551 to 575 of 864 Databricks Jobs in England

or platform teams in a production environment Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Familiarity with data warehousing, ETL/ELT processes, and analytics engineering Programming proficiency in Python, Scala or Java Experience operating in a cloud-native environment (e.g. AWS More ❯

or platform teams in a production environment Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Familiarity with data warehousing, ETL/ELT processes, and analytics engineering Programming proficiency in Python, Scala or Java Experience operating in a cloud-native environment (e.g. AWS More ❯

insurance, particularly in underwriting and claims. Apply natural language processing (NLP) for tasks like document classification and information extraction using OCR. Utilize cloud-based platforms like AWS SageMaker and Databricks for scalable model training and deployment. My client is providing access to; Hybrid 2 days (London), 28 Days Holiday, Plus Bank Holiday Private Medical Health Pension Scheme And More... This More ❯

insurance, particularly in underwriting and claims. Apply natural language processing (NLP) for tasks like document classification and information extraction using OCR. Utilize cloud-based platforms like AWS SageMaker and Databricks for scalable model training and deployment. My client is providing access to; Hybrid 2 days (London), 28 Days Holiday, Plus Bank Holiday Private Medical Health Pension Scheme And More... This More ❯

looking for: Strong hands-on experience with Python in a data context Proven skills in SQL Experience with Data Warehousing (DWH) ideally with Snowflake or similar cloud data platforms (Databricks or Redshift) Experience with DBT, Kafka, Airflow, and modern ELT/ETL frameworks Familiarity with data visualisation tools like Sisense, Looker, or Tableau Solid understanding of data architecture, transformation workflows More ❯

looking for: Strong hands-on experience with Python in a data context Proven skills in SQL Experience with Data Warehousing (DWH) ideally with Snowflake or similar cloud data platforms (Databricks or Redshift) Experience with DBT, Kafka, Airflow, and modern ELT/ETL frameworks Familiarity with data visualisation tools like Sisense, Looker, or Tableau Solid understanding of data architecture, transformation workflows More ❯

insurance, particularly in underwriting and claims. Apply natural language processing (NLP) for tasks like document classification and information extraction using OCR. Utilize cloud-based platforms like AWS SageMaker and Databricks for scalable model training and deployment. My client is providing access to; Hybrid 2 days (London), 28 Days Holiday, Plus Bank Holiday Private Medical Health Pension Scheme And More... This More ❯

in this role, you'll bring a blend of strong technical expertise and people leadership. We're looking for someone with experience in: Microsoft Azure Data services (Data Factory, Databricks, Azure SQL, Synapse) SQL, NoSQL, and API-based data pipelines Agile methodologies such as SCRUM or Kanban Leading engineering teams in complex environments Translating business needs into scalable data architecture More ❯

or platform teams at scale, ideally in consumer-facing or marketplace environments. Strong knowledge of distributed systems and modern data ecosystems, with hands-on experience using technologies such as Databricks, Apache Spark, Apache Kafka, and DBT. Proven success in building and managing data platforms supporting both batch and real-time processing architectures. Deep understanding of data warehousing, ETL/ELT More ❯

and more. Technical Requirements: Advanced proficiency in Python and modern software engineering practices. Experience architecting solutions using major cloud platforms (Azure, AWS, GCP). Familiarity with technologies such as Databricks, Airflow, dbt, Snowflake, GitHub CI/CD, and infrastructure-as-code. Strong background across at least several of the following areas: Cloud Engineering, Data Platform Architecture, DevOps, MLOps/LLMOps. More ❯

if it’s in CPG, retail, or health) Line management experience Passion for engineering & strong track record of delivering data-driven solutions that stick Hands-on experience with AzureML, Databricks, MLOps frameworks & CI/CD A strategic, problem-solving mindset and effective communication skills A passion for collaboration, coaching, and continuous learning 🎁 What you’ll get: Hybrid working + competitive More ❯

if it’s in CPG, retail, or health) Line management experience Passion for engineering & strong track record of delivering data-driven solutions that stick Hands-on experience with AzureML, Databricks, MLOps frameworks & CI/CD A strategic, problem-solving mindset and effective communication skills A passion for collaboration, coaching, and continuous learning 🎁 What you’ll get: Hybrid working + competitive More ❯

knowledge of data modeling, warehousing, and big data platforms. Skilled communicator and team collaborator. Background in financial services, especially credit or lending data, is advantageous. Familiarity with platforms like Databricks, Snowflake, or Redshift. More ❯

knowledge of data modeling, warehousing, and big data platforms. Skilled communicator and team collaborator. Background in financial services, especially credit or lending data, is advantageous. Familiarity with platforms like Databricks, Snowflake, or Redshift. More ❯

with engineering workflows like CI/CD and containerised environments Skilled at working with both structured and unstructured data to unlock insights and power models Hands-on experience with Databricks, Apache Spark, or similar tools used in large-scale data processing Exposure to machine learning model deployment using APIs or lightweight serving frameworks like Flask or Keras Familiarity with geospatial More ❯

with engineering workflows like CI/CD and containerised environments Skilled at working with both structured and unstructured data to unlock insights and power models Hands-on experience with Databricks, Apache Spark, or similar tools used in large-scale data processing Exposure to machine learning model deployment using APIs or lightweight serving frameworks like Flask or Keras Familiarity with geospatial More ❯

knowledge of data modeling, warehousing, and big data platforms. Skilled communicator and team collaborator. Background in financial services, especially credit or lending data, is advantageous. Familiarity with platforms like Databricks, Snowflake, or Redshift. More ❯

SDLC Penetration testing knowledge (useful) Familiarity with Cloud Development Kit (CDK), GitOps Experience in DevOps/agile environments Docker, Kubernetes, serverless, Helm Platforms like Snowflake, MongoDB, Terraform Cloud, GitHub, Databricks Analytical skills, attention to detail Research using vendor documentation Documentation skills Adversary mindset Continuous learning Problem-solving skills Communication and collaboration skills Relationship building across teams Set Yourself Apart With More ❯

finance, or data science. Statistical Modelling Expertise: Real-world commercial experience in statistical modelling and probability. Programming Skills: Proficiency in scientific Python (essential), Spark, CUDA, and SQL. Familiarity with Databricks is a plus! Problem Solver: Strong analytical skills with the ability to work independently and collaboratively. Communication Skills: Ability to present complex technical information to non-technical audiences. Educational Background More ❯

finance, or data science. Statistical Modelling Expertise: Real-world commercial experience in statistical modelling and probability. Programming Skills: Proficiency in scientific Python (essential), Spark, CUDA, and SQL. Familiarity with Databricks is a plus! Problem Solver: Strong analytical skills with the ability to work independently and collaboratively. Communication Skills: Ability to present complex technical information to non-technical audiences. Educational Background More ❯

scalability, and reliability Experience in AWS or other cloud technologies Excellent interpersonal and communication skills What puts you over the top: Experience in data processing solutions using Big Data, Databricks Experience with web debugging using Chrome Dev Tools or similar browser debugging tools Experience in cloud systems preferably AWS. Distributed services - docker containers, kubernetes Knowledge of Python, Scala, or Golang. More ❯

effectively and meet deadlines. Interpersonal and communication skills (both verbal and written) Confluence and Jira knowledge. Implement Application related critical alerts and create a relevant response document. Skills azure databricks data pipelines azure cloud api's sql python incident management ITIL processes mysql Application support Job Title: Application Support Analyst Location: London, UK Rate/Salary: .00 GBP Yearly Job More ❯

record of building and scaling data teams and capabilities in a global context. Deep understanding of data architecture, data warehousing, and modern analytics platforms (e.g., Snowflake, Power BI, Tableau, Databricks). Hands-on experience with Microsoft Data Factory, Azure Data Lake, and Microsoft Fabric. Strong knowledge of data governance, privacy regulations (e.g., GDPR), and data lifecycle management. Excellent communication and More ❯

SaaS operating models & data models. Ability to drive cross-functional collaboration and leadership engagement. Data-driven mindset with proficiency in reporting, dashboard and data management tools (e.g. Salesforce, PowerBI, DataBricks, Funnel.io) Benefits When you join Exclaimer, we offer the opportunity to grow with a thriving, international SaaS company. Alongside a competitive compensation package, you'll have access to a range More ❯

two years experience in data engineering/analytical engineering Can build and maintain robust data pipelines with limited guidance Has experience with working with data warehouses such as Snowflake, Databricks or BigQuery Proficient with using SQL and dbt to transform and model data Has experience with configuring data dashboards such as Tableau, Looker, PowerBi (or similar) Is already London-based More ❯