1 to 25 of 32 Permanent Databricks Jobs in Manchester

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing to More ❯

maturity assessments and alignment of gaps to enabling technology solutions Appreciation/Experience in designing and governing data platform architectures (e.g. broad understanding of Informatica, Collibra, Ab Initio, Snowflake, Databricks) Appreciation of and interest in attaining end-to-end data skills e.g., data quality, metadata, data-mesh, data security, privacy & compliance Experience with Enterprise/platform/application (e.g. cloud More ❯

and implement data systems using Azure Data Lake, Blob Storage, Cosmos DB, and SQL Database Build and manage ETL pipelines with Azure Data Factory Develop big data workflows using Databricks and Apache Spark Write and maintain infrastructure code using Terraform (not just using modules writing the code is essential) Monitor and improve cloud performance, security, and documentation Mentor junior engineers More ❯

Python (PySpark) . Ingest, transform, and curate data from multiple sources into Azure Data Lake and Delta Lake formats. Build and optimize datasets for performance and reliability in Azure Databricks . Collaborate with analysts and business stakeholders to translate data requirements into robust technical solutions. Implement and maintain ETL/ELT pipelines using Azure Data Factory or Synapse Pipelines . … Monitor and troubleshoot production jobs and processes. Preferred Skills & Experience: Strong proficiency in SQL for data transformation and performance tuning. Solid experience with Python , ideally using PySpark in Azure Databricks . Hands-on experience with Azure Data Lake Storage Gen2 . Understanding of data warehouse concepts , dimensional modelling , and data architecture . Experience working with Delta Lake and large-scale More ❯

Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning Deals, Advisory and Restructuring capabilities. We deliver tangible results for global businesses, their investors, and stakeholders when complex problems arise, and More ❯

working model (1-2 days in office) Pension contribution Great opportunities for career progression And many more Role & Responsibilities Design and deliver solutions using MS Fabric, ADF, ADL, Synapse, Databricks, SQL, and Python. Work closely with a variety of clients to gather requirements and deliver solutions. Be willing to engage and assist in pre-sales activities, bids, proposals etc. Use … in building out, developing, and training the data engineering function. What do I need to apply Strong MS data engineering expertise (Fabric, ADF, ADL, Synapse, SQL) Expert use of Databricks Strong Python experience Consultancy experience Leadership experience My client are looking to book in first stage interviews for next week and slots are already filling up fast. I have limited More ❯

working model (1-2 days in office) Pension contribution Great opportunities for career progression And many more Role & Responsibilities Design and deliver solutions using MS Fabric, ADF, ADL, Synapse, Databricks, SQL, and Python. Work closely with a variety of clients to gather requirements and deliver solutions. Be willing to engage and assist in pre-sales activities, bids, proposals etc. Use … in building out, developing, and training the data engineering function. What do I need to apply Strong MS data engineering expertise (Fabric, ADF, ADL, Synapse, SQL) Expert use of Databricks Strong Python experience Consultancy experience Leadership experience My client are looking to book in first stage interviews for next week and slots are already filling up fast. I have limited More ❯

models, exploring customer behaviours, and supporting personalisation strategies - with opportunities to work on NLP projects too. You'll also take ownership of projects, support our data science tooling (including Databricks and AWS), and collaborate closely with experts in Data Engineering, BI, Analytics, and Data Governance to solve problems and create scalable solutions that make a tangible difference. What's in … and continuously develop your skills in a collaborative, hybrid working environment. About you Role Responsibilities: Design, build, and maintain scalable machine learning pipelines using Python and PySpark. Work within Databricks to develop, schedule, and monitor data workflows, utilising Databricks Asset Bundles. Collaborate with data analysts, engineers, and other scientists to deliver clean, reliable, and well-documented datasets. Develop and maintain … skills with a problem-solving mindset. Strong analytical and communication skills, with the ability to tailor complex insights for both technical and non-technical audiences. Hands-on experience with Databricks for deploying, monitoring, and maintaining machine learning pipelines. Experience working with AWS data services and architectures. Good understanding of code versioning and CI/CD tools and practices. Familiarity with More ❯

models, exploring customer behaviours, and supporting personalisation strategies - with opportunities to work on NLP projects too. You'll also take ownership of projects, support our data science tooling (including Databricks and AWS), and collaborate closely with experts in Data Engineering, BI, Analytics, and Data Governance to solve problems and create scalable solutions that make a tangible difference. What's in … and continuously develop your skills in a collaborative, hybrid working environment. About you Role Responsibilities: Design, build, and maintain scalable machine learning pipelines using Python and PySpark. Work within Databricks to develop, schedule, and monitor data workflows, utilising Databricks Asset Bundles. Collaborate with data analysts, engineers, and other scientists to deliver clean, reliable, and well-documented datasets. Develop and maintain … skills with a problem-solving mindset. Strong analytical and communication skills, with the ability to tailor complex insights for both technical and non-technical audiences. Hands-on experience with Databricks for deploying, monitoring, and maintaining machine learning pipelines. Experience working with AWS data services and architectures. Good understanding of code versioning and CI/CD tools and practices. Familiarity with More ❯

login/join with: We are looking for an experienced Data Governance Lead to drive enterprise-wide data governance initiatives with a focus on modern cloud data platforms, specifically Databricks and Microsoft Azure. This role will define and enforce data policies, standards, and best practices that ensure high data quality, security, and regulatory compliance across our data ecosystem. You will … implement enterprise-level data governance frameworks, standards, and operating models, aligned with business objectives and compliance requirements. Collaborate with data engineering and platform teams to integrate data governance within Databricks and Azure environments, including Data Lake, Synapse, and Purview. Define and enforce data classification, access management, and lineage tracking using Azure-native and third-party tools. Lead the Data Governance … pipelines and lakehouses. Champion the use of metadata management, data catalogs (e.g., Azure Purview, Unity Catalog), and standardized business glossaries. Provide governance oversight for data sharing and consumption in Databricks notebooks, Power BI reports, and machine learning workflows. Drive awareness and adoption of governance policies through training, documentation, and data literacy programs. Ensure data governance supports regulatory compliance, (e.g. GDPR More ❯

and version management of large numbers of data science models (Azure DevOps). You'll support the implementation of Machine Learning Ops on cloud (Azure & Azure ML. Experience with Databricks is advantageous.) You'll protect against model degradation and operational performance issues through the development and continual automated monitoring of model execution and model quality. You'll manage automatic model … and integration Basic understanding of networking concepts within Azure Familiarity with Docker and Kubernetes is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such More ❯

and version management of large numbers of data science models (Azure DevOps). You'll support the implementation of Machine Learning Ops on cloud (Azure & Azure ML. Experience with Databricks is advantageous.) You'll protect against model degradation and operational performance issues through the development and continual automated monitoring of model execution and model quality. You'll manage automatic model … and integration Basic understanding of networking concepts within Azure Familiarity with Docker and Kubernetes is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such More ❯