101 to 125 of 551 Remote/Hybrid Databricks Jobs

fast-paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging technologies such as: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple … leveraging AI-assisted workflows to optimise task efficiency. Strong communication and interpersonal skills. Preferred Qualifications: Certifications in Azure, AWS, or GCP. Certifications in Databricks, Snowflake or similar technologies. Experience in the leading large scale data engineering projects. Excellent understanding of data architecture involving data mesh, data lake, data warehouse ...

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 ...

Role: Databricks Lead Engineer Location: London (Hybrid/On-site requirement: 3 days per week in London ) Rate: Up to £575/day (Inside IR35) Contract Length: 6 months with potential extension Start Date: ASAP Role Summary We are seeking an experienced Databricks Lead Engineer to drive the design, development … optimization of enterprise-scale data platforms. The ideal candidate will have strong technical leadership capabilities, deep expertise in the Databricks Lakehouse platform, and a proven track record of delivering robust data pipelines and architecture in complex environments. Key Responsibilities Lead the design and implementation of scalable data architectures ...

Information Databricks Platform Location: UK Role Type: Permanent - Full Time Job Location: Hybrid Working - minimum of 2 days a week in our London office ABOUT SAGACITY Sagacity are the data intelligencepeople. Our proposition isbusinesses increase customerengagement and make moreinto the data businesses alreadyhave, and combine it with our data,insight … theneverything else will follow. Clever with data... combining data,insight, and action to drive value Responsibilities Principal responsibilities will involve: Provision, configure and operate Databricks workspaces, clusters, SQL warehouses and pools across our cloud environment Implement and maintain Unity Catalog: catalogs, schemas, external locations, row/column-level security, lineage ...

native hosting, APIs and containerised workloads Partnering with Data teams on cloud ingestion, storage, analytics and BI infrastructure, including Azure Fabric and/or Databricks Building automation with PowerShell/Python to cut manual operational overhead Implementing monitoring, logging, backup, DR and resilience practices Embedding security-by-design and working ...

data science, analytics or business intelligence (typically 10+ years) Advanced knowledge of Python and SQL Experience working with cloud platforms such as Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine learning Experience leading ...

Azure cloud services (Azure Data Factory, Azure Lake Gen 2, Azure Databases, Azure Data Fabric, API Gateway management, Azure Functions) Well versed with Azure Databricks Strong SQL skills with RDBMS or NoSQL databases Experience with developing APIs using FastAPI or similar frameworks in Python Familiarity with the DevOps lifecycle ...

such as Azure Data Factory, Azure Lake Gen 2, Azure Databases, Azure Data Fabric, API Gateway management, and Azure Functions Well versed with Azure Databricks Strong SQL skills with RDBMS or NoSQL databases Experience with developing APIs using FastAPI or similar frameworks in Python Familiarity with the DevOps lifecycle ...

analytics.* Digital twin analytics.* LLM understanding.**Preferred Certifications*** Google Cloud Data Engineer or Machine Learning Engineer.* Azure Data Scientist or AWS Machine Learning certification.* Databricks, Snowflake, or equivalent data platform certification.* TM Forum SID, Open API, or Autonomous Networks training.**Nice-to-Have Qualifications*** Experience with telecom digital twin platforms. ...

where the data depth is genuine and a sound working understanding of fraud typologies sits alongside it. Experience with cloud data platforms (Azure, Fabric, Databricks or similar) is a strong plus given the data lake programme ahead. Clear English and the credibility to present analysis and recommendations to senior stakeholders. ...

solutions and operations, enabling ethical, scalable, and domain-driven AI adoption. We partner with industry leaders including Oracle, Salesforce, Microsoft, AWS, Snowflake, and Databricks, delivering outcomes across sectors such as Healthcare, Financial Services, Retail, Manufacturing, Higher Education, and the Public Sector.Guided by our core values of Trust, Value, and Velocity ...

solutions and operations, enabling ethical, scalable, and domain-driven AI adoption. We partner with industry leaders including Oracle, Salesforce, Microsoft, AWS, Snowflake, and Databricks, delivering outcomes across sectors such as Healthcare, Financial Services, Retail, Manufacturing, Higher Education, and the Public Sector.Guided by our core values of Trust, Value, and Velocity ...

work effectively in a collaborative, cross-functional team. Experience with data engineering concepts such as ETL/ELT pipelines or data platforms like Databricks and Azure Data Factory would be an advantage, as would familiarity with event-driven architectures or message queues, experience with scientific, geospatial or time-series data ...

Experience designing and building data pipelines, ETL processes, and data integration solutions. Cloud Platforms: Experience with cloud data services and platforms, such as Azure, Databricks, Snowflake, or equivalent technologies. Data Modelling: Knowledge of data modelling and hands‐on experience working with both relational and non‐relational databases. IoT/Streaming ...

work effectively in a collaborative, cross-functional team. Experience with data engineering concepts such as ETL/ELT pipelines or data platforms like Databricks and Azure Data Factory would be an advantage, as would familiarity with event-driven architectures or message queues, experience with scientific, geospatial or time-series data ...

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Strong proficiency in Python, R, SQL, or similar tools. Experience with Databricks, Azure, or other cloud/data platforms is a plus. Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques. Experience translating data ...

Preferred: Experience working in gaming, digital products, consumer technology, e‐commerce or subscription businesses. Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow. Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI. Experience applying AI tools, including ...

application, integration, and technology architectures with material experience in business architecture. Strong knowledge of enterprise data platforms, public cloud services (e.g., Amazon Web Services, Databricks, Microsoft Azure, ServiceNow), and application, data, process, service, and system integration toolsets. Experience supporting Master Data Management, Data Governance, and Analytics initiatives. Experience of understanding ...

Economics, Applied Mathematics, Business Analytics, Marketing, or a related analytical field. Strong technical proficiency in Python, R, SQL, or similar analytics tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Experience or willingness to learn visualisation tools such as PowerBi and Tableau Experience building ...

model risk management, and regulatory requirements within financial services. Exposure to modern AI-native platforms and frameworks including Azure AI Foundry, Vertex AI, Bedrock, Databricks, or Palantir. Strong consulting and problem-solving mindset. Ability to balance strategic architecture with hands-on technical delivery. Excellent communication and presentation skills. Commercially aware ...

environment that deeply cares about its values. To use a range of different tools and technologies depending on the specific task, these include: Databricks, Python, PySpark, R, Excel, Palantir Foundry, SQL and PowerBI. Qualifications Even if you don’t meet every requirement below, feel free to still apply ...

platform at scale, ideally in a consumer or marketplace environment. Deep understanding of distributed systems and modern data ecosystems — including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT. Demonstrated success in designing, building, and operating data platforms at scale, encompassing both batch processing ...

solving skills with the ability to work across software, data, cloud, and connected-product teams Desirable Experience with Azure IoT services, Azure Data Explorer, Databricks, containerisation, APIs, or cloud-native application deployment Experience with infrastructure as code, automated testing, observability, logging, or platform monitoring Awareness of MLOps concepts such ...