301 to 325 of 672 Permanent Databricks Jobs

machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager ...

complex mission requirements into things that ship - Lead engineering teams through implementation - Shape long-term architectural strategy and capability **The environment** AWS, Azure, GCP · Databricks, Snowflake · lake, lakehouse and modern warehouse patterns · distributed processing · DevOps, IaC, secure deployment · governance, access control, analytics enablement **What we need** - Active DV clearance - Track ...

Implement Data Solutions**:o Design & Build scalable pipelines (Batch and real-time) using cloud-native tools/frameworks (DIHOP, DIHOC, AWS Glue, DBT, Snowflake, Databricks).o Apply architectural patterns for data lakes, streaming, and batch processing.o Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka.**Technical POCs ...

cloud-first environments Proven track record leading end-to-end technical delivery across complex, multi-stream client engagements Deep expertise in Azure data services, Databricks, distributed processing frameworks, and modern data architectures Strong commercial awareness with the ability to align technical solutions to measurable business outcomes Experience leading client workshops ...

Platform, UiPath, Blue Prism, Automation Anywhere) Understanding of AI technologies , including LLMs, Copilots, and Microsoft AI ecosystem Experience with data platforms (e.g. Microsoft Fabric, Databricks) Broad enterprise technology background (e.g. ServiceNow, CRM, ERP, cloud, infrastructure) Solid knowledge of Azure and cyber security frameworks (SIEM, XDR, NIST, ISO27001) Additional Information Location ...

responsible data practices Solid understanding of data engineering, pipelines, APIs, and scalable data platforms Experience in managing cloud-based infrastructure, ideally including Azure and Databricks Practical knowledge of machine learning and applied AI in business settings On Offer Up to £120,000 plus annual discretionary bonus Pension matched ...

Implement Data Solutions**:o Design & Build scalable pipelines (Batch and real-time) using cloud-native tools/frameworks (DIHOP, DIHOC, AWS Glue, DBT, Snowflake, Databricks).o Apply architectural patterns for data lakes, streaming, and batch processing.o Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka.**Technical POCs ...

Automation Large Language Models (LLMs) GPT, Claude and/or Gemini AI Agents Retrieval-Augmented Generation (RAG) Vector Databases LLM orchestration frameworks Data Databricks PostgreSQL MySQL DevSecOps CI/CD pipelines Secure coding practices Security scanning and dependency management tools Desirable Experience Financial Services experience Experience within regulated environments ...

supporting engineers in quality engineering best practices Bonus points if you also have; Knowledge of AI‐powered testing solutions Data and analytics platforms Azure, Databricks or cloud‐native applications Engineering quality metrics and standards LLM evaluation frameworks and AI testing techniques Some of our extras... Flexible Working Enjoy a hybrid ...

capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview Indicium AI are looking for an experienced AI & Data Delivery Manager ...

constructive mindset. Nice to have Startup or scale-up experience Energy, utilities, trading, sustainability, or fintech experience Data visualisation experience Experience working with Databricks or similar data platforms Experience using AI-assisted development tools Previous involvement in shaping engineering teams, standards, or architecture Why join A salary ...

organizations across industries including financial services, healthcare, retail, energy, aviation, and the public sector, and partner with leading technology providers such as Microsoft, Snowflake, Databricks, and Collibra. What sets us apart is how we build capabilities and careers. Through continuous learning, real-world experience, and a collaborative culture, we help ...

services into production. Strong Python and Java, both of which are in active use across the team's production services. Experience with Snowflake, Spark, Databricks or similar technologies, CI/CD pipelines, and modern DevOps tooling. Solid understanding of SecOps practices and security‐conscious system design. Demonstrable track record ...

apply: Proficiency in English, both written and spoken Strong stakeholder management, communication and presentation skills Team-oriented mindset with leadership abilities Familiarity with Databricks and SAC planning and predictive features advantegeous Project management certification beneficial Benefits - it's worth working at ELANTAS. Bike Leasing Company Events Company Health Management Flexible ...

people. Hands‐on cloud engineering You have built, deployed and operated systems using cloud primitives directly, not only through a data platform such as Databricks or Snowflake. Your experience might include object storage, containerised compute, batch jobs, queues, identity and permissions, networking, monitoring or infrastructure as code. ...

with common standards such as metrics and use of test tools Here's a snapshot of the technologies that we use: Scala Apache Spark Databricks Apache Parquet Azure Cloud Platform Azure DevOps (Test plans, Backlogs, Pipelines) GIT We'd love to hear from you if you have: Good experience ...

Technology Platforms across AI solutions (OpenAI, AWS, Palantir, Google, Microsoft), Cloud (Azure, AWS, Google), Supply Chain (O9, BlueYonder, Kinaxis), CRM (Dynamics, Salesforce), Data (Databricks, Snowflake), ERP (SAP S4) or others Set yourself apart Deep knowledge of one or more Products industry or sub‐sector with a clear architectural point ...

Experience with distributed computing frameworks (e.g., Spark or similar) and scalable data processing environments. Exposure to cloud-based platforms (e.g., AWS, Azure, GCP or Databricks) and modern ML/MLOps practices. Proven track record managing and growing high-performing data science teams, including technical mentoring and delivery accountability. Strong stakeholder ...

incentives, and AI/data collaborations. Lead co‐innovation blueprints and quick starts integrating our platform with the likes of Microsoft Azure, GCP, AWS, Databricks, Guidewire style decision systems, and GSI solution frameworks. Personally sponsor and govern the reference architecture, connector strategy, AI/data interop strategy, and workload optimization ...

insight with greater speed, trust, and ease. real-worldYou will work across a portfolio that includes analytics and BI platforms such as Looker, Tableau, Databricks, and AI-powered experiences. You will help define product direction, translate user needs into clear priorities, and partner closely with engineering, design, analytics, and stakeholders ...

Data & AI – Seen as a credible thought partner to CXOs, with strong understanding of Data, AI, Analytics and tech ecosystems (AWS, Azure, GCP, Databricks, Palantir), enabling articulation of value, limitations, and ROI while influencing strategic decisions and guiding Data & AI‐led transformation. EXL Differentiation – Position EXL as a Data ...

DevSecOps practices within cloud or controlled environments Exposure to large language models or generative AI systems Experience with data engineering tools (e.g. Spark, Airflow, Databricks) Experience applying AI and automation to operational or productivity-focused use cases Experience working in secure, restricted, or air-gapped environments Experience supporting systems subject ...

scaling a designated engineer, solutions architect team, TAM, or premium support program at a cloud data platform, hyperscaler, or enterprise SaaS company (e.g., Databricks, AWS, Google, Microsoft, Salesforce, ServiceNow, Red Hat, MongoDB, Oracle). Internal Snowflake field experience (Solutions Engineering, Solutions Architect) with deep relationships into regional Sales ...

Technical Stack & Requirements: AI/ML Stack: Amazon SageMaker, AWS Bedrock. Design Focus: Vector databases, knowledge graphs, and semantic layers. Databricks: Experience with Databricks and Databricks Genie is highly desirable. Core Mandate: Define the standards for "AI-ready" data curation and direct the integration of AI methodologies into existing Service ...

across the full engineering lifecycle, from ingestion and transformation through to data modelling, optimisation and supporting data solutions. You'll be working with Azure Databricks, Data Factory, Synapse, Data Lake, SQL and Python/PySpark. Key responsibilities: Build and enhance data pipelines across Azure and Databricks Develop ETL/… understand requirements and deliver effective solutions Contribute to engineering standards, documentation and the ongoing development of the platform Key experience: Experience with Azure Databricks Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage SQL and Python Understanding of data warehousing and ETL principles Strong communication and stakeholder engagement skills ...