226 to 250 of 1,448 Databricks Jobs

impactful projects. Develop your technical expertise across data engineering, AI, analytics, and modern DevOps practices. About the role: We are seeking an Azure Databricks Developer to design, develop, and support scalable data engineering solutions using Azure Databricks and the broader Azure data platform. In this role, you will build robust … high-quality data products while ensuring compliance with security, governance, and operational standards. Key Responsibilities: Design, develop, and optimise scalable data pipelines using Azure Databricks, PySpark, Spark SQL, and Delta Lake. Build robust ETL/ELT solutions and data ingestion frameworks supporting batch and streaming workloads. Integrate data from multiple ...

Databricks Technical Lead l Contract | 12 Months | Outside IR35 l Up to £1,000 per day | Remote first, occasional on-site (Midlands & South East) The role Method Resourcing have been asked by one of our consulting partners to find a hands-on Databricks Technical Lead to design and deliver … Azure Databricks platform for a major life sciences organisation replacing its enterprise data and analytics stack. The programme uses AI and LLM tooling to reverse-engineer existing pipelines, business logic and reports into documented, tested code. You'll mentor three senior data engineers, own the technical architecture and stay hands ...

Strategy & Execution Manager London, United Kingdom; Paris, France SLSQ427R539 The Sales Strategy team works directly with Databricks’ Sales Leadership team to accelerate growth. Our team is focused on empowering our stakeholders and senior leadership with data-driven insights & tools to shape the GTM strategy & drive operational scale in an extremely … fluent in working with large datasets. You have excellent spoken and written communication & presentation skills. French language skills are a nice‐to‐have About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever ...

Value Use Cases: Lead customers, partners, and internal teams to uncover impactful Data and AI use cases while proving out their value on the Databricks Data Intelligence Platform. Execute Transformation Strategies: Implement customer data and AI transformation goals through strategic partnerships, well-scoped professional services, training, and targeted C-level … Global System Integrators (GSIs). Executive Presence: Proven capability to co-develop business cases and secure buy-in from C-level executives. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever ...

content Overview Culture Benefits Diversity Engineering Research Students & new grads Back to search results Manager, Marketing Insights & Operations — EMEA London, United Kingdom SLSQ327R566 Mission Databricks is seeking a Manager, Marketing Insights Business Partner to serve as the embedded insights partner to the [VP/GM] of EMEA Marketing and their … global Marketing Insights function, surfacing regional requirements and gaps so that global frameworks and tooling work in‐region rather than requiring local workarounds. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever ...

cloud data solutions with Python, Spark, SQL, PySpark and Power BI. The role emphasizes client-facing advisory, Agile delivery, and experience with Snowflake/Databricks in a dynamic data practice. #J-18808-Ljbffr ...

wider Government experience Current SC Clearance gained on a Government programme Data Engineering background ETL/ELT pipeline development experience AWS, Azure or Databricks experience Database migration experience from Oracle or SQL Server to PostgreSQL Data modelling and data warehouse experience Benefits Competitive salary 25 days annual leave Flexible working ...

Hands-on experience building AI agents and agentic workflows. Strong knowledge of prompt engineering and RAG. Strong Python and SQL skills. Experience with Azure Databricks and/or Microsoft Fabric. Work with Power Platform and Copilot Studio to deliver business automation and AI solutions. Experience building data pipelines and working ...

work across backend development, large-scale data processing and cloud technologies. Technology Stack Essential Python FastAPI Pandas ETL Pipelines Docker Kubernetes Desirable Azure Databricks Angular Power BI Data Science or Machine Learning experience What They're Looking For Strong commercial Python development experience Experience working with large datasets and data ...

Proactive approach with the ability to work independently and as part of a team. Good communication and collaboration skills. Nice to Have Experience with Databricks . Experience with Apache Kafka . Experience with Kafka Connect . Knowledge of event-driven data architectures and real-time data processing. Key Technologies Diversity ...

segmentation, and regression; Machine learning algorithms including XGboost, KNN Neighbors, and Random Forest; Data extraction, cleaning, and analysis; Cloud Computing or Distributed Computing (Azure Databricks or Spark). Please copy and paste your resume in the email body (do not send attachments; we cannot open them) and email ...

independently, investigate complex problems and take ownership of technical solutions. Strong communication skills and a collaborative approach. Desirable Experience Data engineering technologies such as Databricks, PySpark or Spark. Cloud platforms, particularly AWS. Python frameworks such as FastAPI and PyTorch. Experience developing APIs and data pipelines. Infrastructure as Code, CI/ ...

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 ...

Strong hands-on experience with Scala and Spark. Excellent knowledge of ETL, data architecture and cloud data platforms. Experience with Azure Data Factory, Azure Databricks and SQL. Strong stakeholder management and communication skills. Experience operating within Financial Services environments. Ability to balance technical leadership with hands-on delivery.Proficient in tools ...

what stage of the workflows, and contributing to target data models. Proficiency in Python and SQL, experience on a cloud data platform (e.g. Azure, Databricks), and an understanding of data architecture Experience building Power BI dashboards and automated reporting for non-technical stakeholders. Substantial experience (typically 5+ years ...

with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma Demonstrated ability to translate technical findings into strategic ...

communication and problem‐solving skills to collaborate across global teams, and translate complex data insights into actionable outputs Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies Ability to communicate technical concepts clearly to non‐technical stakeholders Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm ...

capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise “data” is broad, that’s why we’re keen ...

zones, governance frameworks, and Infrastructure as Code using Terraform, Bicep, or ARM templates. Knowledge of Azure Data & AI services including Azure Synapse Analytics, Azure Databricks, Azure Data Lake, machine learning, and applied AI solutions. Experience delivering hybrid and multi-cloud architectures in large enterprise environments. We're excited to meet ...

services, and scripting and automation using common libraries and frameworks relevant to the role Experience with data engineering and analytics platforms such as PySpark, Databricks, Airflow, or similar orchestration tools Experience with relational databases and SQL; familiarity with NoSQL databases and data modeling concepts Knowledge across the data lifecycle including ...

Continuously learn and improve engineering practices What we’re looking for batch processing distributed data processing Experience with technologies such as: Kafka Flink Spark Databricks experience is a plus Experience implementing: Data Lakes Big Data Analytics platforms Cloud-based solutions experience AWS preferred Software Engineering Expertise with: RDBMS Data Warehousing ...

code Distributed Data Processing Experience building and operating: batch processing systems distributed data systems near real-time streaming pipelines Familiarity with: Kafka Flink Spark Databricks experience is a strong plus Databases & Data Warehousing Comfortable working with: RDBMS data warehousing solutions Strong understanding of data modelling aligned with business needs Reliability ...

ongoing operation of reporting and planning systems using the following tools and skill sets: DataWarehousing (e.g. SAP BW) DataModelling Data integration (Fabric/Databricks) SAP BW query writing BI Report development Data Security Master Data Management Implementation of AI in digital solutions Working with Finance data and processes Customer service ...

capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners – including Anthropic, Databricks, AWS, OpenAI, and Microsoft – to deliver modern AI with speed and measurable impact. We recognise “data” is broad, that’s why we’re keen ...

reporting and planning systems using the following tools and skill sets: Data Warehousing (e.g. SAP BW)/Data Modelling Data integration (Fabric/Databricks) SAP BW query writing BI Report development Data Security Master Data Management Implementation of AI in digital solutions Working with Finance data and processes Customer service ...