376 to 400 of 761 Databricks Jobs

incident management and platform-related administration where required SKILLS AND EXPERIENCE 3-5 years' experience in data-focused roles Strong hands-on experience with Databricks Experience with modern data platforms such as Synapse, Snowflake, BigQuery, or Redshift is beneficial Background in data product, data engineering, business analysis, analytics, or platform ...

business decisions and improve marketing effectiveness Understanding of statistical methodologies, including hypothesis testing and confidence intervals Exposure to cloud-based data platforms such as Databricks, Snowflake, or BigQuery Strong stakeholder management and communication skills Comfortable working within a collaborative, agile environment How to Apply If you're interested in combining ...

/B testing and optimisation techniques. Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). TPBN1_UKTJ ...

/B testing and optimisation techniques. Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). ...

Implement Data Solutions:Design & Build scalable pipelines (Batch and real-time) using cloud-native tools/frameworks (DIHOP, DIHOC, AWS Glue, DBT, Snowflake, Databricks).Apply architectural patterns for data lakes, streaming, and batch processing.Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka.Technical POCsTechnical assessment of Cloud data technologies ...

product development, business analysis, or specification management. Working knowledge of Atlassian Jira and Confluence for product delivery, backlog management, and documentation. Familiarity with SQL, Databricks, Python, or similar technologies , with the ability to understand technical concepts and collaborate effectively with engineering teams (hands-on development experience is not required). ...

frameworks (e.g., LangChain, LlamaIndex), and prompt engineering. Deep expertise in data modeling, processing, integration, and analytics with enterprise data platforms (Salesforce Data Cloud, Snowflake, Databricks, BigQuery). Significant direct experience with the Salesforce platform, including advanced configuration, customization, and complex development. Demonstrated entrepreneurial mindset, a “get‐things‐done” attitude ...

with a platform engineer and presenting a business case to a C‐minus‐1. Preferred, not required Experience with the modern data stack: Snowflake, Databricks, dbt, Airflow, BigQuery, Spark, or similar. Data observability, data quality, or AI observability experience is a strong plus. Familiarity with MEDDPICC, Command of the Message ...

JIRA. Experience holding accountability for delivery outcomes against challenging programme timelines. Experience delivering solutions within Data Lakehouse environments. Understanding of Medallion Architecture. Exposure to Databricks platforms and modern cloud-based data ecosystems. Previous experience working with enterprise data transformation programmes. Qualifications Degree educated or equivalent professional experience. Agile certification ...

delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron Labs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn ...

delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron Labs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn ...

with focus on data integration, data quality and governance. Good understanding of modern data platforms (at least one) such as Microsoft Fabric, Snowflake or Databricks with an exposure of their application in healthcare sector for analytics and AI. Good understanding of leading frontier AI models and their application in Healthcare ...

biomarker discovery, or trial optimization.* Experience with agentic AI or LLM orchestration in Life Sciences.* Familiarity with platforms such as AWS, Azure ML, Databricks, foundation‐model platforms (e.g., ChatGPT, Claude), or modern code/AI tooling.## ## ## **What We’re Looking For*** **Polymath mindset:** Ability to combine strategy, technical ...

/or implement data governance recommendations based on a client’s needs, priorities, and environment Hands on experience working in a data governance technology (Databricks Unity Catalog, Microsoft Purview, Alation, Atlan, Collibra and Ataccama) Experience with defining and initiating Data Governance strategies, frameworks, operating models, and workflow processes Experience with ...

/or implement data governance recommendations based on a client’s needs, priorities, and environment Hands on experience working in a data governance technology (Databricks Unity Catalog, Microsoft Purview, Alation, Atlan, Collibra and Ataccama) Experience with defining and initiating Data Governance strategies, frameworks, operating models, and workflow processes Experience with ...

organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time. With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness. About the Role This ...

system efficiency at scale Familiarity with a range of tools and technologies including: Development: Kotlin, Java Data storage/processing: DynamoDB, MySQL, Snowflake, Databricks, Spark Infrastructure as code and CI/CD: Terraform, GitLab CI/CD//You don't need to have experience in every area listed ...

Data & AI - Seen as a credible thought partner to CXOs, with strong understanding of Data, AI, Analytics and tech ecosystems (AWS, Azure, GCP, Databricks, Palantir), enabling articulation of value, limitations, and ROI while influencing strategic decisions and guiding Data & AI-led transformation EXL Differentiation - Position EXL as a Data ...

Data & AI - Seen as a credible thought partner to CXOs, with strong understanding of Data, AI, Analytics and tech ecosystems (AWS, Azure, GCP, Databricks, Palantir), enabling articulation of value, limitations, and ROI while influencing strategic decisions and guiding Data & AI‐led transformation EXL Differentiation - Position EXL as a Data ...

with agentic frameworks* Deep expertise in data modeling, processing, integration, and analytics, with demonstrable proficiency in enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks, BigQuery)* Significant direct experience with the Salesforce platform, including advanced configuration, customization, and complex development* Demonstrated entrepreneurship, a "get-things-done" attitude, and a focus ...

Databricks Data Engineer - Data Ingestion 6 months - £550 a day (outside IR35) Location: UK - Hybrid/Remote We are looking for an experienced Databricks Data Engineer/Data Ingestion Engineer to join a large, global organisation. The role is focused on data ingestion and engineering, connecting data from multiple sources … building robust pipelines within a modern Azure/Databricks environment. Key Responsibilities Build and maintain data ingestion pipelines using Databricks. Connect to multiple data sources including SQL databases, APIs and Azure services. Develop pipelines using Azure Data Factory and Databricks Lakeflow. Implement appropriate ingestion strategies including incremental and batch loads. ...

Senior Technical Lead will be responsible for leading the technical aspects of projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and maintaining data pipelines and ETL processes while ensuring high performance and scalability of data solutions. … Responsibilities Lead the end-to-end technical implementation of data projects using azure data factory, azure databricks, sql, oracle pl/sql, and python. Design and develop efficient and reliable etl processes for large datasets. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. ...

integrating AI/ML tools. What You'll Do: Build and optimize data pipelines using Azure Data Factory (ADF) and SSIS . Leverage Databricks and Azure Data Lake to innovate and streamline workflows. Create high-impact reporting solutions in Power BI . Collaborate with multi-functional product teams and mentor … junior developers. What We're Looking For: Languages: Strong proficiency in SQL and Python . Data Platforms: Hands-on experience with Databricks and Azure Data Lake . ETL: Proven ability to build efficient pipelines (ADF, SSIS, APIs). Desirable: PySpark, Dimensional Modelling, DAX/SSAS, or an interest ...

cross-domain impact. You'll lead NFS's transition from a SQL Server-centric environment to a modern, scalable platform built on Azure Databricks and Python, while keeping Power BI delivery sharp and stakeholder-ready. Your domain knowledge is the differentiator. You ask better questions, catch errors faster, and build … them into governed, trusted BI products from model to report layer. Architect the platform — Lead the shift to a cloud-native lakehouse on Azure Databricks with Delta Lake and Unity Catalog. Establish Python-first standards and reusable framework patterns for the team. Rationalise KPIs — Drive "one version of the truth ...

migration from a legacy data warehouse into a modern Azure Data Lake, develop Power BI dashboards and reporting solutions, support data engineering activities using Databricks and Azure Data Factory, and work closely with stakeholders to translate business requirements into scalable technical solutions. Alongside your technical responsibilities, you'll mentor … Ensuring Your Success To succeed in this role, you'll bring strong experience in data modelling, reporting, and analytics, with expert knowledge of SQL, Databricks, Azure Data Factory and Power BI, including DAX and semantic modelling. You'll have a solid understanding of Azure Data Lake architecture, ETL processes, dimensional ...