1 to 25 of 283 Remote Databricks Jobs

team. As a 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 … 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 ...

modelling Experience using Git/version control Strong communication skills with both technical and non-technical stakeholders Desirable Skills: Microsoft Fabric Azure Synapse Analytics Databricks Apache Spark/PySpark dbt Apache Airflow Power BI Azure DevOps CI/CD pipelines Terraform What's On Offer: £65k+ salary package Hybrid working ...

similar programming languages, and business intelligence tools (e.g. Power BI, or equivalent). Experience using data platform and integration tools (e.g. Azure Data Factory, Databricks, Synapse, or equivalent cloud-based services) to develop scalable data pipelines and reporting datasets. Ability to design and produce high-quality written documentation, including technical ...

system integration, automation, and data ingestion use cases. Experience with real-time streaming solutions like Azure Stream Analytics, Kafka, or Event Hubs. Familiarity with Databricks and its integration with Azure Synapse and Microsoft Fabric. Knowledge of Graph Databases and NoSQL technologies. Understanding of AI/LLM applications and their integration ...

cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake Please Note: Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain ...

Location: London, United Kingdom - Hybrid As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks, while aligning … their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert. You will be reporting to the Manager, Field Engineering ...

modern data engineering frameworks. Experience deploying machine learning models into production. Strong knowledge of cloud platforms such as Azure, AWS or GCP. Experience with Databricks, Snowflake or similar data platforms. Knowledge of Infrastructure as Code tools such as Terraform. Experience with Kubernetes, Docker and CI/CD pipelines. Strong understanding ...

cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake Please Note: Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain ...

cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake**Please Note:**Security Clearance: **To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.** To obtain ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

Senior Data Engineer £70,000 - £90,000 + Benefits Remote | UK Permanent Help shape the future of enterprise data. 167 Solutions is partnering with an established international organisation to recruit an experienced Senior Data Engineer ...

accomplished Solution Architect who wants to grow their Databricks expertise, develop technical content and presentations, and help build the future of AI on Databricks? Aimpoint Digital is a fully remote, rapidly growing AI and Data Engineering consultancy; specializing in enabling tangible business outcomes and ROI for organizations around the globe. … fundamentally changes how the world works, and we’re looking for an experienced Databricks Solution Architect to join our team and define what the future of AI looks like on Databricks You will: Engage in multi-disciplinary teams to deliver complex AI, Engineering and Data & Analytics cases on the Databricks ...

expertise with dbt Deep proficiency across the Microsoft data stack, including: Microsoft Fabric Power BI Azure Synapse Azure Data Factory Working knowledge of Databricks Working knowledge of AWS environments (Redshift, RDS) Solid grounding in database technologies, API architecture, data warehousing principles, and standard ETL/ELT patterns UK-based with ...

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 ...

background; a degree in a business, data, or technology-related discipline is desirable. Technical acumen — sufficient familiarity with the data stack (SQL, Power BI, Databricks, AI/ML workflows) to manage technical teams effectively and ask the right questions. Outstanding communication skills — engaging and credible with both technical engineers ...