151 to 175 of 552 Databricks Jobs in England

to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope and More ❯

decision-making at scale Strong SQL and python skills and experience working with large, relational datasets Hands-on experience with BI tools (e.g. Looker, Tableau, Power BI) Experience with Databricks is nice to have but not required A track record of driving adoption of analytics tools and influencing decision-making Experience shaping client-facing analytics or data products is a More ❯

decision-making at scale Strong SQL and python skills and experience working with large, relational datasets Hands-on experience with BI tools (e.g. Looker, Tableau, Power BI) Experience with Databricks is nice to have but not required A track record of driving adoption of analytics tools and influencing decision-making Experience shaping client-facing analytics or data products is a More ❯

DATABRICKS ENGINEER 6-MONTH CONTRACT £450-£550 PER DAY (OUTSIDE IR35) This role is a great opportunity for a skilled Databricks Engineer to join a data-driven financial services firm undergoing a major transformation of their data infrastructure. You'll be a key player in modernising their data platform with Databricks and Azure, while supporting scalable data pipelines and machine … THE COMPANY This business is investing heavily in data as it digitises operations across its risk, product, and customer intelligence teams. They're building a modern Lakehouse architecture using Databricks, Delta Lake, and Azure Data Lake. You'll be part of a collaborative, forward-thinking team with a focus on best practices, automation, and end-to-end data enablement. THE … Azure stack. Your responsibilities will include: Designing and deploying ETL pipelines using PySpark and Delta Lake on Databricks. Supporting the deployment and operationalisation of ML models with MLflow and Databricks Workflows. Building out reusable data products and feature stores for data science teams. Tuning performance across clusters, jobs, and workflows. Migrating legacy systems (SSIS/SQL) to Databricks and cloud More ❯

Teams across multiple locations and time zones Strong interpersonal and communication skills with an ability to lead a team and keep them motivated. Mandatory Skills : Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow More ❯

agnostic, but the team uses Power BI). Excellent communication skills with proven experience turning data into actionable insights (CV should include clear examples). Desirable Skills Experience with Databricks and Python (for data processing and automation). Background in finance or retail. Why Apply? This is an opportunity to work in a collaborative environment where your data skills will More ❯

experience in MLOps practices, integrating machine learning models into scalable, secure production environments is a great plus Comfortable working with Bitbucket, Git, Confluence, and Jira Familiarity with platforms like Databricks is a strong advantage Strong problem-solving mindset and ability to collaborate across teams Clear communicator able to explain complex technical concepts simply and effectively. Qualifications and Requirements: Bsc/ More ❯

in a law firm or professional services Deep knowledge of Azure-native data services , including: Azure Synapse Analytics Azure Data Lake Gen2 Azure Data Factory (ETL/ELT) Azure Databricks Azure Purview (data governance) Microsoft Fabric Hands-on expertise in data modelling (conceptual, logical, and physical) Experience with MDM platforms (e.g., Profisee, Semarchy, CluedIn, Reltio) Strong understanding of APIs for More ❯

Familiarity with AI governance and ethical AI practices Curious and up to date on GenAI technologies (either directly or via team exposure) Comfortable working with varied tech stacks across Databricks, AWS, Azure Experience in regulated industries, especially gambling, is a plus Key highlights: High-impact role with visibility across group leadership, including CEO, CTO, and company owner Strategic ownership of More ❯

Familiarity with AI governance and ethical AI practices Curious and up to date on GenAI technologies (either directly or via team exposure) Comfortable working with varied tech stacks across Databricks, AWS, Azure Experience in regulated industries, especially gambling, is a plus Key highlights: High-impact role with visibility across group leadership, including CEO, CTO, and company owner Strategic ownership of More ❯

Active Directory Azure Monitor and Azure Security Center In-depth knowledge of Azure AI Foundry and its components, including: Azure Cognitive Services Azure Machine Learning Azure Bot Service Azure Databricks Proficiency in Power Automate for creating and managing automated workflows Strong programming skills in languages such as Python, C#, or JavaScript This role is based in Manchester and will allow More ❯

BI Proven track record managing secure, high-performance database environments A genuine passion for continuous learning and staying ahead of industry innovation Experience with Azure Synapse/Sharedo/Databricks (nice to have) Python (nice to have) Ready to Take the Next Step? If you're a Senior Database Developer who's ready to elevate your career APPLY NOW or More ❯

insights via tools like Power BI or Tableau Support integration testing and third-party specifications What you'll bring: Strong background in data architecture and cloud platforms (e.g. Snowflake, Databricks) Cloud experience with AWS, Azure or GCP Excellent SQL and data modelling skills (data lakes, warehousing, OLTP/OLAP) Experience with access control, data migration and data governance Proficient in More ❯

NLP, image classifiers, deep learning, or large language models. Experience with experiment design and conducting A/B tests. Experience building shared or platform-style ML systems. Experience with Databricks and PySpark. Experience working with AWS or another cloud platform (GCP/Azure). #J-18808-Ljbffr More ❯

genuinely keen to keep learning new stuff and stay ahead of what's coming next in the industry Bonus points if you've worked with Azure Synapse, Sharedo or Databricks Python skills would be handy but not essential Ready to Take the Next Step? If you're a Database Developer who's ready to elevate your career APPLY NOW or 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 ❯

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 ❯

lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply More ❯

to tackling new challenges A strong desire to learn and share knowledge Ideally, you'll also have Certification for at least one non-SAP data platform, ideally Snowflake or Databricks Knowledge of ETL tools like SAP Data Services, Matillion, Fivetran or SNP Glue Hands-on experience with data visualisation tools such as Power BI (including data modelling and extraction) Hands More ❯

performance efficiency. Support cloud migration projects, including planning, execution, and post-migration support. Implement and manage a range of Azure services such as Azure Virtual Machines, Azure Storage, Azure Databricks, Microsoft Sentinel and more. Automate deployment and management processes using Azure Bicep (infrastructure as code) and by utilising tools such as Azure CLI and Azure DevOps. Monitor and troubleshoot cloud More ❯

capacity. Deep experience with: Agile delivery tools and practices (e.g., Azure DevOps or JIRA). Microsoft Azure & Power BI, including Data Warehouses and Lake Houses. Data technologies such as Databricks and Snowflake. Data Governance and Management principles and frameworks. Designing and maintaining scalable, reusable reporting solutions. You have strong skills in business analysis and data requirements gathering. You have experience More ❯

gathering through to testing. Key Responsibilities: Developing technical ability and knowledge by shadowing and assisting with the development of data solutions in Azure components such as Azure Data Factory, Databricks, Synapse and Azure SQL Database Assisting development activities on our legacy SQL Server data warehouses and facilitating our transition to Azure Performing root cause analysis on reported issues and helping More ❯

Python & C++ for building ML pipelines, optimizing AI inference, and ensuring low-latency execution. Expertise in AI-ready infrastructure, data engineering, modern data management skills, and platforms such as Databricks and SageMaker. Ensure the scalability, reliability, and security of AI/ML systems. Ability to understand and align with business expectations, and write clear and concise OKRs (Objectives and Key More ❯

a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing - Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role get in More ❯