1 to 25 of 32 Databricks Jobs in Nottingham

Developing foundational coding skills in Python and SQL to work with and manipulate data Gaining hands-on experience with modern data platforms like Snowflake , Databricks , and BigQuery Exploring cloud services such as AWS , Azure , or Google Cloud Platform (GCP) and their associated tools (e.g., Glue, Lambda, BigQuery, etc.) Being introduced More ❯

will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions to ingest, store, and transform large datasets, ensuring data quality and availability. Writing clean, efficient, and reusable Python code More ❯

and Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud More ❯

engineering tools (SQL, Python, Spark). Hands-on experience with cloud platforms (Azure, AWS, GCP). Hands-on experience with data platforms (Azure Synapse, Databricks, Snowflake). Ability to translate clients' business needs into technical solutions. Ability to attend & contribute to keynote talks & events. Customer engagement and relationship management skills. More ❯

warehouses, Business Intelligence/Management Information or ML and AI solutions Experience developing large scale data engineering solutions in Microsoft Azure cloud technologies (preferably Databricks too) ‘Hands on’ experience of data engineering within an analytics environment. Expert knowledge of one or more data languages including SQL, Python and Spark. Experience More ❯

systems Qualifications & Skills: x5 + experience with Python programming for data engineering tasks Strong proficiency in SQL and database management Hands-on experience with Databricks and Apache Spark Familiarity with Azure cloud platform and related services Knowledge of data security best practices and compliance standards Excellent problem-solving and communication More ❯

role. Strong SQL skills with relational and NoSQL databases. Demonstrated experience with data pipeline and ETL tools (e.g., Azure Data Factory, Azure Logic Apps, Databricks, APIs). Understanding of different data environments (Data Lakes, Synapse, Delta Lakes). Proficiency in programming languages such as Python, Java, or Scala. Sound knowledge More ❯

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 More ❯

these values while continuously developing your skills and knowledge. This is a brand new and exciting position, offering a unique opportunity to work with Databricks, a leading platform in data engineering, you'll be given the chance to shape our data capabilities and grow within the business. The role of More ❯

challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and pipelines More ❯

environment Extensive experience with SQL queries, performance, and investigative processes Experience with data warehousing and data lake solutions Familiarity with ETL processes and tools Databricks experience being advantageous Soft Skills Strong communication skills, able to clearly articulate status, risks and issues within the squad and with senior stakeholders Values the More ❯

Extensive experience with SQL queries, performance tuning, and investigative processes. Experience with data warehousing and data lake solutions. Familiarity with ETL processes and tools. Databricks experience is advantageous. Soft Skills Strong communication skills for articulating status, risks, and issues. Valuing teamwork and experience working remotely in a multi-disciplinary team More ❯

environment Extensive experience with SQL queries, performance, and investigative processes Experience with data warehousing and data lake solutions Familiarity with ETL processes and tools Databricks experience being advantageous SOFT SKILLS Strong communication skills, able to clearly articulate status, risks and issues within the squad and with senior stakeholders Values the More ❯

an agile environment. Excellent knowledge of SQL. Experience of data warehousing and data lake solutions. Good knowledge of ETL processes and tools. Knowledge of databricks an advantage. This is an excellent opportunity to join a company as it continues to grow and expand its data team. In this lead role More ❯

the essential skills or experience needed to succeed in this role. In-depth Azure knowledge and experience for data platform related technologies Experience with Databricks or equivalent cloud data tooling In-depth experience in design and development of IT and data solutions A broad and balanced understanding of IT capabilities More ❯

on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing jobs. 4+ years of applied research or industry experience. Creative problem-solver with a More ❯

and optimize data models, warehouse solutions, and ETL processes. Work with Scala, Spark, and Java to handle large-scale data processing. Contribute to manual Databricks-like data processing solutions. Requirements: Minimum of 4 years of experience with Scala, Spark, and Java. Strong technical skills and a passion for working with More ❯

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. More ❯

to play a key role in delivering the next phase of a business-critical data programme. You'll apply your technical expertise across Azure Databricks, Data Factory, Azure SQL, and SQL Server, contributing directly to the integration of financial data into a new Azure Data Platform. Responsibilities: Design, build and … optimise scalable data solutions using Azure cloud technologies. Lead the development of data pipelines in Azure Databricks, Data Factory, and T-SQL. Provide senior-level technical direction to onshore and offshore development teams. Translate data requirements into effective data engineering solutions. Collaborate closely with business stakeholders to ensure alignment with … Plan and manage progress in Agile sprints alongside project managers and scrum masters. Requirements: Extensive experience in Azure data engineering, with strong expertise in Databricks, Azure SQL, and Data Factory. Deep technical knowledge of SQL Server including stored procedures and complex data transformation logic. Proven experience in designing and delivering More ❯

Job Description Join our client in embarking on an ambitious data transformation journey using Databricks, guided by best practice data governance and architectural principles. To support this, we are recruiting talented data engineers. As a major UK energy provider, our client is committed to 100% renewable energy and sustainability, focusing … in their Nottingham office, negotiable. It is a full-time role, 37 hours per week. Accountabilities: Develop and maintain scalable, efficient data pipelines within Databricks, evolving them as requirements and technologies change. Build and manage an enterprise data model within Databricks. Integrate new data sources into the platform using batch … with Python, including advanced concepts like decorators, protocols, functools, context managers, and comprehensions. Strong understanding of SQL, database design, and data architecture. Experience with Databricks and/or Spark. Knowledge of data governance, data cataloguing, data quality principles, and related tools. Skilled in data extraction, joining, and aggregation tasks, especially More ❯

Social network you want to login/join with: Software Tech Lead - Python, Databricks, Cloud, Nottingham Client: IC Resources Location: Nottingham, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 2 Posted: 04.06.2025 Expiry Date: 19.07.2025 Job Description: My client is a successful and fast-growing data … Responsibility for architecture and technical solutions Strategic planning and project execution aligned with company objectives Extensive hands-on software engineering experience, primarily with Python, Databricks, AWS, Azure Experience within data analytics/data intelligence organizations is preferred Designing, building, and supporting cloud infrastructure Understanding of cloud networking concepts and patterns More ❯

Join our client in embarking on an ambitious data transformation journey using Databricks, guided by best practice data governance and architectural principles. To support this, we are recruiting for talented data engineers. As a major UK energy provider, our client is committed to 100% renewable energy and sustainability, focusing on … Nottingham office, this is negotiable. It is a full-time role, 37 hours per week. Accountabilities: * Develop and maintain scalable, efficient data pipelines within Databricks, continuously evolving them as requirements and technologies change. * Build and manage an enterprise data model within Databricks. * Integrate new data sources into the platform using … Python preferred, including advanced concepts like decorators, protocols, functools, context managers, and comprehensions. * Strong understanding of SQL, database design, and data architecture. * Experience with Databricks and/or Spark. * Knowledgeable in data governance, data cataloguing, data quality principles, and related tools. * Skilled in data extraction, joining, and aggregation tasks, especially More ❯

time left to apply End Date: January 6, 2025 (11 days left to apply) job requisition id JR102254 Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating More ❯

Description: You will provide expert-level troubleshooting, root cause analysis, and performance optimisation for data platforms, such as Azure SQL databases, Fabric Warehouse, Onelake, Databricks, and Azure Data Factory. Purview or another MDM tool is highly desirable. Skills/experience Bachelor’s degree in Information Technology, Computer Science, Data Management … data management capabilities. Provide expert-level troubleshooting, root cause analysis, and performance optimisation for data platforms, such as Azure SQL databases, Fabric Warehouse, Onelake, Databricks, and Azure Data Factory. Document technical solutions, best practices, and knowledge base articles to facilitate effective knowledge transfer and continuous improvement. Diagnose and resolve data More ❯

experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark … spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools #J-18808-Ljbffr More ❯