1 to 25 of 198 Databricks Jobs in the UK excluding London

Data Architect - Databricks (Hybrid, UK) Locations: London, Manchester, or Edinburgh Hybrid: 2-3 days per week on-site Salary: Competitive (Manager & Senior Manager grades available) About the Role We are seeking an experienced Data Architect with deep expertise in Databricks to help our clients design, build, and scale modern data … scalable solutions. This is a hands-on architecture role suited to someone who has spent the last 2-3 years working directly with Databricks at an architectural level and is ready to progress towards programmes such as the Databricks DPP. Key Responsibilities * Architect and implement Databricks Lakehouse solutions across ingestion ...

Databricks Data Architect - Hybrid - Permanent Job Summary We are looking for a Databricks Data Architect with Databricks certifications to design and implement scalable data platforms using the Databricks Lakehouse architecture. The role involves building modern data pipelines, optimizing data platforms, and enabling analytics and machine learning capabilities across the organization. … Responsibilities Design and implement data architectures on the Databricks Lakehouse Platform Build and optimize ETL/ELT pipelines using Apache Spark and Databricks Implement Delta Lake and medallion architecture (Bronze, Silver, Gold) Ensure data governance, security, and performance optimization Integrate Databricks with cloud platforms and enterprise data sources Collaborate with ...

frameworks, data lifecycle, and data architecture. Experience with Azure DevOps, CI/CD, Git branching strategies. Proficiency in SQL and Python. Knowledge of Databricks (added advantage). Experience in Agile/Scrum environments. Excellent problem-solving, communication, and documentation skills. Good to Have Domain knowledge. Understanding of the water industry. ...

recommendation systems (as applicable) Programming Python (NumPy, Pandas, Scikit learn) Optional: R, SQL Data Platforms Relational & NoSQL databases Big data frameworks (Spark, Hive, Databricks) MLOps & Deployment Model lifecycle management CI/CD pipelines Containerization (Docker, Kubernetes desirable) Model packaging and REST APIs Cloud & Tools (Any combination) AWS/Azure/ ...

lead and provide clarity in complex technical environments. Desirable Experience: Involvement in data-platform re-architecture programs. Exposure to Medallion/Lakehouse patterns or Databricks-style ecosystems. Experience in regulated or high-assurance data environments. Why Join Us? This is your chance to be part of a transformative journey ...

with structured/unstructured data. • Comfortable working in an environment where the data platform is being built from scratch. Desirable • Experience with Azure Synapse, Databricks, or other cloud data technologies. • Exposure to Python or notebooks for data wrangling. • Understanding of Continuous Integration/Continuous Deployment, DevOps, or version control ...

automation tasks. Proven ability to design, build, and maintain scalable data pipelines for batch and streaming data using modern frameworks. Experience working with Databricks for big data processing, Spark-based transformations, and collaborative analytics workflows. Familiarity with Azure Data Factory (ADF) for data orchestration and integration across cloud environments. Skilled ...

loads Azure Ecosystem (Preferred/Good to Have) Azure data services experience in one or more: Azure Synapse Analytics/Dedicated SQL Pools Azure Databricks/Spark ADLS Gen2, Azure SQL DB, Managed Instance Event Hub/Kafka, Stream Analytics (if real-time involved) Monitoring & observability: Azure Monitor, Log Analytics ...

Data Vault a plus) BI & analytics (Power BI, Tableau, Looker) Agile delivery (Scrum/SAFe) Strong communication and problem-solving skills Technical Stack Snowflake, Databricks, Fabric (or similar) dbt, CI/CD, version control Airflow, ADF, Dagster Power BI, Tableau, Looker JIRA, Confluence, DevOps Qualifications Relevant degree or equivalent experience ...

Strong understanding of data architecture methodologies, governance, and security best practices Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic ...

Strong understanding of data architecture methodologies, governance, and security best practices Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic ...

Cosmos DB, within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/ ...

Cosmos DB, within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/ ...

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 ...

related quantitative discipline , or equivalent industry experience * Strong experience with cloud data platforms such as Azure, AWS or GCP * Experience working with BigQuery, Databricks or similar large-scale data platforms * Proven experience building and maintaining data pipelines and scalable data infrastructure * Strong Python programming skills for data engineering and automation ...

optimisation. Skills & Experience Required Proven experience as a Data Engineer or in a similar role. Strong Azure background, ideally including Data Factory, Data Lake, Databricks, Synapse (or similar). Solid understanding of SQL, Python, ETL/ELT, data warehousing, and data modelling. Experience integrating multiple systems into a centralised platform. ...

storage, transformation and warehousing Experience interacting with APIs and cloud services programmatically Experience building and maintaining cloud data warehouses (e.g. Redshift, Snowflake or Databricks) Familiarity with Git-based source control Experience working in an Agile delivery environment Strong analytical and problem-solving skills The ability to communicate technical concepts clearly ...

Data Architect - Databricks £120,000-£125,000 base + benefits London (Hybrid: 2-3 days per week onsite) We're looking for an experienced Data Architect who can shape and deliver large-scale analytics platforms using Databricks and modern Lakehouse principles. This role is ideal for someone who enjoys working … early stages of their data transformation journeys. What You'll Bring Extensive experience designing and delivering end-to-end data platforms using Databricks , with a strong focus on Lakehouse Architecture , Delta Lake, and scalable data engineering patterns. A solid background in data analytics, consulting, or a similar technical discipline. Strong ...

regulators. Must-Have Experience Head of/Director-level data leadership in financial services or regulated sector. Deep expertise in Azure data stack (ADF, Databricks, Synapse, SQL, ADLS, CI/CD). Strong experience with Microsoft Purview and data governance frameworks. Hands-on experience with Microsoft Fabric and Power BI. ...

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 ...

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 ...

with data formats such as JSON and XML Some experience or awareness of ETL or middleware tools (e.g., Azure Data Factory, SSIS, Boomi and DataBricks) Skills Attention to detail with a focus on data accuracy and system reliability Eagerness to learn and develop within the integration and data space Logical ...

will need experience using AI environments and good verbal and written communication skills, including presentation skills, as well as experience with the following: - Databricks and Power BI - Python and TSQL - Extract, Transform, Load (ETL) - Analysis and design - Test Automation and Refactoring - Unit Testing and mocking - Agile & Scrum development methodologies ...

/Kinesis, streaming ETL). Knowledge of data quality frameworks (Great Expectations, Deequ) and data lineage/catalog (Atlas, Alation, Collibra). Exposure to Databricks or EMR for advanced Spark workloads. Certifications: AWS Solutions Architect/Data Analytics/DevOps Engineer. Prior experience leading multi-team programs with offshore/ ...

Data Architect - Databricks - Hybrid (London) - up to £125,000 I am working with a high-growth consultancy at the forefront of modern data engineering and AI. This is a place where architects shape real data strategy, influence enterprise-level decision-making, and build world-class Databricks lakehouse platforms for some … scale, and working directly with clients to bring modern data platforms to life, you will thrive here. You Will Work With Architecting and implementing Databricks Lakehouse solutions across ingestion, processing, storage, governance and analytics Designing scalable, modern data platforms for structured + unstructured data Translating business needs into robust technical ...