Lead data pipeline modernization and technical architecture in Stockholm, managing migration, security, and process implementation.
Responsibilities
Design and drive architecture, migrating pipelines incrementally while ensuring existing outputs remain unchanged
Establish sustainable engineering processes for testing, code reviews, incident management, and releases
Combine architectural leadership with hands‑on engineering using Airflow, Spark, dbt, BigQuery, and Python
Collaborate closely with and mentor a Data Engineer within the team, ensuring long‑term ownership, reliability, and independent maintenance of the migrated pipelines
Lead the modernization and migration of data pipelines in a hybrid setting, ensuring security, compliance, and operational excellence.
Locations (2)
Stockholm, Stockholm County, Sweden
Gothenburg, Västra Götaland County, Sweden
Responsibilities
Design and drive the architecture, migrating pipelines incrementally while ensuring existing outputs remain unchanged.
Establish sustainable engineering processes for testing, code reviews, incident management, and releases.
Combine architectural leadership with hands‑on engineering using Airflow, Spark, dbt, BigQuery, and Python.
Collaborate closely with and mentor a Data Engineer within the team, ensuring long‑term ownership, reliability, and independent maintenance of the migrated pipelines.
Design and drive the architecture, migrating pipelines incrementally while ensuring existing outputs remain unchanged.
Establish sustainable engineering processes for testing, code reviews, incident management, and releases.
Combine architectural leadership with hands‑on engineering using Airflow, Spark, dbt, BigQuery, and Python.
Collaborate closely with and mentor a Data Engineer within the team, ensuring long‑term ownership, reliability, and independent maintenance of the migrated pipelines.
You’ll work side by side with Product Specialists and Product Managers in a cross‑functional Agile team, helping design and build our interactive platform from end to end.
Responsibilities
Build client‑ready dashboards and run large‑scale data analysis
Design new data workflows and analytical queries to support the launch of new product features and instances
Apply advanced statistical and data‑mining techniques such as fraud analysis, sentiment analysis, regressions, and time‑series analysis
Support team leads with problem‑solving, hypothesis generation, research, and quality control
Communicate findings clearly to teammates and product leads
Requirements
Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or another technology‑related field — or equivalent hands‑on experience
Project Leader – AI Powered Quality to accelerate the development and deployment of Artificial Intelligence solutions across MDRF product group Quality & Reliability activities.
Locations (2)
Agrate, Italy, Italy
Grenoble, France, France
Responsibilities
Develop and evaluate AI-based solutions (Generative AI, Machine Learning, AI Agents).
Lead pilot projects from ideation to deployment.
Gather business requirements and translate them into technical solutions.
Coordinate cross-functional stakeholders and drive adoption.
Measure impact through productivity, quality, and cycle-time improvements.
Requirements
Master's degree in AI, Data Science, Computer Science, Engineering, or equivalent
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