AI-Driven Data Scientist & ETL Automation Architect

Ascendion; Gdynia; On-site; PLN 120,000 - 180,000; Full time

Job summary

Ascendion is seeking a Data Scientist to design, build and deploy scalable data and AI solutions that support Real Time Content Operations. This role blends data science, data engineering and automation to deliver production-ready datasets, ETL pipelines and AI-enabled workflows.

You will work with business, product, engineering and operations teams across regions from our Gdynia office to improve data quality, efficiency and client outcomes while mentoring content operations teammates and

Qualifications

• Experience developing ETL processes, data pipelines and data integration solutions.
• Advanced Python programming skills for data engineering, analytics and automation.
• Strong SQL skills and experience designing data models and transformation workflows.
• Experience with Azure data and AI services, including Power BI and Power Automate.
• Experience designing and optimising large-scale data processing solutions.
• Knowledge of data quality controls, monitoring frameworks and operational reporting.
• Experience deploying AI and automation solutions into production environments.
• Strong understanding of API integration, structured and unstructured data processing, and enterprise data architecture.
• Experience working within centric cloud environments and modern data platforms.

Responsibilities

• Designing, developing and maintaining scalable ETL and data integration pipelines.
• Building and deploying AI, machine learning and automation solutions.
• Designing and implementing data models, transformation logic and quality controls across multiple datasets and systems.
• Leading the delivery of data science initiatives from concept through production implementation.
• Collaborating with engineering teams to establish robust, scalable and maintainable production environments.
• Driving improvements in data governance, lineage, monitoring and operational resilience.
• Working with stakeholders to identify opportunities for automation and process optimisation.
• Integrating data from multiple sources through APIs, databases and enterprise applications.
• Providing technical guidance and mentoring to content operations team.
• Supporting the evaluation and adoption of emerging AI, automation and platform capabilities.
• Producing documentation, technical designs and implementation standards.
• Communicating technical solutions and business impact to senior stakeholders and non-technical audiences.

Skills

ETL pipelines

Python programming

SQL

Azure data & AI services

Data modeling

API integration

Mentoring

Tools

Power BI

Power Automate

Azure Data Factory

Job description

Ascendion is seeking a Data Scientist to design, build and deploy scalable data and AI solutions that support Real Time Content Operations. This role blends data science, data engineering and automation to deliver production-ready datasets, ETL pipelines and AI-enabled workflows.

You will work with business, product, engineering and operations teams across regions from our Gdynia office to improve data quality, efficiency and client outcomes while mentoring content operations teammates and