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We are seeking a Lead Full-Stack Engineer (Python Data) to build scalable, data-centric products that support global consulting and advisory services. You will lead work across software engineering, data platforms and…
GoMaterials is hiring a Senior Software Engineer to own the production backend services and internal data/ML platform behind its B2B marketplace for landscaping materials. Day to day, this means operating Azure cloud infrastructure, building ETL/ELT data pipelines and a lakehouse layer, and productionizing ML and operations-research models using Python, SQL, Terraform, and CI/CD.
Senior backend engineer building GoodData.AI's cloud analytics platform — specifically a fast, distributed query engine in Kotlin, plus SQL parsing/transpiling from their internal MAQL query language, API design, and test-driven development. Core tech: Kotlin, Python, Kubernetes, Apache Calcite, DuckDB, Pandas, Polars.
Senior backend engineer building an AI-native analytics platform in Python, Kotlin, and Rust, deploying on Kubernetes with Apache Arrow and DuckDB for scalable data processing.
A data scientist on Zego's telematics team turns raw phone sensor data (GPS, accelerometer) into driving-behaviour features and algorithms that feed behaviour-based insurance pricing. Day to day: building end-to-end pipelines and ML models in Python and SQL, running experiments, and collaborating with engineers and product managers.
Sets technical direction for Apple's ML data platform, owning the data layer behind large-scale model training — ingestion, versioning, lineage, governance, and high-throughput data loading into GPU training fleets. Core stack: Python plus Rust/C++/Go, Arrow/Parquet/Iceberg-style formats, and ML frameworks like PyTorch.
Builds scalable data pipelines and hybrid on-prem/AWS data infrastructure feeding a 5-person ML team at Ukraine's state-owned Oschadbank. Core stack: Python (Airflow, Pandas/Polars), AWS data services (S3, Redshift, Glue, EMR, Lambda), Terraform, and Airbyte. Remote work offered.
Objetivo do cargo Atuar na construção de inteligência de dados para o negócio, por meio de análises, dashboards e indicadores que apoiem a tomada de decisões comerciais e operacionais, contribuindo para: Identificação…
Lazard is one of the world’s preeminent financial advisory and asset management firms. Our people and culture make the difference . While global in presence and reach, ours is a close, collaborative community of just…
This role involves building data quality pipelines and conducting ML experiments to improve robot control models within Sber's Robotics Center. The engineer will analyze multimodal datasets, evaluate model performance, and translate data insights into actionable improvements for model training and data collection.
Software Engineer (Python) Business Area: Public Markets Technology Location: London Job title: Software Engineer (Python) Who we’re looking for Public Markets is transforming how technology, data and AI create…
Principal Software Engineer (Python) Business Area: Public Markets Technology Location: London Job title: Principal Software Engineer (Python) Who we’re looking for Public Markets is transforming how technology, data…
Change the way the world travels Be part of the GetYourGuide journey and connect people with unforgettable travel experiences worldwide. Since 2009, millions of travelers have booked unique activities with us in over…
Senior Data Engineer at Profitroom to build and own the company's cloud data platform — incremental ELT pipelines, Delta Lakehouse, and data governance — on Databricks, Python/PySpark, GCP/BigQuery, Airflow/Dagster, Docker and Terraform. B2B contract, remote-first collaboration from Poland.
About Zego 🚀 At Zego, we're on a mission to do the good thing, not the insurance thing. Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time,…
Builds and maintains trading systems and research infrastructure for a quantitative hedge fund, using Python, C/C++, and numerical libraries to automate alpha estimation, backtesting, and portfolio construction.
Build and own the AI-powered ingestion & normalization pipeline that turns messy Excel/CSV, lab-instrument, and internal data into clean canonical datasets feeding Mithrl's AI Co-Scientist. Core work is Python data engineering (Pandas/Polars/PyArrow), ETL/ELT pipelines, and LLM-driven cleaning, on-site in San Francisco.
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