Tech jobs
Job listings
Tech Lead, Data Engineering – AWS & GenAI Platform
Tech Lead designs and builds AWS-based data platforms with GenAI-enabled pipelines, guiding a remote team of data engineers while collaborating with data scientists and product teams.
Senior AI & Data Engineer — Snowflake + GenAI Platform
Design and build a Snowflake-based data platform to power GenAI and enterprise AI workloads, including scalable pipelines and analytics.
Snowflake Data Engineer - Cloud & AI Solutions (Hybrid)
Design and build Snowflake data pipelines, migrate on-prem warehouses to Snowflake, and help implement AI/ML solutions in a cloud environment.
Senior Data Engineer (AI/LLM) @ DS STREAM
Build cloud-native data pipelines and architectures that power Generative AI systems, LLMs, and RAG workflows using Databricks, Spark, Azure, and GCP.
Senior Data Engineer (with GCP experience) - ICH Europe
Design and build scalable data pipelines on GCP (BigQuery, Cloud Composer) to feed AI/ML models, using Python, SQL, dbt and Data Vault 2.0.
Senior Data Engineer (with GCP experience) - ICH Europe
Build and maintain scalable data pipelines on GCP for AI initiatives, using Python, SQL, dbt, and BigQuery to enable large-scale analytics and ML workloads.
Senior AI Data Engineer (AI/Data Platform, Cloud Technologies, Python)
Design and build scalable cloud-native AI data platforms and pipelines using Python, Spark, and Kafka to power machine learning and GenAI initiatives for enterprise clients.
Senior AI/Data Engineer (Snowflake, GenAI)
Build and operate Snowflake-based data platforms that power GenAI and advanced AI use cases at enterprise scale, integrating vector search, RAG, and agent workflows.
Data Engineering Consultant (Cloud & AI) - ICH Europe
Design and build scalable cloud data pipelines and ETL workflows using PySpark, SQL, and cloud platforms (AWS/Azure/GCP) to support AI-driven analytics for global enterprise clients.
Junior Mid-Level Machine Learning Data Engineer
Build and maintain data pipelines and infrastructure for AI solutions, working with Spark, Python, and LLMs to support machine learning models and predictive analytics.
Data Engineer - Junior/Mid/Senior - ICH Europe
Build and optimize scalable data pipelines and AI solutions using cloud platforms, SQL, ETL tools, and Python/R for European clients.
Data Engineer - Junior/Mid/Senior - ICH Europe
Build and optimize scalable data pipelines and AI solutions using cloud platforms, ETL tools, and SQL for enterprise clients across Europe.
Senior Data Engineer (m/f/d)
Senior Data Engineer builds and optimizes cloud-based ETL pipelines and data models for sales analytics at a large bank, using GCP, Python, SQL, and Gen/Agentic AI tools.
Senior AI/Data Engineer (Snowflake, GenAI)
Build and operate Snowflake-based data platforms that power GenAI and advanced AI use cases at enterprise scale, integrating vector search, RAG, and agent workflows.
Data Engineering Consultant - QuantumBlack, AI by McKinsey
Build scalable data pipelines and infrastructure for AI systems using Python, SQL, Spark, and cloud platforms to power LLMs, retrieval systems, and agentic architectures.
Senior Data Engineer (LLM) @ Vecten
Build and maintain data platforms, ETL pipelines, and Gen-AI integrations for a Forbes 500 finance client using Python, Snowflake, AWS, and vector databases.
Data Engineer / Data Scientist (AI & LLM Solutions) Expert
Builds scalable data pipelines and AI/ML models, including LLM-based solutions, to detect financial crime for a UK banking client using Python, PySpark, and Big Data tools.
Senior Data Engineer / Data Scientist (AI & LLM Solutions)
Build scalable data pipelines and AI/ML models for anti-financial crime at a UK bank, using Python, LLM frameworks, and distributed computing on GCP.
Data Engineer - Insurance Analytics & GenAI (Remote)
Builds data pipelines and dashboards for insurance analytics, integrating GenAI to support underwriting and claims decisions using SQL, Python, and Power BI.
Data Engineer - Agentic AI & Enterprise Platforms
Build enterprise-grade AI solutions using data pipelines, LLMs, and agent-based systems on GCP/AWS/Azure to deliver scalable, data-driven AI for clients.