126 to 150 of 674 Permanent Databricks Jobs

data governance, quality standards, and effective stakeholder engagement. Desirable Qualifications Advanced architectures: Data mesh, data fabric, real-time/event-driven systems Modern tools: Databricks, Snowflake, Kafka, dbt Cloud engineering maturity: CI/CD, Infrastructure as Code, DataOps, containers AI/ML enablement: Supporting MLOps and advanced analytics platforms Analytics ...

experience with technologies such as Python, SQL, Java, .NET or JavaScript Experience working with modern enterprise data technologies such as Snowflake and/or Databricks Good understanding of enterprise data platforms, data architecture, on-premise lakehouse architectures and enterprise systems Knowledge of DevOps, CI/CD, Infrastructure as Code ...

integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery ...

methodologies, CI/CD, application resiliency, and security Practical cloud‐native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands‐on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines ...

integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery ...

Data engineering: building and maintaining data pipelines, ETL/ELT, SQL, cloud data platforms (for example Azure, AWS or GCP), tools such as dbt, Databricks, Airflow, Snowflake or BigQuery. Machine learning: designing, training, deploying and monitoring models in production, Python, and the ML lifecycle including MLOps. Applied AI: modern ...

methodologies, CI/CD, application resiliency, and security Practical cloud‐native experience Preferred Qualifications, Capabilities, and Skills: Experience with modern data technologies such as Databricks or Snowflake Hands‐on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines ...

with AWS or another major cloud platform Docker and containerised application experience Infrastructure as code experience, ideally Terraform or CloudFormation Experience with SQL, PySpark, Databricks or AWS Glue Exposure to Scikit‐learn, PyTorch, LightGBM or similar libraries An understanding of LLMs, multimodal models or generative AI applications Deep commercial ...

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 ...