151 to 175 of 761 Databricks Jobs

Commitment to an inclusive team environment where people are recognised and supported. Desired TOGAF or equivalent architecture certification. Certifications/exposure to Microsoft Fabric, Databricks, Snowflake , or similar enterprise data platforms. Experience with Data Mesh or domain-oriented data product operating models. Familiarity with governance platforms: Collibra, Informatica , etc. Experience ...

What we are looking for Experience Proven leadership of enterprise‐scale data platforms in complex organisations Deep expertise in cloud data technologies, including Snowflake, Databricks, AWS, and Microsoft stack Strong background in platform architecture and multi‐vendor, multi‐cloud environments Experience working in Agile environments with diverse stakeholders Knowledge ...

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. ...

across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment approaches where relevant What We Are Looking ...

. Familiarity with Workday APIs, Workday Prism Analytics, and automated testing frameworks like Kainos Smart. Knowledge of data engineering and analytics platforms such as Databricks, with experience in leveraging them for scalable data processing and machine learning workflows. Active participation in knowledge sharing activities, such as conferences, blogs, or internal ...

. Familiarity with Workday APIs, Workday Prism Analytics, and automated testing frameworks like Kainos Smart. Knowledge of data engineering and analytics platforms such as Databricks, with experience in leveraging them for scalable data processing and machine learning workflows. Active participation in knowledge sharing activities, such as conferences, blogs, or internal ...

across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment approaches where relevant You'll also work with ...

executives Commitment to inclusive, collaborative teamwork Strong problem-solving and analytical skills Preferred qualifications, capabilities, and skills Experience with modern data platforms such as Databricks or Snowflake Hands-on expertise with Spark/PySpark and big data processing technologies Knowledge of open-source table formats and catalog services such ...

thrive in fast-paced, dynamic environments and lead change-management initiatives Preferable qualifications, capabilities and skills Practical experience with modern data platforms (Snowflake, Databricks, BigQuery) and micro-services or data-mesh architectures preferable. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

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 ...

graph databases (Neo4j) Knowledge of networking, security best practices, IAM configuration, and secrets management Experience supporting data pipelines, ETL workflows, and cloud data platforms (Databricks, Snowflake) Strong experience with the set up/design/governance and security of Clean Rooms and clean room integrations Previous experience in early-stage ...

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 ...

least one major cloud provider (AWS, Azure, or GCP). Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate. Disciplined use of AI tools across the delivery process with the ability to validate output ...

related technical discipline. Preferred Qualifications: To support our strategic roadmap, we would value hands‐on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks, LLM integration ...

related technical discipline.## **Preferred Qualifications:*** ## To support our strategic roadmap, we would value hands-on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks ...

Identity management Software Engineering Python REST APIs Git CI/CD Containers Infrastructure as Code Testing AI systems Platform Engineering Kubernetes Azure AI Foundry Databricks Microsoft Fabric Snowflake MLOps/LLMOpstooling Consulting competencies TheAISolutionArchitect should be able to: Facilitate AI discovery workshops. Identify and prioritise business use cases. Estimate business ...

Codelitt in Edinburgh is seeking a Senior Data Platform Engineer to build and evolve a financial data platform on Databricks. This hybrid role requires you to visit the Edinburgh office 2-3 days per week ...

reusable data products for analytics, reporting, and machine learning pipelines Implement query tuning, indexing, partitioning, and caching strategies in platforms such as Snowflake and Databricks Collaborate with data scientists, engineers, and business teams to deliver analytics-ready datasets Establish and enforce data governance practices aligned with SOC 2 and GDPR … Implement access controls, data lineage tracking, and encryption standards Build resilient automated workflows using Step Functions and Databricks Workflows Implement monitoring, logging, and alerting systems for reliability and data quality Guide junior engineers and contribute to internal knowledge-sharing initiatives Stay current with emerging technologies and champion continuous improvement ...

JPMorgan Chase within our Corporate Investment Bank , Payments Technology team, you'll design, build, and operate scalable data pipelines and analytics workloads on the Databricks Lakehouse platform. We're looking for a Databricks Engineer to design, build, and operate scalable data pipelines and analytics workloads on the Databricks Lakehouse platform. … deliver trusted datasets, performant ETL/ELT pipelines, and well-governed data products. Job responsibilities Design and implement batch and streaming data pipelines using Databricks (Spark), Delta Lake , and orchestrators (e.g., Workflows , Airflow, ADF). Develop and optimize Spark jobs (PySpark/Scala) and SQL transformations for performance, reliability ...

JPMorgan Chase within our Corporate Investment Bank , Payments Technology team, you'll design, build, and operate scalable data pipelines and analytics workloads on the Databricks Lakehouse platform. We're looking for a Databricks Engineer to design, build, and operate scalable data pipelines and analytics workloads on the Databricks Lakehouse platform. … deliver trusted datasets, performant ETL/ELT pipelines, and well-governed data products. Job responsibilities Design and implement batch and streaming data pipelines using Databricks (Spark), Delta Lake , and orchestrators (e.g., Workflows , Airflow, ADF). Develop and optimize Spark jobs (PySpark/Scala) and SQL transformations for performance, reliability ...

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 and Snowflake.Please Note:Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.To obtain SC clearance … 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.Design ...

looking for a London-based Data Engineer (Databricks) who will work closely with clients in Operational Risk Management domain to design and implement scalable data solutions tailored to their business needs. This role demands both technical expertise and soft skills, as youll be translating complex data requirements into actionable architectures … directly with stakeholders. Requirements: 5+ years of hands-on data engineering experience, ideally within a consulting or client-facing environment Hands-on experience with Databricks Lakehouse Platform Strong SQL skills and proficiency in Python Experience designing and deploying solutions in cloud environments Ability to quickly grasp diverse business domains ...

engineers. Ideal candidates have 7+ years in data engineering, strong SQL/Python, and hands-on experience with Azure/AWS/GCP, Databricks, Snowflake and CD/CI, DataOps, and data governance. #J-18808-Ljbffr ...

Microsoft Data & AI consultancy, seeks a Senior Consultant for client engagements across sectors. You will design modern data platforms using Microsoft Fabric, Azure Databricks and Power BI, lead workshops, and drive architecture discussions. Occasional UK and international travel may be required. Strong communication and consulting skills are essential. The role ...

within a 80+ strong team delivering value-driven data solutions for operational and business analysis. In this role you will leverage Azure Data Lake, Databricks, and Power BI to streamline ingestion, governance, and analytics while #J-18808-Ljbffr ...