Oferty dla Python praca Białystok

03.03.2026 | Pełny etat | Białystok | SiiSoftware Engineering, or a related discipline, or or a related discipline At least 8 years of experience in Software Engineering, with a minimum of 5 years dedicated to backend development using Python in production environments Demonstrated experience designing, scaling, and maintaining complex data

02.03.2026 | Pełny etat | Białystok | Sii Sp. z o.o.Technologies-expected Python - SQL - AI Agents - AWS - Microsoft Azure about-project We are seeking a Lead Data Engineer to drive the design and delivery of advanced AI and Cloud solutions within the project in the automotive industry. In this role, you will lead the development of scalable data

01.03.2026 | Pełny etat | Białystok | Sollers Consulting Sp. z.o.oOf experience in data engineering Hands-on experience with ETL/ELT processes and pipeline development Familiarity with diverse data sources (RDBMS, CDC, APIs, connectors, structured/semi-structured/unstructured files) Solid understanding of data warehouse modeling concepts Proficiency in SQL and Python

01.03.2026 | Pełny etat | Białystok | Grape UpOr Databricks on AWS) Strong experience with Apache Spark (PySpark), including performance optimization, and large-scale data processing Proficiency in Python and SQL for data transformations and analytics workloads Experience with data pipeline orchestration (Airflow, Dagster, Prefect or similar) Experience

01.03.2026 | Pełny etat | Białystok | SpyrosoftAnd optimize our Python and Java-based applications that are close to the TSDB Automate build and deployment processes in hybrid environments (e.G., public cloud and self-hosted) Work closely with development teams and architects to enhance performance and features Python development to adapt to telemetry

01.03.2026 | Pełny etat | Białystok | Grape UpOr a related field 2 years of professional experience in ML Engineering, MLOps, or DevOps with a strong focus on production ML systems Strong Python programming skills and proficiency with ML frameworks (PyTorch, TensorFlow, scikit-learn) Experience across the full ML lifecycle experiment tracking (e.G