251 to 275 of 647 Permanent Databricks Jobs

modernise and transition to the cloud. Key skills: Strong SQL Server expertise (performance tuning, data modelling) Solid Python development experience Knowledge of DevOps (Azure DevOps, Git, PowerShell) Bonus: Snowflake, Databricks, Docker, .NET More ❯

modernise and transition to the cloud. Key skills: Strong SQL Server expertise (performance tuning, data modelling) Solid Python development experience Knowledge of DevOps (Azure DevOps, Git, PowerShell) Bonus: Snowflake, Databricks, Docker, .NET More ❯

operate across multiple industries from financial services to pharmaceuticals. The right person will have at least 5 years experience as a Data Engineer within a cloud environment. Expertise in Databricks and advanced python and SQL skills. In addition, experience with CI/CD and automated testing. This will be a hybrid role with 2-3 days per week in their More ❯

operate across multiple industries from financial services to pharmaceuticals. The right person will have at least 5 years experience as a Data Engineer within a cloud environment. Expertise in Databricks and advanced python and SQL skills. In addition, experience with CI/CD and automated testing. This will be a hybrid role with 2-3 days per week in their More ❯

APIs. Proficiency with Kafka and distributed streaming systems. Solid understanding of SQL and data modeling. Experience with containerization (Docker) and orchestration (Kubernetes). Working knowledge of Flink, Spark, or Databricks for data processing. Familiarity with AWS services (ECS, EKS, S3, Lambda, etc.). Basic scripting in Python for automation or data manipulation. More ❯

to translate needs into scalable solutions What you bring: Deep experience with Microsoft Azure , particularly around data services Proven track record delivering with tools such as Fabric , Synapse , or Databricks Proficiency in SQL, Python, and modern data engineering patterns Leadership experience within engineering or delivery teams A consultancy mindset - adaptable, curious, and client focused Location & Flexibility: Primarily remote, with periodic More ❯

to translate needs into scalable solutions What you bring: Deep experience with Microsoft Azure , particularly around data services Proven track record delivering with tools such as Fabric , Synapse , or Databricks Proficiency in SQL, Python, and modern data engineering patterns Leadership experience within engineering or delivery teams A consultancy mindset - adaptable, curious, and client focused Location & Flexibility: Primarily remote, with periodic More ❯

applied statistics and machine learning Proficiency in Python and ML libraries (e.g. pandas, numpy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks Experience with ML Ops, including deployment and monitoring Ability to work cross-functionally with marketing, CRM, and engineering teams Excellent communication skills Experience in a global or multi-regional context More ❯

support the modernization of a risk platform. The role involves designing and optimizing reusable framework components that enable scalable, high-performance applications in Azure cloud environments, utilizing cluster computing, Databricks, and Kubernetes technologies. Core expertise and responsibilities: Responsibilities include applying knowledge in observability, orchestration, streaming data, and data harmonization across multiple sources and formats to develop and maintain framework components More ❯

tools such as Power BI and business intelligence dashboards Familiarity with integration tools like AIS and SAP BTP Knowledge of Azure Synapse, Data Lakes, Data Warehouse, SQL Server, and Databricks If this sounds of interest, please apply. More ❯

PySpark Exposure to generative AI platforms or a passion for building AI-powered solutions Ability to lead client delivery in dynamic, fast-paced environments Familiarity with tools like Airflow, Databricks or DBT is a plus What’s on offer: Salary up to £75,000 Bonus and equity options Hybrid working: 3 days in a vibrant central London office, 2 days More ❯

PySpark Exposure to generative AI platforms or a passion for building AI-powered solutions Ability to lead client delivery in dynamic, fast-paced environments Familiarity with tools like Airflow, Databricks or DBT is a plus What's on offer: Salary up to £75,000 Bonus and equity options Hybrid working: 3 days in a vibrant central London office, 2 days More ❯

PySpark Exposure to generative AI platforms or a passion for building AI-powered solutions Ability to lead client delivery in dynamic, fast-paced environments Familiarity with tools like Airflow, Databricks or DBT is a plus What's on offer: Salary up to £75,000 Bonus and equity options Hybrid working: 3 days in a vibrant central London office, 2 days More ❯

lead a high-performing team that’s driving change across the business.To succeed in this role, you’ll bring hands-on experience owning and delivering Azure-based data platforms (Databricks, Synapse), alongside strong technical capability in designing and implementing data ingestion pipelines (ETL/ELT) and introducing event-driven architectures (Kafka) to support scalable, real-time solutions.Our client offers a More ❯

lead a high-performing team that’s driving change across the business.To succeed in this role, you’ll bring hands-on experience owning and delivering Azure-based data platforms (Databricks, Synapse), alongside strong technical capability in designing and implementing data ingestion pipelines (ETL/ELT) and introducing event-driven architectures (Kafka) to support scalable, real-time solutions.Our client offers a More ❯

using Azure but experience with AWS or GCP is fine You have experience of working with data at scale You have strong SQL skills (PostgreSQL, SQL Server and ideally Databricks, or happy to learn it) You have a thorough knowledge of Computer Science fundamentals including Data Structures, Design Patterns, OOP You're collaborative and pragmatic with great communication skills Apply More ❯

using Azure but experience with AWS or GCP is fine You have experience of working with data at scale You have strong SQL skills (PostgreSQL, SQL Server and ideally Databricks, or happy to learn it) You have a thorough knowledge of Computer Science fundamentals including Data Structures, Design Patterns, OOP You're collaborative and pragmatic with great communication skills Apply More ❯

OUR BENEFITS: Private medical insurance Life insurance Share options Exciting growth opportunities And More.. DATA SOFTWARE ENGINEER – ESSTENTIAL SKILLS • Strong foundation in Python • Hands-on experience with Spark or Databricks • Ability to lead projects autonomously and prioritise effectively • Experience developing bespoke software components for data pipelines • Familiarity with cloud-based architectures (e.g. AWS) • Experience working with large-scale relational databases More ❯

OUR BENEFITS: Private medical insurance Life insurance Share options Exciting growth opportunities And More.. DATA SOFTWARE ENGINEER – ESSTENTIAL SKILLS • Strong foundation in Python • Hands-on experience with Spark or Databricks • Ability to lead projects autonomously and prioritise effectively • Experience developing bespoke software components for data pipelines • Familiarity with cloud-based architectures (e.g. AWS) • Experience working with large-scale relational databases More ❯

product managers to bring innovative AI ideas to life. What you'll need Strong experience with RAG architectures or similar retrieval-based AI systems Hands on knowledge of Azure (Databricks) , Python , and SQL A passion for building intelligent systems that drive tangible results Curiosity and creativity to explore new technologies and stay ahead of the curve What's on offer More ❯

stages. You will focus on evolving data requirements, supporting new market rollouts, and ensuring high-quality data ingestion and aggregation across diverse user journeys. Responsibilities Strong experience with PySpark , Databricks , and advanced SQL skills. Solid understanding of Azure cloud services and Azure Data Factory for testing and monitoring. Knowledge of Customer Data Platforms (CDP) , ideally Treasure Data . Familiarity with More ❯

background in RPA and process automation tools (e.g., ScriptRunner). Experience managing cloud environments and service providers (AWS, Azure), as well as BI and data platforms (e.g., Tableau, Cognos, Databricks). Familiarity with enterprise collaboration platforms (Slack, Teams, Google Workspace). Demonstrated ability to lead cross-functional and geographically distributed teams effectively. More ❯

background in RPA and process automation tools (e.g., ScriptRunner). Experience managing cloud environments and service providers (AWS, Azure), as well as BI and data platforms (e.g., Tableau, Cognos, Databricks). Familiarity with enterprise collaboration platforms (Slack, Teams, Google Workspace). Demonstrated ability to lead cross-functional and geographically distributed teams effectively. More ❯

Commercial mindset - able to translate technical solutions into business impact, spotting opportunities others might miss. Energy & curiosity - proactive, problem-seeking, and solutions-focused. The Tech (Flexible) Current stack: R, Databricks, SQL Open to Python and other modern tools - what matters is results. What You’ll Get c£75,000 salary (with some flex for the right person) High visibility and More ❯

Camunda). Proficiency in CI/CD pipelines (Jenkins), version control (GitHub/GitLab/BitBucket), backend/frontend frameworks (Spring Boot, Angular, React), cloud and data platforms (Azure Databricks, Data Lake), monitoring, logging, and test automation tools to deliver high-quality, scalable, and secure software solutions. This is an excellent opportunity for someone to lead and shape the engineering More ❯