226 to 250 of 647 Permanent Databricks Jobs

collaborative, forward-thinking culture where engineers work on large-scale datasets, distributed systems, and modern cloud platforms. Teams leverage cutting-edge tools such as Spark, Airflow, Kafka, dbt, and Databricks to build resilient, scalable, and high-quality data solutions. Why this role? ** Lead a talented team of data engineers delivering high-quality, reliable data systems. ** Shape the architecture and delivery More ❯

collaborative, forward-thinking culture where engineers work on large-scale datasets, distributed systems, and modern cloud platforms. Teams leverage cutting-edge tools such as Spark, Airflow, Kafka, dbt, and Databricks to build resilient, scalable, and high-quality data solutions. Why this role? ** Lead a talented team of data engineers delivering high-quality, reliable data systems. ** Shape the architecture and delivery More ❯

We're seeking highly skilled BI Developers with Power BI & Databricks experience, to join a global London Market Insurance Company. We’re looking for a BI Developer who’s passionate about turning data into stories that drive results. You’ll use your SQL and Power BI expertise to build insightful dashboards and reports, working hand-in-hand with teams across More ❯

passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems If you’re interested, get in touch ASAP with a copy of your most recent and up-to-date CV and More ❯

passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems If you’re interested, get in touch ASAP with a copy of your most recent and up-to-date CV and More ❯

of software and application design and architecture Expert in at least one major technology stack, able to work across multiple stacks (e.g., Java SpringBoot on AWS, Python on Azure, Databricks) and eager to learn new technologies Enthusiasm for technology and staying current with trends Ability to translate client needs and business vision into technical solutions Excellent stakeholder management and ability More ❯

and system interoperability. Key responsibilities include: Maintaining stable IT operations and providing hands-on support during peak periods. Acting as technical owner for enterprise data platforms (e.g., Microsoft Fabric, Databricks, Power BI). Designing and implementing secure integration flows using iPaaS tools (Azure Integration Services, Boomi, MuleSoft). Enabling self-service analytics and ensuring data security and governance. Collaborating with More ❯

cloud architecture, data lakes, and data pipeline design. Proven experience commercially leveraging AI to drive business outcomes. Broad technical expertise across digital, security, data, and application architectures. Experience with Databricks or Snowflake would be preferred. Experience with AWS Glue or AWS Athena would be advantageous. Confident stakeholder management and communication skills at all levels. Leadership capability within Agile or scaled More ❯

CD. In depth knowledge of current and emerging Data and BI solutions for Data Warehouse and Lake House solutions in the Microsoft technology stack and other technologies such as Databricks, Snowflake, etc. Good knowledge of Data Governance principles and frameworks and Data Management capabilities. Strong experience in architecting and maintaining scalable, reusable reporting architectures to drive consistency and improve efficiency More ❯

cloud architecture, data lakes, and data pipeline design. Proven experience commercially leveraging AI to drive business outcomes. Broad technical expertise across digital, security, data, and application architectures. Experience with Databricks or Snowflake would be preferred. Experience with AWS Glue or AWS Athena would be advantageous. Confident stakeholder management and communication skills at all levels. Leadership capability within Agile or scaled More ❯

more accessible across the business. Collaborate closely with Finance and Commercial teams, an analytical mindset with finance or business analysis experience is a plus. About You Exposure to Snowflake, Databricks, or BigQuery, preferably Snowflake, with the ability to query these systems directly. Understanding of modern data architecture concepts including the medallion architecture, staged data from external sources, event streaming principles More ❯

and enterprise data architecture. Proficiency with modern data modeling tools (e.g., ER/Studio, Erwin, UML, Microsoft Visio, Lucid). Experience with cloud data platforms, particularly Microsoft Azure and Databricks, for data integration and analytics. Experience working with ERP and CRM systems. Understanding of data governance, metadata management, data lineage, and MDM strategies. Excellent communication skills, with the ability to More ❯

in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Knowledge and experience with Python Knowledge and experience with Data Lakehouse Platforms (e.g. Databricks) Practical experience of designing and deploying applications on AWS Practical cloud native experience ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to More ❯

and planning, through deployment to ongoing support and maintenance. Why should you work at Microsoft Business Group? Multi Award Winning Business Official and Award-Winning Microsoft Partner Award Winning Databricks Partner Official GitHub Partner Cloud Native Organisation Growing International and Diverse teams Hugely collaborative environment, where ideas and knowledge sharing are actively encouraged Private Medical Insurance Employee Assistance Program Income More ❯

end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including exposing and consuming data via APIs, streams, and webhooks. Good understanding of More ❯

end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including exposing and consuming data via APIs, streams, and webhooks. Good understanding of More ❯

the full potential of their data, reducing costs, mitigating risk, and uncovering new revenue opportunities through cutting-edge solutions and world-class talent. Working with major technology partners including Databricks, Snowflake, and Collibra, they deliver projects that revolutionise how data is used across sectors such as financial services, pharmaceuticals, energy, retail, healthcare, and manufacturing. The Role: Data Engineer (Databricks) We … are seeking an experienced Data Engineer with strong expertise in Databricks , Apache Spark, Delta Lake, Python, and SQL to take a lead role in delivering innovative data projects. You will design and build scalable, cloud-based data pipelines on platforms such as AWS, Azure, or GCP, and provide technical leadership within delivery squads. Working closely with both clients and internal … teams, you’ll translate business requirements into powerful, production-grade data solutions. Key Responsibilities: Design, build, and optimise large-scale data pipelines using Databricks and Spark. Implement and maintain Delta Lake architectures and data governance best practices. Deliver end-to-end solutions across cloud platforms (AWS, Azure, or GCP). Provide technical leadership and mentor junior engineers within project teams. More ❯

Overview: We are seeking a highly skilled and experienced Senior Data Engineer with a minimum of 5 years working with Databricks and Lakehouse architecture to join our team in the consumer finance industry. The successful candidate will play a critical role in mapping requirements, designing, implementing, and maintaining scalable data solutions, and will ensure seamless integration and operation of CI …/CD pipelines. Key Responsibilities: Design, develop, and optimize robust data architectures using Databricks and Lakehouse principles to support large-scale and complex data analytics needs. Implement and maintain CI/CD pipelines to ensure continuous integration and delivery of data solutions, ensuring data quality and operational efficiency. Collaborate with cross-functional teams (ideally Finance) to understand data requirements, map … years of professional experience as a Data Engineer or in a similar role within the finance industry, demonstrating experience of working with consumer finance data models. Proficient in using Databricks for data engineering and analytics. Strong experience with Lakehouse architecture and its optimization. Highly proficient in programming languages such as Python Demonstrable expertise in implementing and managing CI/CD More ❯

the value of our data, driving insights that support investment decisions, client reporting, and operational efficiency. The ideal candidate will combine strong technical/Data Engineering skills — particularly with Databricks — with a financial services (insurance, pensions or asset management preferred) environment. Key Responsibilities Develop, maintain, and optimise BI solutions using Databricks and other data tools. Collaborate with investment, risk, and … create integrated analytical views. Contribute to the development of a modern data platform supporting advanced analytics and machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI More ❯

the value of our data, driving insights that support investment decisions, client reporting, and operational efficiency. The ideal candidate will combine strong technical/Data Engineering skills — particularly with Databricks — with a financial services (insurance, pensions or asset management preferred) environment. Key Responsibilities Develop, maintain, and optimise BI solutions using Databricks and other data tools. Collaborate with investment, risk, and … create integrated analytical views. Contribute to the development of a modern data platform supporting advanced analytics and machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI More ❯

Azure/Databricks Data Engineer x2 - UK Wide (Hybrid Working) £72,000-£80,000 Duties As a Databricks Data Engineer with an Azure focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data … lakehouses, and AI/ML models that fuel our data-driven operations. Skills/Experience Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices … to ensure reliable and accurate data. Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability. Collaborate with cross-functional teams: Work closely with More ❯

Lead Data Engineer (Databricks) - Leeds (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer) Our client … is a global innovator and world leader with one of the most recognisable names within technology. They are looking for a Lead Data Engineer with significant Databricks experience as well as leadership responsibility to run an exceptional Agile engineering team and provide technical leadership through coaching and mentorship. We are seeking a Lead Data Engineer capable of leading client delivery … data solutions and developing complex enterprise data ETL and ML pipelines and projections. The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No-SQL - Aurora, MS SQL Server, MySQL is expected, as well More ❯

Data Engineer (Azure & Databricks) Location: London (Hybrid - 2 days in office) Salary: £65,000 + Benefits Level: Mid-Level About the Role: We're looking for a talented Data Engineer to join a leading consultancy and work on cutting-edge data solutions for global clients. You'll design and build scalable data pipelines using Azure and Databricks, ensuring high-quality … reliable data delivery for advanced analytics and AI initiatives. Key Responsibilities: Develop and optimize data pipelines on Azure and Databricks Collaborate with data scientists and analysts to deliver actionable insights Implement best practices for data governance and security Work in a hybrid setup (2 days per week in our London office) What We're Looking For: Strong experience with Azure … Data Services (Data Factory, Synapse, etc.) Hands-on expertise with Databricks and Python Solid understanding of ETL processes and data modelling Excellent problem-solving and communication skills Benefits: Work on high-impact projects with top-tier clients Competitive salary of £65,000 plus benefits Hybrid flexibility and career development opportunities Upskilling opportunities through paid for certifications If you are a More ❯

Data Engineer (Azure & Databricks) Location: London (Hybrid - 2 days in office) Salary: £65,000 + Benefits Level: Mid-Level About the Role: We're looking for a talented Data Engineer to join a leading consultancy and work on cutting-edge data solutions for global clients. You'll design and build scalable data pipelines using Azure and Databricks, ensuring high-quality … reliable data delivery for advanced analytics and AI initiatives. Key Responsibilities: Develop and optimize data pipelines on Azure and Databricks Collaborate with data scientists and analysts to deliver actionable insights Implement best practices for data governance and security Work in a hybrid setup (2 days per week in our London office) What We're Looking For: Strong experience with Azure … Data Services (Data Factory, Synapse, etc.) Hands-on expertise with Databricks and Python Solid understanding of ETL processes and data modelling Excellent problem-solving and communication skills Benefits: Work on high-impact projects with top-tier clients Competitive salary of £65,000 plus benefits Hybrid flexibility and career development opportunities Upskilling opportunities through paid for certifications If you are a More ❯

Data Engineer (Databricks) Location: London (Hybrid - 2 days onsite and 3 days from home ) Type: Permanent Note: No sponsorship available Represented by: Robert Half Limited Our client is a fast-growing tech business building a modern data platform. They're looking for a Data Engineer with strong Databricks skills to design, build, and optimise scalable data pipelines and models that … power analytics across the company. Key Skills: 3-5+ years as a Data Engineer Hands-on with Databricks, Spark, Python, SQL Cloud experience (Azure, AWS, or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You'll: Build and optimise ETL pipelines Enable analytics and More ❯