1 to 25 of 54 Databricks Jobs in the North West

SFTP/FTPS), and remediation of security vulnerabilities (DAST, Azure Defender). Expertise in Python for writing efficient code and maintaining reusable libraries. Experienced with microservice design patterns, and Databricks/Spark for big data processing. Strong knowledge of SQL/NoSQL databases corresponding ELT workflows. Excellent problem-solving, communication, and collaboration skills in fast-paced environments. 3 years' professional More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester(Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies)About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester (Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies) About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects More ❯

to Haves": • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (e.g. AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (e.g. Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks. Your characteristics as a Consultant will include: • Driven by delivering quality work, with More ❯

Strong DAX skills and the ability to write/optimise complex T-SQL queries. • Experience in applying AI tools to enhance analytics or business operations (desirable). • Familiarity with Databricks, and predictive analytics is beneficial. • Experience with Python for forecasting or scenario modelling. • Experience in insurance or financial services is an advantage. • Excellent analytical and problem-solving capabilities. • Strong communication More ❯

Key Experience Required: Proven experience as a Data Solution Architect on complex, multi-disciplinary consulting engagements Deep knowledge of Kafka , Confluent , and event-driven architecture Hands-on experience with Databricks , Unity Catalog , and Lakehouse architectures Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL/NoSQL databases, and programming (Python, R, Java) Knowledge of data More ❯

enhance analytics or operations Comfortable coding in Python Strong DAX and T-SQL skills, including query optimization Industry experience in insurance or financial services is a plus Familiarity with Databricks is advantageous More ❯

large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to evaluate More ❯

frameworks. Build and optimize RAG pipelines using models like GPT, Claude, or other LLMs integrated with document retrieval systems. Develop production-ready ML applications in cloud environments (AWS, SageMaker, Databricks, etc.). Leverage GPU-based computing resources and CUDA/Nvidia for performance optimization in training and inference. Collaborate with data engineers, software developers, and product teams to deliver AI More ❯

practices and tools (Azure DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within More ❯

and production-ready Tech Stack & Experience: Strong Power BI (including DAX & paginated reports) Advanced SSAS Tabular model development T-SQL development and data modelling Exposure to AI tools , Python, Databricks or predictive analytics (beneficial, not essential) Insurance or wider financial services background preferred Strong communicator - confident engaging stakeholders across the business If you're a business-facing BI professional looking More ❯

technologies Cloud migration frameworks (Azure functions, Logic Apps, App Services) Java or Microsoft technologies, Azure platform and .Net ecosystem Database technologies and platforms like SQL, NoSQL, Data Lake, Snowflake, Databricks, MongoDB, Oracle Observability platforms like Splunk, Dynatrace, Datadog, Grafana About Royal London We're the UK's largest mutual life, pensions and investment company, offering protection, long-term savings and More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

delivery within constraints. Demonstrate strong organisational skills to handle concurrent tasks. Ability to manage workload efficiently, addressing various issues promptly. Proficient in data analytics and manipulation Desirable: PowerBI, SQL, DataBricks, ArcGIS, ArcOnline, Excel, Google Sheets, AppSheets, ProntoForms, Jira, Lucid. If you don't meet all of our outlined requirements we'd still love for you to apply. If you feel More ❯

needs. Mentor and provide leadership to your junior team members. Technical Requirements Knowledge of Business Intelligence – Data Warehouse methodology, ETL, etc. Cloud Solutions in Azure SQL and Relational Databases DataBricks experience is highly advantageous Benefits Performance Bonus Generous Annual Leave allowance Buy and Sell Holiday scheme Medical coverage Life insurance Pension Retail Discounts Apply Now! If you are an experienced More ❯

needs. Mentor and provide leadership to your junior team members. Technical Requirements Knowledge of Business Intelligence - Data Warehouse methodology, ETL, etc. Cloud Solutions in Azure SQL and Relational Databases DataBricks experience is highly advantageous Benefits Performance Bonus Generous Annual Leave allowance Buy and Sell Holiday scheme Medical coverage Life insurance Pension Retail Discounts Apply Now! If you are an experienced More ❯

Employer description: Matillion is a fast-growing, cloud-native data integration and transformation company, enabling businesses to build and scale data pipelines across platforms like Snowflake, BigQuery, Redshift, Databricks, and Synapse. With global offices we support leading brands like Cisco, Slack, and TUI in turning data into actionable insight. Recognized as a great place to work in both the UK More ❯

in Infrastructure as Code (IaC) and deploying infrastructure across environments Managing cloud infrastructure with a DevOps approach Handling and transforming various data types (JSON, CSV, etc.) using Apache Spark, Databricks, or Hadoop Understanding modern data system architectures (Data Warehouse, Data Lakes, Data Meshes) and their use cases Creating data pipelines on cloud platforms with error handling and reusable libraries Documenting More ❯

for: Design and manage Azure infrastructure, including AD, VMs, networking, storage, and compliance Develop Infrastructure-as-Code using Terraform; automate tasks with PowerShell and Python Implement and support Azure Databricks and Microsoft Fabric for data and analytics workloads Monitor environments with Azure Monitor, Log Analytics, and Application Insights Lead technical handovers, mentoring teams and ensuring smooth transition to support Collaborate More ❯