11 of 11 Databricks Jobs in Derbyshire

. Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact More ❯

. Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact More ❯

discussions, and knowledge sharing Prioritize and resolve issues reported in live systems to ensure minimal downtime Document migration processes and provide regular progress updates Essential skills Strong experience with Databricks Proficient in SQL for data querying and transformation Solid understanding of Azure Services including: Azure Data Factory Azure Storage Containers Lakehouse architecture Expertise in PySpark for big data processing In More ❯

SQL development skills including: MS SQL Server, T-SQL, indexing, stored procedures, relational/dimensional modelling, data dashboards. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. Working closely with key stakeholders including data architects, analysts, testers and managers. Working across the full SQL development life-cycle including: design, development, documentation and testing. Advantageous More ❯

SQL, indexing, relational/dimensional modelling, data dashboards. Building/optimising data pipelines and integrations across cloud platforms. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. Working closely with key stakeholders including data architects, analysts, testers and managers. Working across the full SQL development life-cycle including: design, development, documentation and testing. Advantageous More ❯

processes. Implementing robust ETL solutions to consolidate data from multiple sources into the central data warehouse. Working with a fully cloud-based Azure ecosystem (including Azure Data Factory and Databricks). Exploring opportunities to integrate AI/ML tools to drive innovation and business growth. What’s in It for You: Salary up to £60,000 + discretionary bonus Remote More ❯

processes. Implementing robust ETL solutions to consolidate data from multiple sources into the central data warehouse. Working with a fully cloud-based Azure ecosystem (including Azure Data Factory and Databricks). Exploring opportunities to integrate AI/ML tools to drive innovation and business growth. What’s in It for You: Salary up to £60,000 + discretionary bonus Remote More ❯

these projects, mentoring and ensuring best practices What do I need to apply Expert use of Python Expert use of the full Azure Data Stack ERP exposure MS Fabric, Databricks, PySpark, Power BI are also desirable skills My client have limited interview slots and they are looking to fill this vacancy by then end of the month. I have limited More ❯

knowledge of Unix-based CLI commands, source control and scripting Working knowledge of containerisation (e.g. Docker) and container orchestration (e.g. Kubernetes) Working knowledge of a cloud data platform (e.g. Databricks) and a data lakehouse architecture (e.g. Delta Lake) Working knowledge of the AWS cloud technology stack (i.e. S3, Glue, DynamoDB, IAM, Lambdas, ELB, EKS) Rewards And Benefits As you help More ❯

Social network you want to login/join with: Reimagine enterprise data and content operations at massive scale! As the Principal Data and AI Engineer at Flexera, you will drive technical innovation and lead a talented team focused on the More ❯

stakeholders and business users. Key Skills: Proven background in platform selection, configuration, and onboarding (ideally across AWS, cloud, or on-prem solutions). Hands-on familiarity with tools like Databricks, Python, and SaaS analytics environments. Experience working within a CTO or principal engineering team to translate complex technical concepts into language understood by functional users. Strong stakeholder management - able to More ❯