1 to 25 of 202 Databricks Jobs in the UK excluding London

Databricks Architect – (Databricks, Azure, Lakehouse, ETL/ELT, Data Architecture) – Permanent – Reading (Hybrid) Charles Simon Associates are currently recruiting for a Databricks Architect on behalf of a global organisation delivering large-scale Azure Databricks data platform transformations. This is a key role where you will take ownership of Databricks architecture … Azure data platforms, and end-to-end data solutions, with a strong focus on Lakehouse architecture and greenfield Databricks implementations. All candidates must be British Citizens due to travel requirements. Location: Reading (Hybrid) Salary: Up to £90,000 Per Annum (DOE) Skills/Requirements for the Databricks Architect: Proven experience ...

Databricks Architect (Databricks, Azure, Lakehouse, ETL/ELT, Data Architecture) Permanent Reading (Hybrid) Charles Simon Associates are currently recruiting for a Databricks Architect on behalf of a global organisation delivering large-scale Azure Databricks data platform transformations. This is a key role where you will take ownership of Databricks architecture … Azure data platforms, and end-to-end data solutions, with a strong focus on Lakehouse architecture and greenfield Databricks implementations. All candidates must be British Citizens due to travel requirements. Location: Reading (Hybrid) Salary: Up to £90,000 Per Annum (DOE) Skills/Requirements for the Databricks Architect: Proven experience ...

Senior Data Engineer Responsibilities: Design, build, and maintain scalable, cloud-based data pipelines using Microsoft technologies such as Azure Data Factory, Azure Synapse, Databricks, and Microsoft Fabric Define and promote best practices around data architecture, governance, security, and quality Develop and optimise ETL/ELT processes to support reporting, analytics ...

handling, logging, and testing Hands-on experience with cloud data lake platforms and layered architectures (medallion/Bronze–Silver–Gold or similar) - Azure Synapse, Databricks, or equivalent Experience with orchestration tooling, CI/CD pipelines, and version-controlled development workflows An AI-first approach to development - you already ...

skills for warehouse development and metadata layers Proven ownership of production data systems end-to-end Wider Azure data platform experience (e.g. Synapse, Databricks) CI/CD pipelines within Azure and Fabric Azure Key Vault or similar secret management Experience in telecoms or cloud-focused environments Strong understanding of dimensional ...

versioning and experiment tracking using MLflow, along with controlled releases, rollback strategies, and continuous improvement workflows. Design, build, and optimize robust data pipelines in Databricks, feeding ML models and analytics workloads. Develop and maintain scalable data architectures including Azure Data Lake, Azure SQL Data Warehouse, and Synapse Analytics. Build … software, data, and ML workflows using tools such as Azure DevOps, Git, and Jenkins. Automate model training, testing, validation, and deployment using MLflow and Databricks Jobs. Automate infrastructure provisioning, environment management, and deployment using Terraform, ARM templates, or Ansible. Essential Technical Skills: Programming: Python, SQL, PySpark, Bash ML Frameworks: TensorFlow ...

consulting environment (or strong desire to develop this) Ambition to move into team leadership/people management Nice to have: Experience with PySpark/Databricks Experience with streaming technologies like Kafka or AWS Kinesis Knowledge of data governance and quality frameworks ...

develop and optimise coding in SQL and python Experience in creating data pipelines using Cloud (preferably Azure Data Factory) Experience with Cloud: ADLS, Databricks, SQL DW, Serverless Architecture Experience in CI/CD pipelines and monitoring Able to work with large datasets and extrapolate conclusions Strong analytical and critical thinking ...

experience working with SQL Server Strong experience working with Azure Data Factory and Azure DevOps Hands-on experience with data lake platforms, Azure Synapse, Databricks, or equivalent experience/skills Experience with tooling’s such as CI/CD pipelines and version control. The ability to lead feature specifications ...

Large-scale streaming and event-driven data platforms Modern data architectures such as medallion and domain-oriented patterns Enterprise data platforms such as Databricks, Snowflake, or equivalent CI/CD pipelines and Infrastructure-as-Code practices Client-facing delivery within regulated and security-conscious environments Engineering teams delivering real-time ...

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 ...

semantic layers Hands-on dashboard development using Tableau, Power BI, Looker, ThoughtSpot or similar tools Experience with enterprise data platforms such as Snowflake, Databricks or BigQuery Proficiency in Python or similar scripting languages for analytics, automation or data manipulation Experience implementing CI/CD pipelines using Git, automated testing ...

mission-driven environment. Data Engineer: Technical Skills & Experience We are looking for candidates with experience in: Cloud or data platform technologies (e.g., Azure, Fabric, Databricks) Operating and managing modern cloud-based data platforms Integrating third-party data feeds Exposure to DevOps or platform engineering Strong SQL for transformation, modelling ...

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. ...

need from you... § Experience with as much of the tech we work with most often: o Cloud platforms: Azure, AWS o Data platforms: Databricks, Snowflake, Fabric o BI & viz: Power BI, Tableau o Gen AI: ChatGPT, Copilot, Gemini o Apps: Power Platform o Source control & CI/CD: GitHub, Azure ...

Engineer within banking or financial services (essential) Strong SQL and Python (or equivalent) development skills Hands-on experience with modern data platforms (e.g. Snowflake, Databricks, Redshift, BigQuery) Cloud experience (AWS, Azure, or GCP) Solid understanding of data modelling, warehousing, and pipeline design Experience supporting regulatory or risk-related data workflows ...

environment (HealthTech, MedTech, or related sectors preferred) Strong SQL and Python (or similar programming languages) Hands-on experience with modern data platforms (e.g. Snowflake, Databricks, BigQuery, Redshift) Experience working with cloud technologies (AWS, Azure, or GCP) Solid understanding of data modelling, warehousing, and pipeline development Experience handling sensitive or regulated ...

distributed systems, microservices, and performance optimisation Experience with CI/CD, Git, and modern software engineering practices Nice to Have Exposure to platforms like Databricks, Snowflake, or BigQuery Experience in consulting or client-facing environments Cloud or data engineering certifications Experience mentoring or supporting junior engineers ...

contexts. Preferred Skills & Experience Exposure to management information (MI) and analytics platforms . Experience with Azure-based data platforms , including Azure Data Factory and Databricks . Knowledge of external emissions and environmental data providers . Strong understanding of modern data platforms and enterprise IT frameworks. Experience working within BCBS239-aligned ...

Location: London, Watford or Bristol (Hybrid working options available) The Lead Data Engineer will provide hands-on technical leadership in Azure cloud and Databricks-based solutions within our Enterprise Data Platform. The role requires strong expertise in Azure cloud services, Databricks, data engineering, and DevOps, leading a cross-functional team … Leading Product Increment planning to break down solutions into Features and Epics for incremental delivery. Designing and implementing scalable data solutions on Azure and Databricks within the assigned domain. Ensuring appropriate engineering standards are applied to maintain data quality, performance and reliability. Duties/Responsibilities Work with Product Owners ...

data governance and engineering standards The successful candidate will ideally have: Experience with at least one cloud platform (Azure, AWS, or Snowflake) Exposure to Databricks or similar modern data processing tools Working knowledge of SQL and some experience with Python An understanding of data warehousing concepts A strong desire ...

Teams, and OneDrive Desirable Experience with data governance, standards, or quality frameworks Exposure to modern data platforms such as Fabric, Azure Data Factory, or Databricks Scripting or analytical experience using Python or R Experience supporting organisations moving away from manual or spreadsheet-driven reporting ...

engineering or a similar production-focused role Strong Python (Pandas) and SQL skills Experience building and maintaining data pipelines Hands-on experience with Spark, Databricks or Delta Lake/Lakehouse architectures Familiarity with cloud data platforms, particularly within Azure environments Good understanding of data modelling, storage formats and performance optimisation ...

travel between Trust sites Desirable: Knowledge of data governance and data quality frameworks Familiarity with modern data platforms (e.g., Microsoft Fabric, Data Factory, Databricks) Experience supporting digital transformation initiatives Experience with Python or R for data analysis or transformation Experience building deployment pipelines in Microsoft 365 environment We recognise ...

external stakeholders, including customers and regulatory authorities. Tools, Systems & Continuous Improvement Manage and optimise the use of tools (e.g. Apache Spark, AWS Glue, Databricks or equivalent). Support system enhancements of data processing and transformation, migrations, and process improvements. Contribute to the development of engineering data management policies, procedures ...