101 to 125 of 514 Remote/Hybrid Databricks Jobs

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. Benefits Health and lifestyle perks including private healthcare for you and your family 25 days annual leave (plus a bonus half ...

enterprise data architecture.• Knowledge of public cloud platforms such as AWS, Azure, or GCP, and exposure to cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Microsoft Fabric. Relevant certifications are a plus, although not a requirement.• Strong understanding of analytics workflows, data integration, data governance, automation ...

ideas clearly and thoughtfully Nice to have Azure data engineering certifications (or willingness to gain them) Experience with tools such as Airflow, dbt, Spark, Databricks, CI/CD Workshop facilitation or structured learning delivery experience What Success Looks Like Learners trust you as a credible, supportive data engineering professional Learners ...

Cloud, Revenue Cloud, CPQ) Customer Data Platforms (Treasure Data) and Customer Engagement Platforms Informatica Customer 360, Business 360 and Data Quality MuleSoft, SAP and Databricks Master Data Management (MDM) and Pricing Solutions (Pricefx) We Are RS At RS, we are making amazing happen for a better world. As a global ...

data architecture and data engineering principles Ideally, experience using modern cloud-based analytics and reporting platforms such as Microsoft Fabric, Azure Data Services, Databricks, Snowflake, or similar technologies, alongside a demonstrable interest in automation, emerging technologies, and data best practice The Air PFCC Data Function Team: A close‐knit team ...

technical recommendations in clear business terms. Strong architecture judgement across modern data platforms, integration patterns and analytical systems. Depth in platforms such as Snowflake, Databricks or Microsoft Fabric/Azure, with the ability to assess alternatives against business requirements. A grounding in data engineering, including ingestion, transformation, data modelling ...

DevOps Engineers, and Solution Architects who help our clients deliver and operate cloud data platforms on AWS, Azure and GCP, including technologies such as Databricks and Snowflake. As a DataOps Engineer, you will partner closely with engineering and delivery teams to standardise ways of working, improve data application reliability ...

MLOps/LLMOps (MLflow, CI/CD, monitoring, deployment patterns such as blue-green and canary) Cloud and data platforms (Azure, AWS or GCP; Databricks, Snowflake); Python, SQL, PySpark Experience leading proposals, solution architecture and commercial estimation in a consulting or services environment Confident communicator able to explain complex ...

expectations on data and AI. Experience with using data platforms, programming languages and AI tools, such as Alteryx, Knime, Power BI, Microsoft Fabric, Tableau, Databricks, Snowflake, Microsoft Purview, Collibra, Informatica, Claude, Chat GPT, Microsoft Copilot, Python and SQL among others, to deliver practical and impactful analytics assurances and solutions. Experience ...

Analytics delivery. Do Your Talents Include the Following? Deep technical expertise within one or more major cloud data ecosystems, including Microsoft Azure and Fabric, Databricks, AWS and Snowflake, or Google Cloud Platform and BigQuery. Proven experience architecting and implementing enterprise-scale data platforms within client environments. Strong knowledge of modern ...

modelling) in a regulated enterprise setting. Strong understanding of cloud data platforms and their application in analytics and AI (e.g., AWS, Azure, GCP, Snowflake, Databricks), along with data management, governance, quality, and security practices. Sound knowledge of the insurance value chain: policy and claims data, underwriting and pricing processes, distribution ...

testing frameworks or CI/CD pipelines would be beneficial.• Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous.• Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real ...

testing frameworks or CI/CD pipelines would be beneficial. • Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous. • Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real ...

testing frameworks or CI/CD pipelines would be beneficial. • Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous. • Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real ...

testing frameworks or CI/CD pipelines would be beneficial. • Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous. • Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real ...

testing frameworks or CI/CD pipelines would be beneficial. • Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous. • Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real ...

regulatory requirements Architecting and delivering modern data platforms leveraging Azure technologies including Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Designing and developing robust ETL/ELT frameworks, data pipelines, Lakehouse architectures and real-time data solutions, ensuring engineering excellence … Deep expertise in the Microsoft Azure Data Platform, including services such as Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Extensive experience designing and implementing enterprise-scale data architectures, including data modelling, ETL/ELT frameworks, Lakehouse solutions, batch ...

regulatory requirements Architecting and delivering modern data platforms leveraging Azure technologies including Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Designing and developing robust ETL/ELT frameworks, data pipelines, Lakehouse architectures and real-time data solutions, ensuring engineering excellence … Deep expertise in the Microsoft Azure Data Platform, including services such as Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Extensive experience designing and implementing enterprise-scale data architectures, including data modelling, ETL/ELT frameworks, Lakehouse solutions, batch ...

modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS.## **The Role You Are Considering**As a Data Engineer, you will be an integral part of our team dedicated to building … Open Source and cloud tools.In addition to these core skills, you should have specialist experience in one or more of the following technologies**Azure Databricks*** Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other ...

Databricks Consultant/Data Engineer A technology consultancy client of ours is investing heavily in a dedicated Databricks capability. They need an experienced Databricks contractor to join client-facing delivery, work on high-impact programmes and help set the standard for a new practice. The Role You’ll work directly … with clients to design, build and optimise modern data platforms on Databricks and cloud-native technologies. This goes beyond standard engineering: you’ll influence delivery standards and contribute to reusable frameworks and accelerators. What You’ll Be Doing Building production-grade data pipelines with Databricks, PySpark and SQL Developing Lakehouse ...

What we're looking for: 2–4 years' experience in data engineering Strong SQL, Python and DBT skills Experience with AWS and/or Databricks Experience building ETL/ELT pipelines and data warehouses Knowledge of AWS services such as S3, Lambda and Glue Familiarity with Git and infrastructure ...

substantial leadership experience, and a proven track record of designing and operating enterprise-scale data platforms. Strong experience across cloud data architecture, Snowflake/Databricks/BigQuery, SQL, Python, data modelling and modern data engineering practices is essential. Experience across AI/ML, knowledge graphs, unstructured data, SaaS or customer ...

model evaluation, monitoring and risk management. Deep hands-on machine learning experience is not required. Exposure to tools such as Microsoft Purview, Collibra, Alation, Databricks, Microsoft Fabric, Azure ML or Power BI governance would also be useful. Experience within Defence, Central Government, hydrography, sonar, geospatial/mapping or offshore industries ...

SaaS companies You are degree educated, Computer Science or similar tech or numerate discipline You're collaborative with great communication skills Nice to haves: Databricks, Kafka, Data Governance (GRC) What's in it for you: As a Data Engineer you will earn a competitive package: Up to £95k salary Enhanced ...

help the team do better and be better, again and again Write maintainable, testable code and enjoy providing code reviews Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance Be strong in Python, SQL, and PySpark ...