6 of 6 Databricks Jobs in Surrey

challenges. Culture builder, driving continuous improvement and operational excellence. Deep expertise in data compliance frameworks, cost management, and platform optimisation. Strong hands-on experience with modern cloud data warehouses (Databricks, Snowflake, AWS), SQL, Spark, Airflow, Terraform. Advanced Python skills with orchestration tooling; solid experience in CI/CD (Git, Jenkins). Proven track record in data modelling, batch/real More ❯

Skilled in team collaboration and exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme More ❯

and backend development experience, with exposure to Blazor, React, or similar frameworks a plus. Hands-on experience with Azure services (Kubernetes, Event Grid, Service Bus, Functions, SQL, Data Factory, Databricks, AML). Experience building high-throughput, high-availability, multi-tenant solutions. Excellent communication and collaboration skills, with the ability to inspire and mentor a hybrid development team. Customer-facing experience More ❯

and model development. Engineer data for optimal AI application performance. Advise peers and senior management on business and customer impact. Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL. Liaise with third-party partners and stay updated on field advancements and regulations. Collaborate with data governance and data management teams on … of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity with Databricks, and RAG application architecture a plus Experience with latency optimisation and quantisation preferred Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. More ❯

practices. Collaborate with DevOps and Data Engineers to productionise and deploy machine-learning models into our AWS cloud infrastructure. Write production-grade code in Python, demonstrating CI/CD, Databricks and ensuring appropriate test coverage. Qualifications What we’d love you to bring: You are a self-starter with experience in delivering research + models to production to drive tangible … and version control, e.g., Git. Knowledge of OO programming, software design, i.e., SOLID principles, and testing practices. Knowledge and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark, geospatial data/modelling Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. are a plus. Additional Information What’s More ❯

data products that enable self-service analytics, advanced modelling, and AI-driven decision-making across our insurance business. What you’ll do: Design and manage scalable cloud data platforms (Databricks on AWS) across development, staging, and production environments, ensuring reliable performance and cost efficiency. Integrate and model data from diverse sources – including warehouses, APIs, marketing platforms, and operational systems – using … and Delta Live Tables Strong background in building high-performance, scalable data models that support self-service BI and regulatory reporting requirements Direct exposure to cloud-native data infrastructures (Databricks, Snowflake) especially in AWS environments is a plus Experience in building and maintaining batch and streaming data pipelines using Kafka, Airflow, or Spark Familiarity with governance frameworks, access controls (RBAC More ❯