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Leads design and development of end-to-end data & AI platforms, sets technical standards, mentors teams, and supports presales for clients in Poland.
Build and maintain high-performance Databricks pipelines in Python and SQL to power AI and analytics for enterprise clients in finance, healthcare, and tech.
Senior data engineer builds and optimizes Databricks pipelines in Python/SQL to ingest, transform, and analyze data for AI and analytics on cloud platforms like Azure, AWS, and GCP.
Builds autonomous AI agents and multi-agent systems using Python, LangGraph, and LangChain to automate software development workflows and improve code quality.
Build and own BigQuery-based data pipelines and derived products (e.g., user segmentation) that feed marketing and CRM platforms like Salesforce for a global customer.
Senior data engineer leads complex data projects, mentors teams, and designs scalable architectures using Databricks, Snowflake, and dbt while providing pre-sales technical consulting.
Builds headless e-commerce sites and APIs using Next.js, React, GraphQL, and PHP/MySQL for B2B/B2C clients.
Leads a DevOps team to build and maintain cloud-based systems, sets CI/CD pipelines, and mentors engineers while staying hands-on with code.
Builds scalable backend services and cloud microservices for HR management solutions, focusing on Java Spring Boot and modern software architecture while collaborating with cross-functional teams.
Build and maintain scalable backend services using Java/Spring Boot, REST APIs, and cloud-native systems, with occasional exposure to AI-driven features.
Builds Python backend services (Flask/FastAPI) and occasionally contributes to Angular frontends in a UK-based, remote-first team.
Build and maintain data pipelines and analytics platforms in Python and SQL on Google Cloud to power data-driven marketing campaigns for global brands.
Build and optimize high-performance data platforms for financial clients using ClickHouse, Python, and cloud-native tools; design scalable pipelines and time-series solutions.
Designs and maintains scalable GCP data pipelines and ETL processes using SQL and Python to ensure reliable, high-quality data across markets.
Build and maintain scalable data pipelines on GCP using SQL and Python, ensuring data quality and reliability for analytics and reporting.
Designs, builds, and maintains Java backend services with Spring Boot, delivering RESTful APIs and scalable solutions in an office-based role.
Design and build cloud-native data pipelines and platforms for clients, using Snowflake/Databricks and infrastructure-as-code tools like Terraform to enable scalable analytics and transformation.
Design and build modern data platforms using Microsoft Fabric (Lakehouse, OneLake, Data Factory) and Azure DevOps, delivering analytics and AI solutions for enterprise clients in Australia.
Designs and builds scalable data platforms using Microsoft Fabric, Azure Lakehouse, Python, SQL, and Spark, delivering robust pipelines and analytics solutions for client projects.
Senior Associate designs and builds cloud-based data pipelines and ETL systems, focusing on scalable ingestion, storage, and analytics while collaborating with cross-functional teams.
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