26 to 50 of 675 Databricks Jobs in the UK

MKTQ427R39 The Role Databricks is hiring a Director of International Communications to build and scale our global communications strategy. As Databricks grows its footprint, this role will own how that story gets told: new market entries, in-country investments, new offices, customer wins, and local business milestones that build Databricks … responsible for the execution of communications programs across those regions. This is a strategic role: turning business momentum into locally resonant news that establishes Databricks as a leader in data and AI around the world. What This Role Unlocks Communications advisor to regional leaders – advise on PR, social, internal comms ...

pensions, insurance, or regulated financial services Experience working in multidisciplinary analytics or actuarial teams Broader exposure to Azure ecosystem tools (eg, Azure DevOps, Databricks) Key Requirement The most critical requirement for this role is hands-on, production-level experience with Azure Machine Learning Studio (AML Studio), including building and deploying ...

Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications … Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including ...

FEQ227R147 Location: London, UK Recruiter: Dina Hussain 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 and AI accessible to everyone. We aim to inspire … velocity "Hunter DNA"—obsessing over Time to Value, qualifying out ruthlessly when necessary, and focusing energy on hard‐to‐win, prestigious accounts that establish Databricks as the standard for the UK startup ecosystem. Ecosystem Building: Drive awareness within the UK startup and VC ecosystem. You will be the face ...

Understanding of databases, data modelling, and ETL/ELT concepts. Interest in cloud data technologies and modern data platforms. Exposure to Azure, Microsoft Fabric, Databricks, Data Factory, or similar technologies would be advantageous. Strong analytical, problem-solving, and communication skills. What's on Offer Opportunity for graduates and junior-level ...

large datasets. Experience with one or more cloud platforms: Microsoft Azure, AWS, Google Cloud Platform (GCP) Experience with modern data platforms such as Snowflake, Databricks or similar. Strong understanding of data modelling principles. Experience building ETL/ELT pipelines. Knowledge of data governance, security and data quality frameworks. Excellent communication ...

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient ...

time. Your Role: Manage data lakes, data warehouses, and lakehouses. Optimize storage, partitioning, indexing, and query performance. Support platforms like Azure Data Lake, Snowflake, Databricks, AWS S3, Redshift, Synapse, or BigQuery. Create CI/CD pipelines for data applications and infrastructure. Automate code deployment using Azure DevOps, GitHub Actions, Jenkins ...

Tools Hands-on experience with: ERwin Data Modeller ER/Studio PowerDesigner SQL Developer Data Modeler Database Technologies Oracle SQL Server PostgreSQL Snowflake Teradata Databricks Cloud Platforms Experience in one or more: Azure AWS GCP Data & Analytics Technologies Advanced SQL Data Warehousing Data Lake Architecture Metadata Management Data Governance Frameworks ...

years designing, implementing and managing cloud-based architectures such as AWS, Azure or GCP, and hands-on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth: At least 3 intermediate-level cloud certifications and expertise in cloud-native AI data architectures. Infrastructure & Automation: Proficiency ...

call the TCS London Office on 020 3155 2100 . Please include the subject line: “Application Support Request” . Role: Lead Data Engineer – Azure Databricks & Data Operations Job Type: Permanent Location: Redditch, UK Mode of Working: Hybrid Working Hours: 40 hours per week (Full-time) Are you looking to build … scalable cloud-native applications and data platforms using Azure technologies? We have an exciting opportunity for you - Lead Data Engineer – Azure Databricks & Data Operations! Careers at TCS: It Means More TCS is a purpose-led transformation company, built on belief. We go beyond helping businesses transform through technology, we enable ...

Senior Databricks Architect Technology: Databricks (Spark, PySpark/SQL) and data lake architectures. Location: London, UK. Compensation: Competitive (including bonus). Job Description We are looking for a Data Architect to design, build, and operate scalable data pipelines and data products, enabling a modern data mesh architecture. The role focuses … integrating legacy systems with cloud-native platforms to support analytics, reporting, and domain-owned data products. Primary Skills Strong experience with Databricks (Spark, PySpark/SQL) and data lake architectures. Hands‐on experience with streaming technologies, especially Kafka/Confluent Kafka. Experience integrating legacy data sources such as DB2 (mainframe ...

Platform Development, or Software Engineering. Strong experience designing enterprise-scale cloud data platforms using Azure, AWS, or Google Cloud. Expertise with technologies such as Databricks, Azure Data Factory, Microsoft Fabric, Snowflake, Airflow, Spark, SQL, and Python. Proven experience building scalable ETL/ELT pipelines and modern data architectures. Between ...

demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AxoWS/Oracle cloud, R, Python. #J-18808-Ljbffr ...

Extensive experience in Enterprise Data Architecture or a similar strategic data leadership role. Strong background designing enterprise-scale cloud data platforms. Experience with Azure, Databricks and modern data architecture principles. Strong understanding of data modelling, governance and data quality frameworks. Experience delivering large-scale data transformation initiatives. Knowledge of technologies ...

pipelines supporting event operations across channels. 5+ years in data architecture or related fields. Deep knowledge of modern data architecture, cloud platforms (Azure, AWS, Databricks), ETL/ELT. Experience with metadata management, AI/Machine Learning integration. Strong communication and stakeholder engagement skills. Understanding of information security, privacy, and compliance ...

highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building … maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex ...

highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building … maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex ...

various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) and curiosity to learn others. Bridging Data & AI: Understanding ...

implementing complex data-matching, reconciliation, and entity-resolution solutions across multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices including version control, CI/CD, and infrastructure as code using Terraform ...

code practices, and ideally container orchestration with Kubernetes. Familiarity with SQL and NoSQL databases (Cassandra, Postgres), ideally combined with data collaboration platforms (Snowflake, Databricks) Strong DevOps mindset with experience in CI/CD pipelines, monitoring, and observability tools (Grafana or equivalent). Exposure to analytics, reporting, and BI tools such ...

Expertise in data modelling, schema design, and working with structured and semi-structured datasets. Experience with distributed technologies including Hadoop, Spark, HDFS, Hive, Databricks, or AWS Lake Formation. Knowledge of automating cloud-based ingestion and transformation frameworks. Experience delivering data engineering solutions within highly regulated industries such as financial services. ...

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. What’s in it for you?: Competitive salary that reflects your skills, experience and potential. ...

Technical Skills: Expertise in data modeling tools and techniques (e.g., ER/Studio, Erwin). Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka ...

Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape … adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet ...