26 to 50 of 1,387 Permanent Databricks Jobs

Data Engineer or in a similar role Strong Python/PySpark and SQL skills Hands-on experience with Microsoft Fabric, or with Databricks/Azure Synapse/Azure Data Factory and a willingness to move to Fabric Comfortable with Git, pull requests and CI/CD. Terraform or other infrastructure ...

major cloud platforms (AWS, Azure, or GCP) including Snowflake deployment, networking (Private Link), and cloud storage integration (S3, ADLS, GCS); familiarity with lakehouse stacks (Databricks, Delta Lake, Apache Iceberg) is a plus.Mastery of Snowflake security and governance: RBAC, tag-based governance, dynamic data masking, row access policies, column-level security ...

using Python, .NET, or similar technologies. Proficient in Power BI or comparable reporting tools. Experience with Azure data products (Data Factory, Synapse, Fabric) and Databricks is particularly valuable; other cloud platforms are also valued. Skilled in understanding business needs and translating them into reliable technical solutions, accessible reports and dashboards. ...

engineering, ideally in a SaaS, marketplace, fintech, payments, e-commerce or multi-region B2B2C environment. Strong Microsoft Fabric capability, or deep Azure Synapse/Databricks experience with clear ability to specialise quickly in Fabric. Expert SQL/T-SQL plus strong Python or PySpark, with a track record of building ...

working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloads - Understanding of Data Security, Data ...

working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloads - Understanding of Data Security, Data ...

working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloads - Understanding of Data Security, Data ...

working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloads - Understanding of Data Security, Data ...

Engineering and Analytics Engineering Building data pipelines and ETL/ELT workflows. Working with at least one cloud data platform (e.g. Azure, Microsoft Fabric, Databricks, Snowflake). Designing data models for reporting, analytics or reconciliation. Implementing data quality checks and technical documentation; exposure to version control and CI/ ...

cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake**Please Note:**Security Clearance: **To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.** To obtain ...

platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialisation (archetype) and are recognised within your team for depth … real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialisation (archetype) — becoming a go-to resource for your team in that domain Orchestrate ...

will have: You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the Banking segment. You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires … plan You will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform You will support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped ...

Data Catalog, dbt, or Great Expectations. Experience with containerization and orchestration (Docker, Kubernetes/GKE). Exposure to other data platforms such as Snowflake, Databricks, or Kafka. Experience supporting AI/ML workloads or Vertex AI pipelines. Bits In Glass (BIG) operates as a rapidly expanding AI and automation consultancy ...

Engineering and Analytics Engineering Building data pipelines and ETL/ELT workflows. Working with at least one cloud data platform (e.g. Azure, Microsoft Fabric, Databricks, Snowflake). Designing data models for reporting, analytics or reconciliation. Implementing data quality checks and technical documentation; exposure to version control and CI/ ...

including data modelling, ETL processes, data integration and data warehousing. Extensive hands‐on experience with Azure cloud services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage. Proficiency in programming languages such as Python, SQL, .Net, PowerBI. Previous experience working with various LLMs, Copilot ...

experience with the following in a previous role: Python SQL Cloud platform architecture (AWS, Azure, GCP) Data Lakes/Lakehouses and analytical tools (Databricks, Azure Fabric/OneLake, AWS Lake Formation, Spark, Athena, etc.) CI/CD and other DevOps practices such as IaC Testing Additional experience with the following ...

foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. Experience applying software engineering practices to analytics work, including Git‐based workflows, automated testing ...

foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing ...

lead to success Strong experience in data engineering, including SQL, Python and modern ETL/ELT development. Experience with cloud data platforms such as Databricks, Microsoft Fabric, Snowflake or equivalent technologies. Strong understanding of data modelling, data warehousing, governance and analytics architecture principles. Experience implementing automated testing, CI/ ...

data governance, security, quality and platform performance. Confidence working independently, making technical decisions and communicating with stakeholders. Exposure to Azure Data Factory, Azure Databricks or other Microsoft data services. An interest in AI, automation and emerging technologies within data engineering. Interested? If you're an experienced data engineer or analytics ...

priorities Preferred Qualifications Advanced degree in Computer Science, Data Science, or a related field Certifications in relevant technologies, such as Azure Data Engineer or Databricks Certified Developer Experience with real-time data processing and streaming technologies like Apache Kafka or Azure Event Hubs Knowledge of data visualization tools, such ...

rewarding role, career development, training, an empowered and supportive working environment, and competitive reward package. About you Technical Skills Azure Data Factory (ADF) Azure Databricks Azure Synapse Analytics Azure Data Lake Storage (ADLS) Azure SQL Database and SQL Server Microsoft Fabric (preferred) Advanced SQL development and performance tuning skills Experience ...

working in a similar senior role Experience in designing and implementing Azure Data solutions using services such as: Microsoft Fabric Azure Synapse Analytics Azure Databricks Azure Data Lake Storage Gen2 Azure SQL Database Azure Data Factory Azure DevOps Azure Stream Analytics Microsoft Power BI Familiar with Azure Purview An understanding ...

reporting best practice. Experience with Azure data services such as Azure Data Factory, Azure Synapse Analytics, Azure SQL, Data Lake Storage or Databricks would be advantageous. Understanding of data governance, security, access control, data quality and data lifecycle management. Ability to troubleshoot data platform, refresh, integration, performance and configuration issues. ...

Pyspark Building data warehouse or data lakes with SCVs or in conjunction with CDP platforms Experience of ELT/ETL tools such as Databricks, Azure Data Factory, SSIS, Talend, Informatica and Palantir Managing and motivating teams and individuals Understanding and application of statistical and analytical methods Ability to lead ...