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Engineering Team Lead — Full Stack (Remote, Contract)
Lead a cross-functional team to build and ship full-stack web apps using React/Vue, Python/Node.js, and AWS, while integrating third-party APIs and data pipelines.
Hiring: Senior/ Data Engineer
Designs and maintains scalable data pipelines, warehouses, and ETL processes for secure, real-time analytics and reporting, using tools like Informatica, Spark, and Python.
DevOps Platform Engineer
Design and operate scalable cloud platforms using AWS, Kubernetes, and Terraform to automate deployments and improve developer productivity, with AI-driven tools for infrastructure and incident analysis.
Junior Software Engineer – Data & Profile Integration (m/f/d) @ ALM Services Technology Group
Build and maintain backend services for collecting, normalising, and handling profile, entity, and content data using Python, SQL, and REST APIs.
Senior AWS Data Engineer @ DCG sp. z o.o.
Design and build AWS-based data ingestion pipelines, integrate SAP data, and maintain ETL processes using AWS Glue for reliable analytics.
Senior Data Engineer with Python @ Link Group
Design and maintain scalable data pipelines in Python, ingesting and transforming large datasets for a financial-data platform using cloud tools like AWS/GCP/Azure.
Data Engineer (Mid) @ Alterdata.io sp. z o.o.
Build and maintain cloud-based data pipelines and warehouses using Python, SQL, and tools like GCP, Azure, Snowflake, and dbt to support BI and AI systems.
Data Engineer (Hadoop) @ Verita HR
Builds and optimizes Hadoop/Spark-based ETL pipelines in Python for a large bank, handling raw and structured data to support analytics and BI teams.
Google AI Lead Architect
Lead the design and deployment of enterprise AI platforms on Google Cloud using Vertex AI and Gemini, optimizing for scalability, security, and cost while implementing RAG, agentic solutions, and MLOps pipelines.
Data Engineer - Poland, Poland
Build and maintain a cloud-based lakehouse data architecture for Aon’s Commercial Risk Solutions, designing scalable ETL pipelines and ensuring data quality for analytics.
Trading Analyst (Python)
Analyzes trading data, prototypes strategies, and builds tools for an options market-making desk using Python, SQL, and AI tools to improve trading decisions.
Python Developer - Data & Analytics Team - Options Market Making
Builds and maintains real-time data pipelines and analytics for a proprietary trading firm’s options market-making strategies, using Python, SQL, and modern data engineering tools.
Data Engineer ( DevOps Focused)
Build and maintain dbt data models in Snowflake to power analytics and AI across government ERP products, owning pipelines from ingestion to CI/CD deployment.
Principal Data Engineer (GCP)
Principal Data Engineer designs and optimizes cloud-native data platforms on GCP, building data lakes and warehouses with Terraform, Docker, dbt, SQL, and Python.
Senior Software Engineer
Build and scale AI systems that autonomously execute enterprise back-office workflows in logistics and manufacturing, integrating multi-agent orchestration, RAG, and document understanding.
Senior Software Engineer, Risk Platform & AI (London)
Build and scale real-time risk systems for a fintech company, collaborating with risk managers and quants while using AI-assisted tools to accelerate development.
Java Gen AI Engineer
Build production-ready Generative AI solutions in Java, integrating LLMs and agentic workflows with enterprise systems and cloud platforms.
Senior Data Scientist (Advanced Coding Focus)
Design and deploy machine learning models and data pipelines using Python, SQL, and frameworks like TensorFlow/PyTorch to extract insights and drive decisions in a banking environment.
Manager: AI Security Engineer
Leads the design and implementation of security controls for AI/ML/LLM platforms, including guardrails, policy engines, and AI firewalls, while embedding security into AI delivery pipelines.
AI Data Governance and Data Management
Leads enterprise-wide AI data governance, setting policies and standards to ensure trusted, secure, and compliant data for AI/ML use while embedding governance into data pipelines and analytics platforms.