201 to 225 of 291 Permanent Databricks Jobs

FEQ427R38) At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer‐centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions … better world! Impact you will have Create impactful and successful relationships with customer accounts across the regions, providing technical and business value to Databricks customers in collaboration with the extended team. Act as a trusted advisor to C‐level executives, defining long‐term Data & AI strategies, modernising platforms, and aligning ...

looking to grow in a forward-thinking environment. THE ROLE: You will take ownership of supporting and developing data pipelines within a modern Azure Databricks Lakehouse environment. Working closely with engineering teams, you'll contribute to building scalable, high-quality data solutions while developing your technical skillset. Key responsibilities include … development processes Contributing to data engineering and data modelling activities Applying DevOps principles throughout the engineering lifecycle Collaborating across squads and upskilling within the Databricks ecosystem YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Python development Databricks Azure PySpark Understanding of data engineering principles A proactive, growth-mindset ...

looking to grow in a forward-thinking environment. THE ROLE: You will take ownership of supporting and developing data pipelines within a modern Azure Databricks Lakehouse environment. Working closely with engineering teams, you'll contribute to building scalable, high-quality data solutions while developing your technical skillset. Key responsibilities include … development processes Contributing to data engineering and data modelling activities Applying DevOps principles throughout the engineering lifecycle Collaborating across squads and upskilling within the Databricks ecosystem YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Python development Databricks Azure PySpark Understanding of data engineering principles A proactive, growth-mindset ...

frameworks, and real-time personalisation. The team operates 60+ LLM-based evaluation judges, develops proprietary fine-tuned health models, and maintains active partnerships with Databricks, Google, OpenAI, Anthropic, and AWS. What You’ll Do LLM Judge Ecosystem: build and scale Judge-as-a-Service, prompt registries, calibration pipelines, and evaluation … Serving: develop LoRA/SFT/preference optimisation pipelines for health-domain models (Llama, Gemma, MedGemma) and manage model serving at scale on Databricks Data and Evaluation Pipelines: build synthetic Q&A generation, golden test sets, reward function engineering, and Delta table schemas in Unity Catalog for reliable, reproducible evaluation ...

Location: London, United Kingdom Responsibilities: Create impactful and successful relationships with customer accounts across the regions, providing technical and business value to Databricks customers in collaboration with the extended team. Act as a trusted advisor to C-level executives, defining long-term Data & AI strategies, modernising platforms, and aligning technical … across territories in the regions. Scale best practices in your field by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. Grow your knowledge and expertise to the level of a technical and/ ...

play a key role in bringing alignment, structure, and consistency across engineering practices, while working within a modern Microsoft technology stack including Azure, Databricks, Fabric, Power Platform, SharePoint, and Azure DevOps . The focus is on creating a high-performing engineering function that delivers reliably and continuously improves. Key Responsibilities … Support and strengthen L2/L3 support models. Continuous Improvement Identify opportunities to optimise tools, processes, and delivery practices. Champion best practice across Azure, Databricks, Fabric, and the wider engineering ecosystem. Skills & Experience Proven experience leading multi-disciplinary engineering teams , including managing team leaders or managers. Strong delivery background across ...

Senior Analytics Engineer will: Build and maintain curated, analysis-ready datasets for business use Develop scalable data models and transformation layers using dbt and Databricks Create reliable sources of truth for analysts and reporting teams Collaborate with stakeholders to understand data requirements and deliver impactful solutions Contribute to best practices … Understanding of data warehouse modelling concepts such as medallion architecture or Kimball methodologies Familiarity with Python for data workflows Exposure to tools such as Databricks, or similar cloud-based platforms Experience working in collaborative data teams and delivering for multiple stakeholders Strong communication skills and a proactive approach to problem ...

UTA seeks a Principal AI Engineer to lead the design, development, and delivery of intelligent software systems that bring together enterprise application architecture, full-stack engineering, data science, and machine learning. In this highly visible ...

Exposure Data Analyst/Quantitative Exposure Analyst London 80,000 - 90,000 + Benefits Are you a data-driven insurance professional with strong Python and SQL skills looking to work at the forefront of exposure ...

AI Engineer - FS consulting London A leading consulting and technology firm is seeking AI Engineers and Technical AI Leaders to join their team in London on a hybrid basis. The business delivers production-grade AI ...

AI Engineer - FS consulting London A leading consulting and technology firm is seeking AI Engineers and Technical AI Leaders to join their team in London on a hybrid basis. The business delivers production-grade AI ...

before reaching production. Responsibilities Execute end-to-end functional and integration testing across applications, APIs and data platforms Validate data pipelines (Azure Data Factory, Databricks, Microsoft Fabric) ensuring accuracy and consistency Partner with Developers and Business Analysts on test planning, scenario creation and early validation Perform SQL-based data validation … Strong SQL skills for data validation and troubleshooting Experience testing across Power Platform (PowerApps, Dataverse), SharePoint and APIs Exposure to Azure data technologies (ADF, Databricks, Microsoft Fabric) Ability to design structured test cases, scenarios and test cycles Strong analytical and communication skills What's on Offer Salary ...

Senior Data Engineer - London (Hybrid) - Databricks - Up to £80,000 A fast-growing analytics and data-led organisation within the entertainment space is continuing to invest heavily in its data platform as demand scales. Data sits at the centre of how this business drives commercial performance, insight and strategic decision … modern, cloud-native data architecture to support that growth. This is an excellent opportunity for a Senior Data Engineer who wants to shape Databricks-based solutions, influence architectural direction, playing a key role in setting engineering standards. What you'll be doing Designing and evolving scalable, resilient data platforms ...

will own the quality assurance of Sagacity's client data platform deployments — the Databricks Lakehouse pipelines, gold-layer views, and analytics datasets that drive marketing, billing, credit and debt outcomes for our clients across financial services, retail, energy, telecoms & media, water, and the not-for-profit sector. Working closely with … volume checks, data quality rules, and migration parity — using SPHERE's YAML-driven test framework Investigate test failures systematically: trace root causes through the Databricks Lakehouse stack (bronze silver gold), distinguish pipeline bugs from data issues, and produce clear, evidenced findings for the development team Manage QA work items ...

high-quality data platforms that support critical, real-world decision-making. Looking for a strong Principal Data Engineer whos hands-on with Azure (ADF, Databricks, Lakehouse), has led big modernisation/migration projects, and knows how to build secure data platforms. You need to be a genuine leader - someone … senior capacity Demonstrable experience designing and managing metadata-driven frameworks using Azure Data Factory and Azure Databricks. Competence in and hands-on experience managing Databricks environments and developing lakehouse architectures with a focus on automation, performance tuning, cost optimisation, and system reliability. Proven proficiency in programming languages such as Python ...

Participation in an on-call or out-of-hours rota may be required depending on operational needs. Opportunity to work with specialist platforms including Databricks, Azure ML, and enterprise-scale data tools. What you’ll bring to the role Essential Strong experience with Azure DevOps, including pipeline and template development. … Hands-on experience with ML Ops practices and tools such as Databricks or MLflow. Proficiency in PowerShell, Bash, Azure CLI, and scripting for automation. Experience supporting application development in Python, C#, and JavaScript. Knowledge of Terraform, Bicep, ARM templates, and CI/CD best practice. Azure certification. Desirable Experience with ...

docs, debugging production systems, and making architectural decisions alongside your team. Deep experience with large-scale data processing and distributed systems (e.g., Spark, Flink, Databricks, Airflow, or similar). You can evaluate trade-offs, not just delegate them. A track record of leading multiple high-performing engineering teams – while staying … large-scale clustering problems. Familiarity with cost optimization for high-throughput data pipelines. Technologies we use: AWS serverless architectures Kubernetes Spark Flink Java Python Databricks RisingWave Parquet, Iceberg, Delta, Paimon Terraform GitHub AI at Chainalysis AI is not a feature at Chainalysis – it is a new way of working. ...

Principal Engineer (Payments) Our long-term trusted partner, a leading financial services corporation, is hiring a Principal Engineer to drive the development and design of several greenfield retail banking platforms as our client continues on ...

Principal Engineer (Payments) Our long-term trusted partner, a leading financial services corporation, is hiring a Principal Engineer to drive the development and design of several greenfield retail banking platforms as our clients rebuild their ...

Alliance Sales Director - Databricks - Permanent - London Location: London Other locations: Primary Location Only Requisition ID: 1661349 Job Title: UK Alliance Sales Director – Databricks Business Unit: UKI CTO Office Reporting to: UKI Alliance Leader Grade/Level: Director Overview of the Role The Alliance Director plays a critical role in driving … role is to accelerate the growth of EY’s revenues from the alliance, primarily focusing on our major partnerships with ServiceNow, SAP, Microsoft, Snowflake, Databricks and Nvidia. Expectations of the Role Opportunity Origination: Proactively identify and qualify opportunities for collaborative sales pursuits with alliance partners and internal EY teams. Product ...

Data Solution Architect - Databricks Location: UK Wide (Hybrid) Salary: Up to £110,000 + Bonus + Excellent Benefits Security Clearance: Must be eligible for SC Clearance The Opportunity We're recruiting for an experienced Data Solution Architect with strong Databricks expertise to join a leading technology consultancy delivering large-scale ...

polished environment. Its an opportunity to shape, modernise, and influence from refactoring legacy pipelines to building best-in-class data products using tools like Databricks, Azure, and GCP. Youll operate as the technical authority within the data function, setting standards, mentoring engineers, and working closely with both internal teams … processes into scalable, observable data pipelines Build and deliver high-quality data products in line with architectural designs Work across modern cloud platforms including Databricks, Azure, and GCP Engineering Leadership & Collaboration Act as the technical authority for third-party and contract engineers Contribute to engineering communities and help define best ...

Support GitHub-based release and deployment workflows Work with Kafka for event-driven streaming and real-time data movement Support and evolve data platforms (Databricks ideal) Build and maintain data pipelines (batch + streaming/ETL/ELT) Improve platform reliability, observability, and performance Collaborate with engineering teams to improve …/CD (essential) Kubernetes, Docker, and Terraform experience Strong scripting skills (Python, Bash, or PowerShell) Experience with Kafka or similar streaming platforms Experience with Databricks or modern data platforms (e.g. Snowflake, Synapse, BigQuery) Strong understanding of data pipelines and distributed systems Focus on automation, scalability, and reliability Nice to Have ...

scalable data pipelines and processing systems Develop data solutions using Python, SQL, or similar technologies Work with distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow Test, troubleshoot, and improve data products to ensure … data-intensive applications and pipelines Strong programming skills in Python and SQL Experience working with at least some of: Distributed computing frameworks (e.g. Spark, Databricks) Cloud platforms (AWS, Azure, or GCP) Workflow orchestration tools (e.g. Airflow) Strong understanding of data system reliability, testing, and performance Experience troubleshooting and improving production ...

scalable data pipelines and processing systems Develop data solutions using Python, SQL, or similar technologies Work with distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow Test, troubleshoot, and improve data products to ensure … data-intensive applications and pipelines Strong programming skills in Python and SQL Experience working with at least some of: Distributed computing frameworks (e.g. Spark, Databricks) Cloud platforms (AWS, Azure, or GCP) Workflow orchestration tools (e.g. Airflow) Strong understanding of data system reliability, testing, and performance Experience troubleshooting and improving production ...