Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Onsite Data Engineer in Abu Dhabi building and maintaining scalable ETL/ELT pipelines, data warehouses/lakes, and real-time batch infrastructure that power analytics and AI/ML products. Core stack: Python, SQL, Airflow/Spark, cloud data warehouses (Snowflake/BigQuery/Redshift), AWS/Azure/GCP, Docker/Kubernetes.
Senior Data Engineer who designs, builds, and operates batch and streaming data pipelines in a regulated healthcare setting, using Dagster, dbt, and BigQuery on GCP. Supports data science/ML workflows for precision cardiology and owns CI/CD, monitoring, and data quality for the platform.
Nine-month fully remote freelance Data Engineer role building and maintaining batch and streaming pipelines, dbt transformations, and data models on a software company's data platform. Core stack: SQL, an orchestrator (Airflow/Dagster/Prefect), dbt, and Git, with cloud/Spark/Kafka as pluses.
Senior Cloud Data Engineer who designs, builds, and operates the AWS cloud platform behind Nucleome Therapeutics' genomics data platform for drug discovery — scaling EKS/Kubernetes, Dagster data pipelines, Pulumi infrastructure-as-code, PostgreSQL/S3 data services, SageMaker, and observability as data volumes grow.
Data Engineer at Allume, a Melbourne climatetech company behind SolShare, hardware unlocking rooftop solar for apartment residents. You'll own data pipelines, models and quality for products like the SolCentre dashboard and SolOS energy platform, working with Python, SQL, PostgreSQL, InfluxDB/Timestream and AWS IoT.
Lead AI/Data Engineer at Dutch, a virtual veterinary care startup in Vancouver: build and operate production AI agents and LLM services (evals, prompt optimization, observability) plus own the data platform — Snowflake/dbt ELT pipelines, event tracking via Segment/Amplitude, and experimentation infrastructure.
Platform engineer at Sweden's central bank (Riksbanken) building and maintaining its in-house data and AI platforms on Kubernetes, S3 object storage and Python — mostly on-prem with some Azure. Day to day: automating CI/CD, running containerized services, improving stability, and driving platform adoption with business users.
Principal backend engineer on the Data Platform Team building the data backbone of LILA's AI Science Factory — real-time ingestion, large-scale analytical storage, APIs, and workflow orchestration for automated scientific experiments. Day to day: designing APIs and schemas (SQL/NoSQL/vector DBs), optimizing performance, and deploying on AWS and Kubernetes with Python, FastAPI, and React.
Lead Data Engineer at eDreams (online travel agency) in Barcelona, driving the data engineering strategy and delivering scalable data products for AI-driven Performance Marketing. Core stack includes Python, advanced SQL, dbt, and Dagster (Airflow a plus), with ETL/ELT, data modeling, and governance; hybrid work model.
Cloudbeds is hiring a hands-on Tech Lead Data Engineer & Data Architect to shape its Snowflake/dbt-based analytics platform — owning data modeling, pipelines, DataOps/CI-CD, governance, cost tuning, and AI-readiness for a fully remote senior Data Analytics & BI team.
Data engineer focused on NLP: deploys and maintains the local node of the national federated model-evaluation platform (PARTAGES), prepares and documents local medical datasets, runs model evaluation campaigns, and builds Dagster-orchestrated ETL pipelines for medical report text analysis, including pseudonymization and automated medical coding use cases.
Build and maintain scalable data pipelines and automated reporting for shop performance analysis and retail media partners at a fashion e-commerce company. Core stack includes SQL with BigQuery, dbt, orchestration tools (Dagster/Airflow), and web analytics (GA4), plus revenue attribution modeling.
Analytics Engineer at ABOUT YOU (a fashion e-commerce company) in Berlin, designing and maintaining scalable data pipelines, automated reporting, and revenue attribution models for shop performance and retail media. Core stack: SQL, dbt, BigQuery/Redshift, and orchestration tools like Dagster or Airflow.
Build and maintain scalable data pipelines, warehouses, and analytics tooling for a virtual behavioral healthcare provider, using Python, SQL, Snowflake, and Dagster/Airflow.
Designs and maintains data pipelines, warehouses, and analytics tooling for a virtual behavioral healthcare provider, using Python, SQL, Snowflake, and Kafka.
Senior data engineer joining a small, senior Data & Analytics team supporting a real estate investment firm's Snowflake platform fed by 40+ sources. Day to day: stabilize inherited pipelines, enforce data modeling standards, make reporting reliable, and automate manual work. Core stack: Snowflake, advanced SQL, dbt, Airflow/Dagster.
Early-career Data Engineer on Atlas Air's Data Platform and Engineering team, building and operating batch and streaming data pipelines, transformations, and data models on Databricks/Spark to support analytics, data science, and AI/ML at a global cargo airline.
Senior data engineer joining a small Data & Analytics team serving a real estate investment firm's client: inheriting and stabilizing an existing Snowflake platform with 40+ data sources, fixing unreliable pipelines, and automating manual reporting. Core stack is Snowflake, advanced SQL, dbt, and Airflow/Dagster.
Senior Data Platform Engineer on Scopely's Playgami team in Barcelona, building and operating the shared GCP/BigQuery data platform behind 15+ games and 60TB of daily data. Day-to-day work spans Terraform-based infrastructure, CI/CD, IAM and least-privilege access, Airflow/Cloud Composer reliability, monitoring, and cost optimization using Python and SQL.
Builds and ships Sber Bank's recommendation models to production: develops end-to-end ML and data-processing pipelines over petabyte-scale data with PySpark, writes efficient PyTorch training/inference code on GPU clusters, and optimizes high-load recommendation services. Stack: Python, PySpark, Airflow, Kubernetes, PyTorch, MLflow.
We couldn't check your fit for this role — add a CV to your profile to see it next time.