Lista ofert pracy

• Designing solution architectures in Python, Cloud, and Java environments
• Participating in Python development projects as a technical consultant or leader
• Co-creating a Python language competency center within the company
• Building and supervising an internal development and training program for Python and other related technologies, as well as leading workshops and mentoring sessions
• Establishing, promoting, and guiding clean code solutions and best practices in the field of Python
• ...

• Python expertise: Over 5 years of experience in writing high-quality, scalable code and designing robust software architectures using libraries like Flask, SQLAlchemy, Celery, etc.
• Preferred AI Development Proficiency: Strong knowledge of Python libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and Keras, with practical experience in building AI-powered applications
• Preferred AI and LLM Skills: Expertise in frameworks like LangChain and hands-on experience with large language ...

• Develop and implement scalable models and analytics solutions to address real-world challenges.
• Translate business requirements into data-driven insights and actionable goals.
• Optimize data pipelines to enhance data processing and analysis capabilities.
• Design automated processes for data analysis and report generation.
• Ensure seamless integration of data solutions within client environments.
• Stay updated with the latest data science technologies and methodologies to apply them ...

• Minimum of 4-5 years of experience in data science, demonstrating a proven track record of delivering comprehensive data science solutions from start to finish.
• Skilled in Python with strong familiarity with data science libraries like NumPy, pandas, and scikit-learn.
• Proficient in SQL for effective data management and querying.
• Experience in classical ML: linear regression, time series, feature selection methods, predictive modeling.
• Strong skills in creating data visualizations, ...

• Develop and maintain a high-performance data processing platform for automotive data, ensuring scalability and reliability.
• Design and implement data pipelines that process large volumes of data in both streaming and batch modes.
• Optimize data workflows to ensure efficient data ingestion, processing, and storage using technologies such as Spark, Cloudera, and Airflow.
• Work with data lake technologies (e.g., Iceberg) to manage structured and unstructured data efficiently.
• Collaborate ...

• At least 5 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance, and data management processes.
• Strong programming skills in Python (or Java/Scala): writing clean code, OOP design.
• Hands-on with Big Data technologies like Spark, Cloudera Data Platform, Airflow, NiFi, Docker, Kubernetes, Iceberg, Trino, or Hudi.
• Excellent understanding of dimensional data and data modeling techniques.
• Experience implementing and deploying solutions in...

• Design, build, and maintain enterprise-grade data warehouses using Snowflake.
• Develop scalable and secure data pipelines on AWS (e.g., S3, Glue, Lambda, IAM).
• Collaborate with business and analytics teams to translate requirements into technical solutions.
• Build data models and dashboards in Tableau to support business decision-making.
• Implement and maintain ETL/ELT processes for structured and semi-structured data.
• Optimize performance, cost, and scalability of cloud-based data ...

• 5 years of experience in a Data Engineer or similar role.
• Proficiency in Python for data processing and scripting.
• Strong experience with Snowflake and data warehouse architecture.
• Hands-on experience with Amazon Web Services (S3, Glue, IAM, Lambda, Redshift optional).
• Solid knowledge of SQL and data modeling for analytics.
• Proven experience building data pipelines and ETL/ELT workflows.
• Experience working with large-scale, enterprise-level datasets.
• Good understanding of data ...

• Design, develop, and optimize scalable data pipelines and ETL/ELT processes.
• Work with structured and unstructured data from various sources.
• Collaborate with Data Scientists, Software Engineers, and Business Analysts to meet data requirements.
• Implement data quality, data validation, and monitoring practices.
• Participate in architecture and design discussions to build cloud-native data platforms.
• Maintain and optimize data storage solutions (data lakes, data warehouses).
• Ensure ...

• Must have:
• Programming Languages: Python, SQL
• Data Warehousing: Snowflake, Redshift
• ETL/Orchestration Tools: Apache Airflow, dbt
• Cloud Platforms: AWS (S3, Lambda, Kinesis, Batch, DynamoDB, Athena, Glue, etc.)
• Version Control: Git
• Infrastructure as Code: Terraform
• Nice to have:
• Data Processing: Spark (Databricks), Kafka
• Databases: MS SQL (SSIS, SSAS), PostgreSQL, MySQL

• Lead the implementation of complex UI features using React, TypeScript, and Next
• Work closely with product and design to turn ideas into polished, user-friendly interfaces
• Contribute to architectural decisions and help evolve our frontend tech stack
• Ensure code quality through code reviews, testing, and best practices
• Mentor other frontend engineers and elevate the technical bar
• Optimize for performance, accessibility, and scalability
• Drive improvements in tooling, developer ...

• 5 years of experience in frontend development with React and TypeScript
• Strong knowledge of Next and modern frontend best practices
• Proven experience designing and implementing production-grade frontend architectures
• Ability to collaborate across disciplines and take ownership of end-to-end feature delivery
• Familiarity with REST or GraphQL APIs and fullstack workflows
• Comfortable working in a bilingual setting (Polish B2 and English B2)
• Bonus: experience with Python (FastAPI, ...

• Build brand-new POCs and MVPs to investigate new business directions
• Design microservices from scratch and lead the pods
• Participate in communication with clients and discuss technical decisions
• Write effective, scalable code according to Clean Code, DRY concepts, etc.
• Develop back-end components to improve responsiveness and overall performance
• Test and debug programs
• Improve functionality of existing systems
• Communicate with the team on a day-to-day basis
• Influence decisions ...

Must have:

• Strong background in Python development, preferably with 4 years of solid commercial development
• Solid understanding of DB design principles and querying
• Passion for clean code, peer reviews, and high code quality standards
• Experience with clouds (AWS preferably)
• Understanding of working in an agile environment
• Self-driven, comfortable with autonomy and open team cultures (trust > process)
• Good English communication skills, at least B2 level
• Readiness to work with ...

• Responsible for at-scale infrastructure design, build, and deployment with a focus on distributed systems
• Building and maintaining architecture patterns for data processing, workflow definitions, and system-to-system integrations using Big Data and Cloud technologies
• Evaluating and translating technical design to workable technical solutions/code and technical specifications at par with industry standards
• Driving creation of re-usable artifacts
• Establishing scalable, efficient, ...

• 3 years’ experience with AWS (Glue, Lambda, Redshift, RDS, S3)
• 5 years’ experience with data engineering or backend/fullstack software development
• Strong SQL skills
• Python scripting proficiency
• Experience with data transformation tools – Databricks and Spark
• Data manipulation libraries (such as Pandas, NumPy, PySpark)
• Experience in structuring and modelling data in both relational and non-relational forms
• Ability to elaborate and propose relational/non-relational approach, ...

• Developing and maintaining data pipelines to ensure seamless data flow from the Loyalty system to the data lake and data warehouse
• Collaborating with data engineers to ensure data engineering best practices are integrated into the development process
• Ensuring data integrity, consistency, and availability across all data systems
• Integrating data from various sources, including transactional databases, third-party APIs, and external data sources, into the data lake
• Implementing ETL ...

• 7 years in a data engineering role
• Hands-on experience in building data processing pipelines
• Experience in leading the design and implementing of data pipelines and data products
• Proficiency with GCP services for large-scale data processing and optimization
• Extensive experience with Apache Airflow, including DAG creation, triggers, and workflow optimization
• Knowledge of data partitioning, batch configuration, and performance tuning for terabyte-scale processing
• Strong Python ...

• Responsible for at-scale infrastructure design, build, and deployment with a focus on distributed systems.
• Building and maintaining architecture patterns for data processing, workflow definitions, and system-to-system integrations using Big Data and Cloud technologies.
• Evaluating and translating technical design to workable technical solutions/code and technical specifications at par with industry standards.
• Driving creation of re-usable artifacts.
• Establishing scalable, efficient, ...

• 3 years’ experience with Azure (Data Factory, SQL, Data Lake, Power BI, DevOps, Delta Lake, CosmosDB).
• 5 years’ experience with data engineering or backend/fullstack software development.
• Strong SQL skills.
• Python scripting proficiency.
• Experience with data transformation tools – Databricks and Spark.
• Data manipulation libraries (such as Pandas, NumPy, PySpark).
• Experience in structuring and modeling data in both relational and non-relational forms.
• Ability to elaborate and...

• Collaborating with Platform Engineers to set the infrastructure required to run MLOps processes efficiently
• Implementing ML workflows / automating CI/CD pipelines
• Automating model deployment and implementing model monitoring
• Collaborating with Platform Engineers to implement backup and disaster recovery processes for ML workflows, especially models and experiments
• Collaborating with stakeholders to understand the key challenges and inefficiencies of Machine Learning project lifecycles ...

• 2 years of experience developing and deploying machine learning systems into production
• 5 years of experience as a MLOps engineer, data engineer, or software developer
• Hands-on experience with cloud environments (AWS / Azure / GCP)
• Experience with tools such as Spark, PyTorch, TensorFlow, and MLFlow
• Knowledge of DevOps practices and tools, including Terraform
• Experience with Docker and Kubernetes
• Understanding of continuous integration and continuous deployment (CI/CD) practices, ...

• Design, build, and maintain data pipelines using Python
• Collaborate with an international team to develop scalable data solutions
• Conduct in-depth analysis and debugging of system bugs (Tier 2)
• Develop and maintain smart documentation for process consistency, including the creation and refinement of checklists and workflows
• Set up and configure new tenants, collaborating closely with team members to ensure smooth onboarding
• Write integration tests to ensure the quality and ...

• Minimum of 3-4 years as a data engineer, or in a relevant field
• Advanced experience in Python, particularly in delivering production-grade data pipelines and troubleshooting code-based bugs
• Structured approach to data insights
• Familiarity with cloud platforms (preferably Azure)
• Experience with Databricks, Snowflake, or similar data platforms
• Knowledge of relational databases, with proficiency in SQL
• Experience using Apache Spark
• Experience in creating and maintaining structured ...

• Own the development and deployment of AI-driven features, ensuring timely delivery and continuous iteration
• Lead technical design decisions, balancing scalability with rapid delivery
• Participate in client meetings to discuss progress, architecture, and system capabilities
• Build and improve LLM/NLP-based data extraction and analysis models
• Optimize system performance for real-time and large-scale applications
• Ensure statistical accuracy in lifecycle tracking and model evaluation
• ...

• 5 years of experience in AI/ML or a related field
• Hands-on experience with LLMs or NLP in production environments
• Solid Python skills (NumPy, Pandas, Scikit-learn, etc.)
• Strong communication skills – your input will help shape the roadmap
• Experience working with backend systems and data pipelines
• Experience with RAG
• Comfortable working in a bilingual environment (Polish B2, English B2)
• Bonus: Experience with Computer Vision

• Lead the design and development of new product features with a focus on scalability, performance, and maintainability.
• Balance technical trade-offs to meet both short-term deliverables and long-term goals.
• Work in a pull-request and code-review workflow, collaborating with other developers to maintain high code quality.
• Participate in client-facing meetings to provide technical insight and updates on progress.
• Translate product requirements into clear technical specifications.
• Make ...

• 6 years of hands-on experience in Python software development.
• Proven experience with at least one modern Python web framework (FastAPI preferred).
• Strong knowledge of relational databases (PostgreSQL preferred) and containerization (Docker).
• Experience deploying solutions in cloud environments (GCP or AWS).
• A mindset focused on clean architecture, performance, and long-term maintainability.
• Comfortable working in a bilingual setting (Polish B2 and English B2).
• Experience or ...

• Design and develop data architecture incorporating Snowflake, Immuta, Collibra, and cloud security.
• Implement and optimize ETL/ELT processes, manage raw data, automate workflows, and ensure high performance and reliability of data processing systems.
• Manage data quality and security, monitor quality, and implement metadata management strategies.
• Collaborate with analytics and business teams to identify user needs and deliver comprehensive solutions supporting analytics and reporting.
• ...

• Strong expertise in cloud technologies and the Snowflake ecosystem, particularly AWS, Data One Platform, Immuta, Collibra, and cloud security aspects.
• Minimum 5 years of experience in Python programming for building and maintaining data pipelines.
• Advanced knowledge of databases, including query optimization, relational schema design, and MPP using SQL.
• Expertise in data storage technologies, including files, relational databases, MPP, NoSQL, and various data types (structured, ...