAGs and orchestration workflows, ensuring reliable and timely delivery of data products
• Participate in the modernization of data frameworks and integrations across Databricks and BigQuery environments
• Build and integrate data validation and quality assurance tooling using frameworks such as Great Expectations or similar. Implement monitoring, logging, and alerting for data workflows to ensure production reliability
• Debug and resolve pipeline issues across distributed environments, including cloud storage (AWS S3/GCS), databases, and orchestration tools
• Contribute to the implementation of data governance and access controls using Databricks Unity Catalog
• Collaborate with data scientists, analysts, and software engineers to deliver governed, reusable data assets
• Participate in code reviews, contribute to documentation, and help raise engineering standards within the team
• Identify bottlenecks in the development lifecycle and contribute ideas to improve them

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience
• 2-4 years of professional experience in data engineering or a closely related role
• Strong proficiency in Python and SQL; hands‑on experience building and debugging data pipelines and automation scripts
• Experience with Apache Airflow for workflow orchestration, including DAG development, operator configuration, and troubleshooting
• Hands‑on experience with Databricks and Apache Spark (PySpark) for large-scale data processing
• Familiarity with modern table formats such as Delta Lake or Iceberg
• Experience with cloud infrastructure (AWS and/or GCP), including S3/GCS bucket management and cloud data services
• Experience with database migration workflows and version‑controlled configuration management (Git)
• Strong debugging and problem‑solving skills with the ability to trace issues across distributed systems
• Ability to manage a queue of operational tickets and prioritize based on SLA urgency
• Strong communication skills; comfortable working asynchronously in a distributed, cross‑timezone team

Nice to Have

• Experience with BigQuery or Snowflake as primary data warehousing platforms
• Familiarity with Databricks Unity Catalog for data governance and metadata management
• Experience with Kubernetes (EKS, GKE) or containerized data workflows
• Knowledge of CI/CD pipelines for data platform environments
• Experience working with REST APIs for data access, automation, or integration
• Familiarity with FinOps concepts or cloud cost management principles
• Background in ad tech, media measurement, or streaming data domain

Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.

Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU, Samba Inc. is the data controller.

Samba expects to offer a base salary between 170 000 PLN - 235 000 PLN per year for roles to be performed in Warsaw; the actual base salary offered will depend on various factors, including but not limited to, location, experience, and performance. Base salary is just one component of Samba total compensation package for employees. Other rewards may include bonuses, short‑term incentives, and long‑term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.