Senior Data Engineer (AdTech) at Sigma Software

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Snowflake, DBT, Airflow, Data Processing, Data Architecture, Data Workflows, Data Modernization, Data Pipelines, Collaboration, Problem Solving, Communication, Performance Improvement, Scalability, Reliability

Industry

Software Development

Description

Company Description We are looking for a Senior Data Engineer to join one of the best team at Sigma Software! You can become part of a team of over 300 experts in the AdTech domain by joining our Stellar team. What is Stellar? It’s a community, a network, and a dedicated business unit within Sigma Software that specializes in advertising technology solutions. Over the years, we’ve had the opportunity to work with some of the largest AdTech companies in the world. We’ve helped tons of AdTech startups transform from ideas into thriving businesses. Since 2008, we’ve been working with advertising technology businesses to help them envision, build, and support their technology. We are building a Competence Center where we stay focused on exploring our domain to become best in class specialists in the industry. If you strive to build long-term cooperation, develop business and relations with top Customers, and are ready to take commitments for common business growth, it could be a perfect match. Job Description Maintain and enhance existing data processes, ensuring reliability, performance, and scalability Improve and support Python-based services and contribute to the development of new ones Design, implement, and optimize scalable data architecture Drive system reliability and performance improvements across all data workflows Oversee and execute data process modernization, including the introduction of new tools and technologies Manage data flow between local storage, AWS, and Snowflake to ensure performance and cost efficiency Lead and support the migration of data pipelines and services to Snowflake Work with and improve the data orchestration layer (Airflow), ensuring stable operation, scalability, and alignment with future platform needs Collaborate with cross-functional teams to ensure architectural alignment and best practices adoption Qualifications 5+ year proficiency in Python for data processing and platform development Advanced knowledge of SQL and the ability to write efficient and complex queries Strong hands-on experience with Snowflake Proficiency in DBT for data transformation and modeling Practical experience working with Airflow to orchestrate of data workflows Upper-Intermediate level of English Additional Information PERSONAL PROFILE Excellent communication, collaboration, and problem-solving skills, with the ability to work effectively with both technical and non-technical stakeholders Proven ability to work independently, take ownership of projects, and drive initiatives to completion

Responsibilities

The Senior Data Engineer will maintain and enhance existing data processes while ensuring reliability, performance, and scalability. They will also design and implement scalable data architecture and oversee data process modernization.