1 to 25 of 334 Permanent Databricks Jobs

strong foundation in traditional data engineering skills while being able to adapt to modern tools such as Azure Data Factory, Power BI , and Databricks , with Python as the primary coding language . This role requires hands-on experience with database design, ETL development, data integration, and a passion for data ...

data modelling, and ETL/ELT patterns Familiarity with CI/CD pipelines and source control (e.g., Azure DevOps, Git) Desirable Skills Experience with Databricks and Spark Knowledge of Power BI and analytics workloads Understanding of DevOps and Infrastructure as Code (e.g., ARM, Bicep, Terraform ...

lead technical discussions and provide guidance on data engineering best practices. Ability to troubleshoot and optimize data workflows. Required Knowledge and Skills: Experience with Databricks or Spark-based environments, including optimization strategies. Familiarity with data governance tools and frameworks (e.g., Unity Catalog). Experience with JavaScript Full-Stack development environments ...

automation tasks. Proven ability to design, build, and maintain scalable data pipelines for batch and streaming data using modern frameworks. Experience working with Databricks for big data processing, Spark-based transformations, and collaborative analytics workflows. Familiarity with Azure Data Factory (ADF) for data orchestration and integration across cloud environments. Skilled ...

analytics contexts Proven solid background in cloud architecture (Azure, AWS, or GCP) Proven deep understanding of and experience with Microsoft Fabric, Snowflake or Databricks, or comparable technology Proven deep understanding of data engineering, ETL pipelines, and BI tools (Power BI, Tableau, etc.) Proven experience with containerization (Docker, Kubernetes) and serverless ...

Google Cloud Platform or related technologies. • Experience with other cloud platforms (eg AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (eg Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks.Your characteristics as a Consultant will include: • Driven by delivering ...

data warehousing, and cloud architecture Required - 5 Years Microsoft Azure certifications (e.g., DP-203, AZ-900). Required - 1 Years Experience with Power BI, Databricks, or Python for data transformation. Required - 5 Years Familiarity with Agile methodologies and tools like JIRA or Azure Boards Required - 4 Years ...

shape and deliver a refreshed data strategy and modern analytics platform Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Designing and optimising core data models that are dimensional, analytics-ready, and built to last Creating trusted data products that enable self-service ...

shape and deliver a refreshed data strategy and modern analytics platform Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Designing and optimising core data models that are dimensional, analytics-ready, and built to last Creating trusted data products that enable self-service ...

shape and deliver a refreshed data strategy and modern analytics platform Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Designing and optimising core data models that are dimensional, analytics-ready, and built to last Creating trusted data products that enable self-service ...

shape and deliver a refreshed data strategy and modern analytics platform Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Designing and optimising core data models that are dimensional, analytics-ready, and built to last Creating trusted data products that enable self-service ...

shape and deliver a refreshed data strategy and modern analytics platform Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Designing and optimising core data models that are dimensional, analytics-ready, and built to last Creating trusted data products that enable self-service ...

understanding of statistics and practical machine learning concepts (classification, regression, clustering). Knowledge of big data platforms and cloud-based AI analytics environments (e.g., Databricks, Snowflake, Azure ML, or AWS SageMaker). Ability to present complex issues as simple, compelling, and data-driven narratives, enhanced by AI-supported visualization ...

Azure). Expert-level SQL and database design (normalisation, indexing, query optimisation). Strong experience with ETL/ELT tools. E.g. Azure Data Factory, Databricks, Synapse Pipelines, SSIS, etc. Experience with Python, PySpark, or Scala for data processing. Familiarity with CI/CD practices. Experience with Data lake, Data warehouse ...

delivery, including automated build and release pipelines (e.g. Azure DevOps). Significant experience developing and optimising complex SQL queries on modern data platforms (e.g. Databricks SQL). Experience programming in object-oriented or functional languages such as Python or Scala. Experience using statistical or analytical languages (e.g. R) to support ...

Services) Microsoft Fabric, and Power BI Experience of IaaS/on-premises equivalents of the above workloads is valid, such as SSIS, SSAS, SSRS Databricks (desirable) Demonstrable experience of working with query languages within these workloads, such as Transact-SQL to a highly proficient level Data transformation expressions in Data ...

Power Apps, Power Automate, Power Pages, and Microsoft 365 collaboration tools (Teams, SharePoint). Understanding of Azure services such as Data Lake, Synapse, Databricks, Azure Machine Learning; Fabric for end to end analytics desirable. Awareness of AI enabled tooling (e.g. Copilot/Gemini) is an advantage. Leadership & Interpersonal Skills Proven ...

/ML and GenAI frameworks such as PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers Some knowledge of commonly used data platforms (e.g. Databricks, Snowflake, or Lake Formation) and tools (e.g. dbt) and their underlying technologies (e.g. Delta, Iceberg, Hudi, Spark) Experience building and scaling AI-powered systems or applications ...

Data technologies (Spark, Hadoop, Kafka). - Strong understanding of API-based integrations. Preferred Skills: - NoSQL experience (MongoDB, DynamoDB). - Snowflake/Redshift/Databricks exposure. - CI/CD for data platforms (GitLab, Terraform, CloudFormation). - Data governance and security frameworks. ...

someone with: Proven experience as a Data Engineer or similar cloud-first data role. Expertise in Microsoft Azure data services (Data Factory, Synapse, Databricks) and Microsoft Fabric. Strong SQL skills for managing large-scale datasets. Experience integrating Microsoft Dynamics 365 data solutions. Knowledge of data modelling, warehousing, and ETL/ ...

have most, if not all the following: Experience as a Senior Data Engineer or similar Strong knowledge of Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. ...

related frameworks (e.g., LangChain, TensorFlow, etc.) Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying GenAI workloads. Knowledge of market insight, technology trends, and competitor intelligence Experience ...

doing Your focus will be on designing, building and owning cloud-native data engineering solutions, including: Leading the development of an enterprise-scale databricks platform using modern data engineering tools and frameworks Building ingestion, transformation and validation pipelines across cloud data sources, APIs and operational systems Translating data architecture into ...

coaching (hands on coding not primary). Familiarity with planning/BI tools (e.g., BOARD, Qlik, PowerBI), experience with modern cloud data platforms like Databricks preferred. Analytical and strategic mindset; ability to balance innovation with simplicity and maintainability; resilience under change Fluent English (written and spoken); German is a plus. ...

system design, scalability, and clean coding practices. Familiarity with application monitoring solutions Data Engineering 5+ years building scalable and reliable data pipelines using Databricks and Apache Spark. We need both. Experience with cloud data warehouse/data lake architectures and tooling. Experience building solutions using cloud providers, preferably Azure ...