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We're building the future of mobility. At hlpy, we're building much more than a company. We're building the technology platform that is transforming how mobility services are delivered across Europe. Every…
Build and own the data infrastructure and internal tooling at an AI lab in San Francisco — pipelines, ingestion, storage, transformations, and access controls supporting engineering, analytics, and business teams. Core stack includes Kafka, ClickHouse, orchestrators like Dagster/Airflow, and SQL.
Lead a team of data scientists and engineers to design, build, and maintain large-scale data pipelines and infrastructure for real-time pricing optimization, using Python, SQL, cloud platforms (GCP/AWS/Azure), Airflow (or Prefect/Dagster), Docker and related tools.
Designs and maintains data pipelines, warehouses, and analytics tooling for a virtual behavioral healthcare provider, using Python, SQL, Snowflake, and Kafka.
Build and maintain scalable data pipelines, warehouses, and analytics tooling for a virtual behavioral healthcare provider, using Python, SQL, Snowflake, and Dagster/Airflow.
Software engineer on the Core Data team at Aquatic Capital, a quantitative investment manager. Day to day you build and maintain market data feed handlers for proprietary equities protocols (ITCH, GTP, PITCH) and quant-ready data archives in C++ and Python, supporting research and trading as the firm expands into new global markets.
Design, develop, and maintain ETL/ELT pipelines Build and optimize data transformations to support analytics and reporting needs Develop and maintain data models, datasets, and integration solutions Ensure data…
Senior Data Engineer building and operating a Snowflake-centered cloud data platform for an entertainment/motion-picture technology client (IMAX): developing ETL/ELT pipelines, data models, lineage documentation, and orchestration with SQL, Python, and tools like Airflow, Dagster, and dbt. Work-from-home or remote option is offered.
Senior backend engineer owning NeuralFrame's medical data pipeline: pulling data from hospital systems and transforming it for analytics and research used by hospitals, cancer registries, and researchers. Split between a Rust data-acquisition layer and async Python services, with PostgreSQL/MongoDB, Dagster, Terraform, and AWS.
Atrium, an AI-focused consulting firm and Salesforce/Snowflake partner, is hiring a Snowflake Data Engineering Architect who splits time roughly 50/50 between pre-sales (solution shaping, POCs, demos, proposals) and billable client delivery, designing scalable Snowflake data architectures. Core tech: Snowflake, SQL, Python, dbt, Fivetran, and AWS/Azure/GCP.
Senior Data Engineer at BigData Republic, a Dutch data/ML consultancy: ~90% of your time is spent advising enterprise clients and building production-grade data pipelines, platforms and infrastructure, with the rest for own initiatives. Core stack: Python, AWS/GCP/Azure, Databricks/Snowflake/BigQuery, Airflow/Dagster, Terraform and CI/CD; hybrid work from Utrecht.
Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand…
Senior/staff data engineer who owns the data platform at Revv, an auto-repair/ADAS technology company: mapping data needs, integrating two companies' clouds (AWS and Azure) into Snowflake, building trusted dbt models, and establishing governance. Core stack: Snowflake, dbt, Python, SQL, Azure, Fivetran.
Builds and maintains scalable data pipelines and a centralized cloud data platform at Fanatics, using orchestration tools (Airflow, Dagster), Python (Pandas/PySpark), SQL, and AWS, with ETL/ELT data modeling, monitoring, BI dashboards (Tableau/QuickSight/Looker), and self-service/AI-powered data tools for business users.
Senior engineer owning the data ingestion layer of a young Parisian SaaS startup that helps large shippers cut transport costs and CO2 emissions: building reliable, observable pipelines (TypeScript/Bun, DBOS, PostgreSQL) and bringing AI models into production on Google Cloud/Vertex AI. Remote within France; €80k–110k plus BSPCE equity.
Lead Data Engineer owning the end-to-end data chain at Groupe Santiane (an insurance broker in the Kereis group): turning business needs into reliable models, pipelines and tables, enforcing data quality and KPI definitions, mentoring data engineers, and delivering the Olympus data product's dashboards. Core stack: SQL, Python, and orchestration/ETL tools like Dataiku, dbt, Airflow or Dagster.
Senior Data Engineer at DoorLoop (property management software) in Tel Aviv, co-owning the data platform as its second engineer: designing dbt models and ingestion on Snowflake, owning reliability and metric definitions with business stakeholders, and building AI-first data products like an AI data assistant and internal dashboards.
System Architect at Fetcherr Labs owning the end-to-end technical foundation of a new agentic mid-market product: standing up a greenfield Azure, Kubernetes-native platform with IaC, GitOps and CI/CD, writing core Python code, leading engineers by example, building an AI-agent-driven SDLC, and designing integrations into host platforms.
Senior Data Engineer embedded in Roblox's Growth Org, building batch and streaming pipelines and analysis-ready datasets that power marketing measurement (MMM, attribution, incrementality) and end-to-end funnel analytics. Core stack: SQL, Python/PySpark or Scala, Spark/Kafka/Flink, Airflow/Dagster, and major cloud warehouses/lakehouses, onsite in San Mateo Tue-Thu.
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
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