76 to 100 of 375 Databricks Jobs in the UK

engineering roles, ideally within consumer tech, logistics, or e-commerce. Strong proficiency in Python, SQL, and machine learning frameworks. Experience with cloud platforms (Azure, AWS, GCP) and tools like Databricks, DBT, Airflow, or Terraform. Familiarity with AI/ML applications and modern analytics tooling. Excellent communication skills and ability to work independently in a fast-paced environment. Why Join? Be More ❯

and Finance. Develop target-state architectures and data strategies in line with business needs. Create and manage conceptual, logical, and physical data models. Design and implement Lakehouse Architectures using Databricks and other modern data platforms. Ensure robust data governance, integration, and quality across systems. Collaborate with IT and business stakeholders to deliver scalable, cloud-based solutions. What We're Looking More ❯

managing complex financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data warehousing solutions - Snowflake experience would be brilliant Understanding of CI/CD processes for deploying data solutions Some exposure to big data technologies and distributed More ❯

small, high-performing team. What We're Looking For Hands-on Palantir Foundry expertise or transferable, client facing data engineering experience with large-scale data platforms such as: Snowflake, Databricks, AWS Glue/Redshift, Google BigQuery Software engineering skills in Python, Java, or TypeScript/React. Strong data modelling, pipeline development, and API design experience. Excellent problem-solving and communication More ❯

strong technical expertise and a passion for solving complex business problems. You'll bring: Strong experience with SQL, SQL Server DB, Python, and PySpark Proficiency in Azure Data Factory, Databricks is a must, and Cloudsmith Background in data warehousing and data engineering Solid project management capabilities Outstanding communication skills, translating technical concepts into clear business value A collaborative, solution-oriented More ❯

small, high-performing team. What We're Looking For Hands-on Palantir Foundry expertise or transferable, client facing data engineering experience with large-scale data platforms such as: Snowflake, Databricks, AWS Glue/Redshift, Google BigQuery Software engineering skills in Python, Java, or TypeScript/React. Strong data modelling, pipeline development, and API design experience. Excellent problem-solving and communication More ❯

scripting or programming experience Strong conceptual skills, logical/analytical thinking & problem-solving skills Desirable Experience with Infrastructure as Code, for automation and configuration management Knowledge and experience of Databricks THE PACKAGE A Competitive starting salary with annual pay reviews. 25 Days holiday plus bank holidays. Plenty of opportunity for progression. Flexibility for hybrid working. Health care and medical insurance More ❯

Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming More ❯

Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming More ❯

to learn. Technical Skills: Degree or equivalent experience in data science, analytics, or a related field. Proven experience of creating and maintaining data pipelines. Experience of Advanced Excel, Azure Databricks, Advanced SQL, working knowledge of PowerBI, and exposure to GIS. GDPR awareness and compliance. Desirable: Understanding and exposure to databases, interfaces, business systems and work force management solutions Knowledge of More ❯

Notebooks, Power BI). Lead and manage the QA effort across multiple agile teams. Drive the development and maintenance of automated testing for: 1-PySpark notebooks in Fabric/Databricks 2-Data pipelines and transformations 3-Delta tables and lakehouse validation Embed testing into CI/CD pipelines (Azure DevOps or GitHub Actions). Ensure quality gates are enforced through More ❯

field with 5+ years experience. PREFERRED QUALIFICATIONS Full-stack development experience e.g. React/Angular and integration with backend. AWS experience or working knowledge of AWS partner solutions like Databricks or Snowflake. Expertise of implementing GenAI in production including LLMs, RAG architectures, vector databases. Experience with automation and scripting (e.g., Terraform, Python). Knowledge of security and compliance standards (e.g. More ❯

problems we can help solve together. Knowledge & experience needed: Excellent ability in R or Python, to write clear, logical, documented code as data solutions Experience working with Azure (Cloud), Databricks Experience working with real-world data, including spatial data Understanding of data product development frameworks Highly numerate with excellent analytical and problem-solving skills, including experience of analysing and accurately More ❯

a data validation framework to automate quality control processes Requirements Over 3+ years of hands-on Python development experience for production systems Proficient in data cloud computing technologies (EMR, Databricks) within leading cloud platforms (AWS, Google Cloud, or Azure) Skilled in designing and implementing data pipelines using distributed storage platforms Demonstrated analytical skills and structured approach to software design Have More ❯

lead data role and then into a management Very strong technical skills that will include - SQL, SSIS, SSRS, SAS - Power BI, Power Platform - Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering More ❯

Preferred Qualifications Exposure to machine learning workflows, model lifecycle management, or data engineering platforms. Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks). Familiarity with banking or financial domain use cases, including data governance and compliance-focused development. Knowledge of platform security, monitoring, and resilient architecture patterns. More ❯

into a management (mentoring, coaching, team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering More ❯

closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and More ❯

closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and More ❯

processes. Proficient in SQL scripting, writing complex queries, and test script development. Experience with structured and unstructured data testing. Hands-on knowledge of Azure data services like Data Factory, Databricks, Synapse, Cosmos DB, and Data Lake. Familiarity with data testing automation tools and frameworks. Domain knowledge in Insurance is a plus. Skilled in Python and PySpark for scripting and automation. More ❯

identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Hands-on experience in the cloud platform and tools (i.e. Azure, AWS, Databricks) Insurance or financial services experience Knowledge and awareness of the latest tools, techniques and technology across the analytics marketplace Behaviours: Team player Self-motivated with a drive to learn and More ❯

identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Hands-on experience in the cloud platform and tools (i.e. Azure, AWS, Databricks) Insurance or financial services experience Knowledge and awareness of the latest tools, techniques and technology across the analytics marketplace Behaviours: Team player Self-motivated with a drive to learn and More ❯

tuning, and observability. Preferred Qualifications * Exposure to machine learning workflows or data engineering platforms. * Experience with distributed systems, event-driven architectures (eg, Kafka), and big data frameworks (eg, Spark, Databricks). * Understanding of financial services, data governance, or compliance-driven development. * Knowledge of platform security, monitoring, and resilient design patterns. This is a high-impact opportunity to work with modern More ❯

data security (e.g. RLS); other reporting tools a bonus. Strong background in data analytics, modelling, and pipeline development, with hands-on proficiency in SQL, Python, and cloud platforms (Azure, Databricks, etc.). Demonstrated ability to work closely with stakeholders to translate business needs into actionable insights, user stories, and high-impact reporting solutions. Must thrive in Agile environments, with a More ❯

users in line with security standards Qualifications Experience in a data, operations, or analytics-focused role Familiarity with BI and reporting platforms such as Power BI, Datorama, Data Studio, Databricks, SQL Strong communication skills and a collaborative, solutions-focused mindset An organised, proactive approach-comfortable working across teams and timelines Excitement for new technology, data storytelling, and digital marketing innovation More ❯