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Paramount Tech in Warsaw plays a crucial role in Paramount global engineering organization. Through our projects we make sure that millions of users worldwide can enjoy Paramount content through web, mobile, and TV applications.
At Paramount, were revolutionizing the way small and medium businesses advertise on TV and Connected TV (CTV). Our innovative Self Serve Ads Platform empowers businesses of all sizes to create impactful advertising campaigns at ease, reaching audiences through the power of television and streaming.
Currently, we are seeking a hard-working and experienced Staff Data Engineer to join our team.
As the Staff Data Engineer, SMB Advertising, you will play a key role in Paramount’s self-serve advertising platform’s measurement, attribution, and delivery optimization. You will be responsible for designing and implementing data architecture, cleaning and preprocessing data, and building robust data pipelines to support advertising analytics, operations, and optimizations. You will directly drive the impact of the scalability, reliability, and performance of our advertising platform.
Design and implement scalable data architecture for the TV/CTV self-serve advertising platform, ensuring optimal performance and reliability.
Develop data cleaning and preprocessing routines to ensure the integrity and quality of incoming data from multiple sources, including the self-serve ads platform, ad servers, streaming platforms, and third-party providers.
Collaborate with multi-functional teams to understand data requirements and implement solutions to support data modeling, advertising optimization, attribution, and reporting.
Implement monitoring and alerting systems to proactively identify and address data quality issues, pipeline failures, and performance bottlenecks.
Stay ahead of industry standard processes and emerging technologies in data engineering and advertising technology, applying new methodologies to drive continuous improvement.
Jira, Confluence;
Our teams own “how” decisions - we are autonomous regarding the architectural choices, technologies, and approach to providing high quality solutions;
Our Engineers are involved in every stage of SDLC;
Our divisions are built from various engineers, i.e. Backend, Mobile, DevOps, Test Automation and System Engineers, Product Owners, Scrum Masters, Agile Coaches;
We focus on test automation and code quality – and we do that by automating whatever is possible!
The majority of business clients are located in NY or London;
Every project is run based on Agile principles using Scrum / Kanban.
Employment contract;
Hybrid working model (our office is located near Plac Zbawiciela in Warsaw),
Multisport card + private medical care;
English and Polish language lessons;
In-house activities: tech talks, hackathons;
You can use 10% of your working time to pursue your personal development, and side projects;
Well located, modern office with lots of amenities – adjustable desks, electronics toolkit, 3D printer ready for you to use, pool table, console, table tennis, massage chair.
We are looking for Engineers that:
Will provide support for less experienced engineers - knowledge sharing and mentoring is important to us;
Keep up to date with modern web technologies;
Are curious, with a desire to learn and the ambition to quickly become a self-reliant, top-notch software engineer;
Easily and openly communicate in English.
And on the technical side we need:
Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
Proven experience (5+ years) working as a Data Engineer, preferably in the media or video advertising industry.
Strong expertise in data architecture design, including relational and non-relational database systems, data warehousing, and distributed computing platforms.
Experience building and maintaining robust data pipelines using technologies like Apache Kafka, Apache Airflow, or similar workflow orchestration tools.
Familiarity with cloud computing platforms such as AWS, Google Cloud Platform, or Microsoft Azure, including experience with services like S3, Redshift, BigQuery, and Dataflow.
Strong understanding of data privacy and security principles, with experience implementing data governance and compliance measures.
Excellent problem-solving and troubleshooting skills, with the ability to diagnose and resolve complex data engineering issues.
Effective communication and collaboration skills, with the ability to work closely with technical and non-technical stakeholders across the organization.
Experience with big data technologies and platforms such as Hadoop, Spark, or Hive
Experience with cloud provider(s): AWS, GCP, and/or OCI,
D. in Computer Science, Statistics, Mathematics, or related field preferred
Excellent communication skills with the ability to translate complex technical concepts into actionable insights for non-technical partners.
Proven track record of leading data-driven projects from conception to execution, delivering measurable business impact.