126 to 150 of 761 Databricks Jobs

real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks* Ability to think strategically and relate architectural decisions and recommendations to customer needs.* Ability to assess traditional and modern data architectural components based on business ...

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 ...

including design, development, unit, functional and regression testing and deployment. Agile Scrum development approach including the nature and purpose of Agile ceremonies T-SQL, Databricks SQL and Python. Azure DevOps, including workflow management (Boards) & development performance management, Deployment and Release Pipelines, and using GIT as a code repository Working knowledge ...

machine learning, open data, and cloud technologies. Youll be the Product Owner for key initiatives within our Strategic Data Programme, working in Azure and Databricks, and aligning with our enterprise-wide transformation strategy. In this pivotal role, youll act as a subject matter expert across the business, guiding senior stakeholders ...

designing and building data-intensive applications or working alongside data engineering teams Experience working with modern data platforms such as Microsoft Fabric, Snowflake, or Databricks AI engineering experience, including GenAI, LLMs, RAG, agentic solutions, or prompt engineering Blended Working: Weoperatea blended working model, with colleagues spending at least two days ...

Consulting implementation partner or as part of a delivery/technical consulting team in a software company. Experience with large data such as Snowflake, Databricks, AWS, Google Cloud Storage/Big Query, Azure administration or architecture Experience with Customer Data platforms such as Segment, Tealium, Adobe Experience Platform, Amperity, Treasure ...

frameworks, and machine learning principles to generate conversational analytics, predictive and advanced marketing insights. Comfortable working in modern cloud data environments (e.g., Snowflake, BigQuery, Databricks, Fabric). Understanding the data structures and reporting capabilities within major marketing and martech platforms (e.g., Adobe Campaign/AJO, Salesforce Marketing Cloud). Ability ...

Databricks Data Engineer £400 per day | Inside IR35 | 6-Month Contract | Fully Remote We are currently seeking a Databricks Engineer to support a large-scale data platform migration project, moving from Azure SQL to Databricks . Working as part of an established data team, you will play a key role … designing, building, and optimising data solutions whilst ensuring the successful migration of existing workloads into a modern Databricks environment. Key Responsibilities Support the migration of data workloads from Azure SQL to Databricks Design, develop and optimise scalable data pipelines Build and maintain ETL/ELT processes within Azure and Databricks ...

candidates with experience across: Cloud data warehousing - experience with Snowflake is highly desirable, but not essential . Experience with equivalent platforms such as Databricks, Azure Synapse, BigQuery or Redshift will also be considered. dbt - experience building data models, tests, incremental models and transformations would be advantageous. Python - data engineering, automation … Microsoft Azure would also be highly advantageous, particularly: Azure Data Factory Azure SQL Azure Data Lake/ADLS Azure DevOps Microsoft Fabric Azure Databricks Experience with PySpark, Airflow, Dagster, Prefect or other orchestration technologies would also be useful. We're particularly interested in people who have worked with modern data ...

master data management Knowledge of data governance, metadata management, and data quality frameworks Hands-on experience with technologies such as Azure Data Factory, Databricks, Snowflake, Microsoft Fabric, Airflow, or similar Excellent stakeholder management and communication skills Experience mentoring engineers and providing technical leadership Strong analytical and problem-solving abilities Experience … Hybrid and flexible working options Opportunity to shape enterprise-wide data strategy and architecture Work with cutting-edge cloud technologies including Azure, Microsoft Fabric, Databricks, and Snowflake Technical leadership role with significant influence across the organisation Ongoing professional development and certification opportunities Collaborative engineering culture with genuine career progression INTERVIEW ...

audit requirements. Extensive experience designing and implementing resilient data ingestion, orchestration, and provisioning capabilities for enterprise-scale workloads. Strong hands-on experience with Databricks (AWS and/or Azure), including Lakehouse architecture, distributed processing, and production operations. Strong hands-on experience with Apache Kafka and event-driven integration architectures. Proven … engineering solutions. Desirable: Experience in financial services, with exposure to ETD and OTC derivative markets highly desirable. Hands-on experience with: Azure Data Factory, Databricks Asset Bundles, Power BI, Dbt, NodeJS, Amazon API Gateway Experience working with Kafka or similar Experience with Azure DevOps (ADO), Bitbucket, and Git-based workflows. ...

reliable data solutions that support operational, financial and client reporting. Key Responsibilities Design, develop and maintain Azure Data Factory pipelines Build and optimise Azure Databricks solutions using PySpark and SQL Support a large-scale enterprise data migration programme Develop scalable ETL/ELT processes and data ingestion frameworks Design data … enjoy working closely with both technical and non-technical stakeholders to deliver practical business solutions. Essential Skills & Experience Strong commercial experience with Azure Databricks and PySpark Azure Data Factory Advanced SQL, including query optimisation and complex transformations ETL/ELT pipeline development Dimensional modelling (Kimball, Star Schemas) Experience building modern ...

Developer/Senior Developer - Azure Data Platform/DataBricks Location: Leicester (Hybrid: 3 days per week in-office) Contract Type: 12-Month Fixed Term Contract Job Schedule: Full-time The Opportunity We are seeking a skilled Developer/Senior Developer to join a rapidly expanding Business Intelligence Systems team … within an agile, multidisciplinary team to support and enhance over 70 active BI products. What You'll Bring Essential Skills & Experience: Core Technologies: Azure Databricks (or similar Spark-based platforms) and Azure Data Factory (ADF). Languages: SQL and Python. Data Platforms: Azure Data Lake and SQL Server RDBMS. ...

data solutions. Key Responsibilities Design and architect enterprise-scale cloud data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks , Snowflake , AWS and GCP . Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver ...

with Power BI, including data modelling and reporting. Experience working with modern data platforms and concepts such as lakehouse or medallion architecture. Exposure to Databricks for data transformation and pipeline development is highly desirable. Confident communicator who can work effectively with both technical and non-technical stakeholders. APPLY BELOW ...

/CD pipelines and Git Understanding of secure software development principles Excellent communication skills and experience working within Agile teams Desirable Experience Databricks Microsoft Azure Event-driven architectures (Kafka, MQTT, Azure Event Hubs, etc.) Geospatial or time-series data Observability tools such as Prometheus, Grafana or OpenTelemetry Eligibility ...

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 ...

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 ...