1 to 25 of 33 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 ❯

infrastructure and capabilities Required Experience Strong experience with Python, SQL, and ETL processes for healthcare data pipelines Proven expertise managing data in Azure, such as Azure Data Factory, Azure Databricks, or Azure Synapse Analytics Experience with data lake and data warehouse architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments 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 ❯

on experience with Terraform and Bicep, deploying Azure infrastructure with automation, templates, and CI/CD pipelines. Azure Expertise: Solid experience with Azure services such as Synapse, Data Factory, Databricks, DevOps, networking, and security best practices. Effective Communicator & Team Player: Ability to translate technical concepts for diverse audiences and collaborate effectively. Creative Problem Solver: Enjoy solving complex infrastructure challenges with 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Virtual Machines/Scale Sets Azure Kubernetes Service (deployment + management) API Management App Services/App Service Environments Azure SQL and MI Functions Networking App Insights Data Factory Databricks Identity Management (Entra) Proven experience with pipeline creation/management, specifically in Azure DevOps (ADO) Solid understanding of Terraform HELM Flux Powershell/Azure CLI Please send CV for ful More ❯

Virtual Machines/Scale Sets Azure Kubernetes Service (deployment + management) API Management App Services/App Service Environments Azure SQL and MI Functions Networking App Insights Data Factory Databricks Identity Management (Entra) Proven experience with pipeline creation/management, specifically in Azure DevOps (ADO) Solid understanding of Terraform HELM Flux Powershell/Azure CLI Please send CV for ful More ❯

Virtual Machines/Scale Sets Azure Kubernetes Service (deployment + management) API Management App Services/App Service Environments Azure SQL and MI Functions Networking App Insights Data Factory Databricks Identity Management (Entra) Proven experience with pipeline creation/management, specifically in Azure DevOps (ADO) Solid understanding of Terraform HELM Flux Powershell/Azure CLI Please send CV for ful 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 ❯

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 collaborate with cross-functional … 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 ❯

Southeast Asia, Australia, and New Zealand-including many of the world's largest Fortune 1000 and Global 2000 companies. With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS … Key Qualifications: 1-2 years of experience in software development. Experience with data pipeline development and optimization (ETL/ELT processes). Solid understanding of distributed systems, databases,(PostgreSQL, Databricks, Clickhouse, ElasticSearch), and performance tuning. Familiarity with modern web frameworks and front-end technologies (React, Vue, Angular, etc.) Experience with data processing frameworks (Apache Spark, Kafka, Airflow, Dagster or similar More ❯