851 to 875 of 1,466 Permanent Databricks Jobs

qualifications and experience 2+ years of experience leading informal teams or cross-functional initiatives. Experience with enterprise platforms such as Oracle, Salesforce, ServiceNow, Workday, Databricks, enterprise data platforms or similar business systems. Experience in business process improvement, digital transformation, application adoption or value realisation. Experience identifying automation, AI or analytics ...

impact decisions.Preferred qualifications and experience2+ years of experience leading informal teams or cross-functional initiatives.Experience with enterprise platforms such as Oracle, Salesforce, ServiceNow, Workday, Databricks, enterprise data platforms or similar business systems.Experience in business process improvement, digital transformation, application adoption or value realisation.Experience identifying automation, AI or analytics opportunities within ...

execution of go-to-market strategies and programs to drive selection, onboarding and enablement, and drive GTM with ISVs (e.g., AWS, Meta, Shopify, Snowflake, Databricks, ContentSquare, AppsFlyer, etc.) in your region. This role requires a thorough understanding of Insider’s product capabilities, sales processes and partner ecosystem to ensure ...

with natural language processing, computer vision or multimodal AI models. Knowledge of Responsible AI, guardrails and safety practices in production environments. Familiarity with Snowflake, Databricks or similar data platforms. Consulting or client‐facing delivery experience. A bachelor’s or master’s degree in computer science, data science, engineering ...

medallion architecture (Bronze, Silver, Gold) as the platform matures Engineering Standards Define more detailed engineering standards — naming conventions, partitioning, testing strategy, contract templates Apply Databricks best practices and Infrastructure as Code across the platform Data Governance Own governance patterns in Unity Catalog — permissions, access models, and how we handle sensitive … data products in a growing environment — you've seen platforms mature past their early ad hoc stage and know what that evolution actually takes. Databricks expertise: Deep, hands‐on knowledge of the Databricks platform end to end — workspace and compute configuration, governance, orchestration, user management, engineering best practices. Data modelling ...

it. Nice-to-Haves Hands-on experience building multi-agent systems, prompt engineering pipelines, or deterministic AI guardrails. Familiarity with cloud data platforms (Snowflake, Databricks, BigQuery) and enterprise data pipelines. Relevant Salesforce certifications (Advanced Admin, Service Cloud, Data Cloud, Sales Cloud, or Agentforce Specialist). Unleash Your Potential Accommodations ...

commercial reps actually need, not the idealized version Hands‐on experience with Gong API, Clay, LeanData, or ZoomInfo integrations Familiarity with Nue/CPQ, Databricks, HubSpot, Hook, or Ada Spain €53.500—€84.000 EUR Czechia 1 008 000 Kč—1 632 000 Kč CZK UK £59,000—£85,692 GBP Sweden ...

line with our information governance obligations Work in close partnership with the Data Operations team, who own data analytics, data science,engineeringand product development, Databricks, and data protection,maintainingclear boundaries and strong collaboration between internal technology and client-facing data capability End-user technology and equipment Establish effective management ...

Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape … adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet ...

transformation and cloud services. With a team of dedicated experts, they work with industry-leading organisations, implementing innovative solutions using advanced platforms like Snowflake, Databricks, and Microsoft Azure. They pride themselves on a collaborative culture, fostering growth within a diverse and talented team. About you: Strong commercial experience … Senior Data Engineer or Data Consultant Hands-on expertise in Snowflake and Databricks Proficient in Microsoft Azure, including Azure Data Factory and Azure Data Lake Advanced SQL and Python or PySpark skills Experience building enterprise-level ETL/ELT pipelines Knowledge of data modelling, governance, and data quality Previous consultancy ...

Product Control, and Finance to deliver timely, consistent, high-quality analytics. You will help strengthen reliability, governance, and performance across enterprise data platforms, including Databricks and Amazon Redshift. As a Senior Lead Software Engineer at JPMorgan Chase in the Risk Central team, you will be a senior hands-on engineer … consumption layers, with a strong focus on operational excellence and predictable outcomes. You will design and evolve data products and workflows that run across Databricks and Amazon Redshift, improving consistency, controls, and performance. You will mentor engineers, drive engineering best practices, and communicate clearly on progress, risks, dependencies, and trade ...

Engineer to play a key role in its transition from a SQL Server-led environment to a modern, scalable data platform built around Azure Databricks and Python. This is not a traditional reporting role - You'll work across the full data and BI lifecycle, owning complex solutions from initial stakeholder … pipeline development, data modelling, semantic layers and Power BI delivery. You'll have the opportunity to: ·Design and build production-grade pipelines using Azure Databricks, Python, PySpark and SQL ·Develop scalable Lakehouse architecture using Delta Lake and Unity Catalog ·Build data and BI products from scratch and own them through ...

versioning and rollback strategies Applying data warehousing principles across operational and analytical workloads Helping shape the future data platform as modern technologies such as Databricks and Snowflake are introduced Working closely with backend and frontend engineers to deliver end‐to‐end solutions Documenting architecture, data flows and key design decisions … methodologies, including Kimball and Inmon Experience with Git, Jira and Agile development environments Desirable Experience Exposure to any of the following would be beneficial: Databricks or Snowflake AWS or other cloud environments Airflow or AWS Glue SSIS/SSRS Financial markets or financial data FinTech, SaaS, credit or data analytics ...

zones (cleansed, conformed business layers) while securely handling identifiable data. Scalable Data Processing: Develop, tune, and monitor large-scale batch processing pipelines using Azure Databricks (Spark-based processing) and PySpark. Orchestration & Workflow: Build automated data workflows using Microsoft Fabric Data Factory and Azure Data Factory to move data efficiently across … practical exposure to the Microsoft Fabric ecosystem (OneLake, Data Factory, Fabric Lakehouse). Big Data Processing: Deep technical expertise with Apache Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats. Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark). Security & Compliance ...

review and execute testing for complex ETL pipelines, data warehouses, reporting solutions and analytics platforms. Validate data solutions across Azure Data Factory, Azure Synapse, Databricks and SQL Server, ensuring accuracy, integrity and reliability. Support quality assurance for large-scale data migration and modernisation programmes, including reconciliation, validation and defect management. … data testing, ETL validation, reconciliation, data quality engineering and large-scale data migration or transformation programmes. Deep knowledge of Azure Data Factory, Azure Synapse, Databricks and SQL Server, with advanced SQL skills for validating complex datasets. Experience developing automated testing and quality engineering solutions using tools such as Python ...

review and execute testing for complex ETL pipelines, data warehouses, reporting solutions and analytics platforms. Validate data solutions across Azure Data Factory, Azure Synapse, Databricks and SQL Server, ensuring accuracy, integrity and reliability. Support quality assurance for large-scale data migration and modernisation programmes, including reconciliation, validation and defect management. … data testing, ETL validation, reconciliation, data quality engineering and large-scale data migration or transformation programmes. Deep knowledge of Azure Data Factory, Azure Synapse, Databricks and SQL Server, with advanced SQL skills for validating complex datasets. Experience developing automated testing and quality engineering solutions using tools such as Python ...

invoice validation/cost reconciliation/supplier portfolio management. Design, develop, and maintain robust and scalable data pipelines using Azure Data Factory, Azure Databricks, and other relevant tools. Analysis: Automate routine analysis to drive reporting delivering rich business intelligence. Reporting: Support the Energy Data Analyst to migrate complex models within … related field; a master's degree is a plus. Proven experience in data engineering and analytics, with expertise in Power BI, dbt, Databricks, and Azure. Proficiency in SQL, Python, and data manipulation libraries and frameworks. Strong problem-solving skills and analytical thinking. Excellent communication skills with the ability to collaborate ...

Mixpanel) are well-modelled, documented, and trusted Contribute to the design and governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases Identify and close gaps in marketing data coverage; define requirements for new integrations … incrementality experiments or A/B tests in a marketing context Desirable Experience with dbt (Cloud or Core) for transformation layer development Familiarity with Databricks or similar modern data lakehouse platforms Experience with Power BI (or similar data visualisation tool) Experience in a regulated financial services or fintech environment Exposure ...

Mixpanel) are well-modelled, documented, and trusted Contribute to the design and governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases Identify and close gaps in marketing data coverage; define requirements for new integrations … incrementality experiments or A/B tests in a marketing context Desirable Experience with dbt (Cloud or Core) for transformation layer development Familiarity with Databricks or similar modern data lakehouse platforms Experience with Power BI (or similar data visualisation tool) Experience in a regulated financial services or fintech environment Exposure ...

Mixpanel) are well-modelled, documented, and trusted Contribute to the design and governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases Identify and close gaps in marketing data coverage define requirements for new integrations … incrementality experiments or A/B tests in a marketing context Desirable Experience with dbt (Cloud or Core) for transformation layer development Familiarity with Databricks or similar modern data lakehouse platforms Experience with Power BI (or similar data visualisation tool) Experience in a regulated financial services or fintech environment Exposure ...

hands-on architect. Cloud & Platform Mastery: Expertise in overseeing enterprise-scale migrations, data warehousing, and analytics workloads across major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake). Data Governance & Compliance: Robust understanding of data security, lineage, privacy (GDPR, CCPA), and financial sector regulatory frameworks (BCBS 239, DORA, Basel standards) governing … Alignment: Bridge the gap between C-suite strategy and engineering pods. Interrogate data architecture decisions, oversee cloud platform deployments (AWS/Azure/GCP, Databricks, Snowflake), and ensure technical solutions scale reliably and securely. Pre-Sales & Data Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution ...

hands-on architect. Cloud & Platform Mastery: Expertise in overseeing enterprise-scale migrations, data warehousing, and analytics workloads across major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake). Data Governance & Compliance: Robust understanding of data security, lineage, privacy (GDPR, CCPA), and financial sector regulatory frameworks (BCBS 239, DORA, Basel standards) governing … Alignment: Bridge the gap between C-suite strategy and engineering pods. Interrogate data architecture decisions, oversee cloud platform deployments (AWS/Azure/GCP, Databricks, Snowflake), and ensure technical solutions scale reliably and securely. Pre-Sales & Data Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution ...

agnostic when it comes to the technology we work with and we support clients in a range of data cloud partnershipsincludingAWS, Azure, Snowflake and Databricks to name but a few. We are interested in individuals who are passionate and curious about what is next. As a Senior Consultant AWS Data … Certified Data Engineer – Associate, AWS Certified Solutions Architect - Associate, or AWS Certified Developer - Associate Experience withstreaming data architecturesand real-time analytics Familiaritywithdata platformssuch asSnowflake, Databricks is a bonus Experience with ML/AI engineering, including building or integrating production-grade machine learning or generative AI solutions. Experience with agentic development ...

insights to our clients and help them to understand the risks and key drivers for their business using software such as Python, R, Azure, Databricks/other ML services, SQL, Tableau and Power BI. Development and delivery of new and innovative data science and machine learning tools and solutions … best practices. E.g. test-driven development, smart data structure and algorithm selection. Experience in using cloud environment (e.g. Azure, AWS). Experience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services. Experience using Excel, SQL, Power BI, Tableau. Experience using Docker and Kubernetes. Experience working ...

type: Permanent/Full-time Sector and subsector: IT | Data Engineer Salary: Competitive salary Platform Architecture & Engineering responsibilities: Design and implement scalable Databricks Lakehouse platforms on AWS and/or Azure aligned to client requirements Architect end-to-end data platforms including ingestion, storage (Delta Lake), processing, and consumption layers … data governance (Unity Catalog), and access controls Define environment strategies (dev/test/prod), CI/CD pipelines, and release processes for Databricks deployments Implement monitoring, logging, cost optimisation, and performance tuning across the platform Design and implement data pipelines using Delta Live Tables, Auto Loader, and Databricks Workflows ...