May (And ideally start the week commencing the 26th of May) Desirable Skills/Experience: 1. GIS experience and proficiency with geospatial libraries (e.g., GeoPandas, QGIS, PostGIS). 2. Familiarity with Databricks and distributed computing frameworks (e.g. Spark). 3. Exposure to CI/CD pipelines and workflow automation. 4. More ❯
Desirable Skills/Experience Although not essential, the following skills are desired by the client: 1. GIS experience and proficiency with geospatial libraries (e.g., GeoPandas, QGIS, PostGIS). 2. Familiarity with Databricks and distributed computing frameworks (e.g. Spark). 3. Exposure to CI/CD pipelines and workflow automation. 4. More ❯
for time series, spatial, and network data. Excellent programming skills in common languages (e.g., Python) and packages used by the energy modeling field (e.g., geopandas, numpy, networkx, pandas), use of software best practices (e.g., Git), and familiarity with high-performance computing environments. Experience with extracting, transforming, and loading processes and More ❯
typically at a Senior Analyst or Analyst level role or external equivalent Experience in the following Technical Stack: Data Pipeline Stack: Python 3, pandas, GeoPandas, boto3, Pydantic, Data Version Control (DVC) 2, Core API Stack: Python 3, Django 4, Infrastructure: AWS, EKS, Docker, ADO (for CI/CD pipelines, git More ❯
science, or software engineering roles • Bachelor’s degree or equivalent in Computer Science, Data Science, or related technical field • Strong Python programming (especially pandas, GeoPandas, Pydantic, boto3) • Experience with geospatial data and data engineering for ML applications • Cloud proficiency (preferably AWS) and experience with containerized environments (Docker, EKS) • Solid Git … to collaborate with cross-functional teams • Experience working with financial services or asset management domains preferred Technical Stack: Data Pipeline Stack: Python 3, pandas, GeoPandas, boto3, Pydantic, Data Version Control (DVC) 2 Core API Stack: Python 3, Django 4 Infrastructure: AWS, EKS, Docker, ADO (for CI/CD pipelines, git More ❯
science, or software engineering roles • Bachelor’s degree or equivalent in Computer Science, Data Science, or related technical field • Strong Python programming (especially pandas, GeoPandas, Pydantic, boto3) • Experience with geospatial data and data engineering for ML applications • Cloud proficiency (preferably AWS) and experience with containerized environments (Docker, EKS) • Solid Git … to collaborate with cross-functional teams • Experience working with financial services or asset management domains preferred Technical Stack: Data Pipeline Stack: Python 3, pandas, GeoPandas, boto3, Pydantic, Data Version Control (DVC) 2 Core API Stack: Python 3, Django 4 Infrastructure: AWS, EKS, Docker, ADO (for CI/CD pipelines, git More ❯
Geospatial Data Engineer - Contract Hybrid - Bath (1 day a week on-site) £400-£450 per day Deemed Outside IR35 (pending QDOS assessment) This Contract Geospatial Data role is a fantastic opportunity to work on cutting edge data problems at a More ❯
Geospatial Data Engineer - Contract Hybrid - Bath (1 day a week on-site) £400-£450 per day Deemed Outside IR35 (pending QDOS assessment) This Contract Geospatial Data role is a fantastic opportunity to work on cutting edge data problems at a More ❯
