51 to 75 of 706 Remote/Hybrid Databricks Jobs

data processing languages (Python, SQL, PySpark) and an open-minded approach to tech stacks—ranging from SSIS and stored procedures to Airflow, Spark, Databricks, or Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) alongside a curiosity to learn and adapt to others. ...

focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.We ...

various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) and curiosity to learn others. Bridging Data & AI: Understanding ...

with London Market experience. Strong knowledge of insurance data models, including policy, claims, and risk-related structures. Expertise in Azure Cloud Services (Data Factory, Databricks, Key Vault, Azure SQL) and data warehousing methodologies (Kimball, Inmon). Proficiency in T-SQL for data transformation and summarisation, with Python skills for building ...

Technical Skills: Expertise in data modeling tools and techniques (e.g., ER/Studio, Erwin). Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka ...

financial reporting.Technical Skills:Expertise in data modeling tools and techniques (e.g., ER/Studio, Erwin).Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks).Experience with data integration (ETL/ELT, APIs).Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus.Domain Knowledge ...

reporting. Technical Skills: Expertise in data modeling tools and techniques (e.g., ER/Studio, Erwin).Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks).Experience with data integration (ETL/ELT, APIs).Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus. Domain ...

GCP. We're interested to hear from Data Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Databricks, Snowflake and more. Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access ...

prototyping (Streamlit, Flask, Django, Figma). Experience working with geospatial data. Experience delivering within the UK public sector, Defence or National Security. Exposure to Databricks and/or Snowflake. A relevant degree (Computer Science, Data Science, AI/ML or related) or equivalent practical experience. Security Clearance Requirements ...

GCP. We’re interested to hear from Data Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Databricks, Snowflake and more. Additional Information Assessment process ⚖️ Quick call with one of our Tech Recruiters – to discuss your application, the role and PA Round 1: Either ...

GCP. We're interested to hear from Data Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Databricks, Snowflake and more. Additional information Assessment process Quick call with one of our Tech Recruiters – to discuss your application, the role and PA Round 1: Either ...

GCP. We're interested to hear from Data Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Databricks, Snowflake and more. Additional Information Assessment process ⚖️ Please note that the interview stages may be subject to change based on the specific requirements of the role. ...

GCP. We're interested to hear from Data Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Databricks, Snowflake and more. Additional Information Assessment process ⚖️ Please note that the interview stages may be subject to change based on the specific requirements of the role. ...

GCP. We're interested to hear from Data Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Databricks, Snowflake and more. Additional InformationAssessment process Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick ...

GCP. We're interested to hear from Data Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Databricks, Snowflake and more. Additional InformationAssessment process ️ Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick ...

GCP. We're interested to hear from Data Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Databricks, Snowflake and more. Additional InformationAssessment process ️ Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick ...

GCP. We're interested to hear from Data Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Databricks, Snowflake and more. Additional InformationAssessment process ️ Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick ...

design principles, defining solution patterns while following architecture methodologies. Experience and/or certifications in Cloud data platform solutions (e.g. AWS, Azure, GCP, Snowflake, Databricks) to design and deliver enterprise data solutions including toolset selection, effort and cost estimation.Broad knowledge across Cloud architecture, DevOps, Networking, Machine Learning, and SecurityExperience ...

looking for a Senior Data Engineer - Tech Lead (Databricks, PySpark) to join our team in London, UK, in a hybrid working mode. In this role, you will lead the design, development and optimization of scalable cloud-native data architectures, focusing on Azure Databricks, PySpark and Lakehouse principles. You will work … practices and enable next-generation analytics and AI-driven solutions. Responsibilities Lead the architecture, design and build of large-scale data platforms using Azure Databricks and modern cloud technologies Implement and optimize ETL workflows and streaming pipelines with PySpark and Delta Live Tables following Lakehouse principles Enhance performance, manage cloud ...

related data-intensive field. Proficient with one or more programming languages (Python, Scala). Hands-on experience with modern lakehouse technologies (e.g. Databricks, Spark, Kafka). Comfortable building pragmatic ETL/ELT workflows in AWS using orchestration frameworks or cloud-native tools. DataOps mentality. Understanding of how to apply automation ...

DevOps tools. Background in business or financial data analysis is a plus. Consulting mindset: proactive, strategic, and impact‐oriented. Nice to Have Experience with Databricks, Azure Data Factory, or Python. Previous experience in BI service delivery or engagement management. Why Join Us? Dedicated time for learning, paid certifications: We encourage ...

governance, master data and enterprise data management concepts. Experience working in Agile delivery environments. Exposure to data catalogue or metadata management tools. Experience using Databricks for querying, analysing and transforming data within cloud-based analytics environments.Interested? Apply today for a confidential discussion with our Talent Acquisition team#UST ...

guidance on deploying infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop. Good understanding of modern data system design architectures (Data Warehouse, Data Lakes, Data Meshes). Ability to create data pipelines in a cloud environment and integrate ...

working with stakeholders to understand needs and present findings. ·High attention to detail and strong data quality mindset. Desirable Skills & Attributes: ·Experience working with Databricks for data transformation or analytics workflows. ·Experience developing Salesforce reports and dashboards. ·Foundational knowledge of Python for data manipulation, automation, or analysis. ·Experience with cloud ...

Engineer within complex technical environments. Strong knowledge of data management principles, including data modelling, integration, quality, and governance. Strong commercial experience with Snowflake and Databricks essential. Experience assessing existing data management systems and recommending improvements. Experience with modern data architectures, including cloud-based and distributed systems. Strong proficiency ...