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Build and maintain Samsara’s petabyte-scale data lake and distributed compute platform, designing ingestion pipelines, lakehouse infrastructure, and internal tooling to power analytics and AI across the company.
Software Engineer / Knaresborough, North Yorkshire, Hybrid / £35,000 - £45,000 Per Annum D.O.E. Are you an experienced Software Engineer looking to join a leader in geospatial services for the Electric Utilities…
Senior Analytics Engineer designing, building, and scaling the PlayStation Partners Platform analytics layer using dbt, advanced SQL, cloud data warehouses, and BI tools to deliver trusted, well-governed data products.
Build and maintain analytical data products and ETL/ELT pipelines supporting investment workflows using Python, dbt, BigQuery, and Power BI on Google Cloud Platform.
Confirmed Data Engineer at a Paris-based consulting firm, designing and industrializing cloud data platforms and robust data pipelines using Spark, PySpark, SQL, Airflow, Databricks, and cloud providers (Azure/AWS/GCP), while mentoring junior engineers.
This Senior Data Engineer role focuses on designing and delivering AI-ready data pipelines for production-grade RAG and vector search systems. The position involves building batch and streaming workflows, ensuring data quality and governance, and collaborating closely with AI engineers to support client engagements.
The Principal Scientist will lead AI/ML and computational projects across early-stage ventures, overseeing method development, platform design, and LLM-based agentic workflows. The role involves managing cross-functional teams and driving technical strategy to accelerate scientific discovery in human health and sustainability.
As the first dedicated data engineer, you will architect and own the full data stack, including ingestion, transformation, and warehouse infrastructure for a real-money gaming platform. You will work with Python, SQL, dbt, and orchestration tools to build reliable pipelines that support quantitative strategy and production systems.
This role involves designing and maintaining scalable cloud-based data pipelines and ETL/ELT frameworks using Snowflake, DBT, AWS, Python, and SQL. The engineer will build data models, implement quality controls, and ensure data governance for enterprise-level solutions.
We need this role because reliable analytics depend on well‑designed, well‑tested data foundations. We turn raw, complex data into structured, business‑ready datasets that teams can trust every day. This role exists to…
The Data Engineering Tools Developer builds internal Python-based frameworks, Streamlit applications, and reusable tools to improve the productivity and reliability of data pipelines. The role involves collaborating with data engineers and architects to standardize development, monitoring, and governance practices within a financial services environment.
The Data Platform Engineer will design, build, and maintain a declarative data platform to support ingestion, transformation, and consumption across the company. The role involves working with cloud data warehouses, orchestration tools, and infrastructure-as-code to ensure scalable and reliable data systems.
Data Engineer building scalable batch and streaming pipelines, data products, and AI-facing integration layers (e.g., MCP servers) for an internal Agentic AI ecosystem using Python, SQL, dbt, orchestration tools, and cloud data platforms.
Build and maintain data pipelines and 3D geospatial tools for electricity network mapping using Python, C#, and .NET in a hybrid role.
In a few words Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura. Position: Data Engineer MLE Location: Madrid (Chamberí area).…
Location: Ghent, Belgium. ONTOFORCE helps life sciences organizations accelerate research and drug development by unlocking hidden insights from complex data. Our flagship platform, DISQOVER, is a life sciences data…
Develops and scales quantitative data products for investment teams, bridging financial domain expertise with cloud-native data engineering (BigQuery, dbt) and analytics engineering to modernize reporting, AI-ready datasets, and visualization tools like Power BI and Streamlit.
Data Science Student at Canadian Natural in Calgary, building forecasting models, ML pipelines, and interactive dashboards (Plotly Dash, Power BI) using data orchestration tools like Prefect to support DCS and control system asset reliability.
Build and maintain scalable data pipelines and ML systems for clinical trials, R&D, and drug manufacturing at a global pharma company’s applied AI team.
Builds and maintains data pipelines for ingesting, parsing, and structuring unstructured financial data (PDFs, HTML, XBRL) while integrating LLM-powered AI systems for retrieval and analytics in a FinTech context.
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