1 to 25 of 27 Databricks Jobs in Manchester

relational databases Building scalable, reliable data engineering solutions Working within Agile delivery environments Desirable Experience Experience with any of the following would be advantageous: Databricks Microsoft Fabric Oracle databases Azure cloud technologies Git/source control Reporting and analytics platforms What's on Offer? Salary ...

truth to support advanced analytics and AI. Data Warehouse Architect Responsibilities: Design and implement enterprise-wide data architecture across Microsoft Fabric (OneLake) and Databricks (Unity Catalog) Build scalable lakehouse and warehouse solutions using Databricks SQL and Fabric SQL endpoints Develop robust data pipelines with Databricks Workflows, Delta Live Tables … minimise duplication Establish data governance frameworks, including access controls, lineage, and Row-Level Security (RLS) Manage and optimise compute resources across Fabric and Databricks environments Lead CI/CD implementation using Azure DevOps, GitHub, and Databricks Asset Bundles Drive adoption of best practices in data modelling and architecture patterns ...

working with stakeholders to understand needs and present findings. ·High attention to detail and strong data quality mindset. Desirable Skills & Attributes: ·Experience working with Databricks for data transformation or analytics workflows. ·Experience developing Salesforce reports and dashboards. ·Foundational knowledge of Python for data manipulation, automation, or analysis. ·Experience with cloud ...

Excellent communication and consulting skills, with the ability to operate at board and C-suite level - Familiarity with technologies such as Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python, and SQL - Experience working within Agile or SAFe delivery frameworks; proficiency with Jira and Confluence is advantageous ...

integration design ·Using Python and SQL to build robust, scalable AI and data solutions ·Working with cloud platforms such as AWS, Azure, GCP or Databricks ·Supporting MLOps, LLMOps, CI/CD and software engineering best practice ·Collaborating with technical and non-technical stakeholders across complex programmes ·Helping identify technical, delivery ...

experience on a modern data stack. Strong SQL and hands-on experience with a modern cloud data warehouse (Snowflake preferred; BigQuery, Redshift, Synapse or Databricks considered). Hands-on dbt experience – building and testing models. Experience with an ELT tool such as Fivetran (or equivalent). Working knowledge of Azure ...

ideal for someone who combines strong engineering capability with a solid understanding of the cyber domain. Key skills required: Strong Python development experience Databricks and PySpark expertise Experience with cloud-based data platforms (AWS, Azure and/or GCP) Data Engineering and analytics at scale Apache Spark ecosystems Cyber Security ...

environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms - Exposure to scalable ...

Architect Google Machine Learning Engineer Certifications in Conversational AI (Dialogflow CX or equivalent) TOGAF/Enterprise Architecture certifications Data certifications (good to have): CDMP, Databricks, Snowflake ...

Architect Google Machine Learning Engineer Certifications in Conversational AI (Dialogflow CX or equivalent) TOGAF/Enterprise Architecture certifications Data certifications (good to have): CDMP, Databricks, Snowflake ...

teams Experience Required: ·Experience designing AI, ML or modern data architectures within enterprise environments ·Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies ·Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments ·Experience with LLMs, prompt engineering, embeddings, semantic search ...

Team, working alongside architects, analysts, testers and agile delivery squads. Responsibilities: * Build and maintain scalable, automated data pipelines using Azure tools like Data Factory, Databricks and Logic Apps * Ingest, transform and model data from multiple sources into our enterprise data platform * Optimise data flows for performance, reliability and reusability * Support … platforms, Data modelling, Kimball Methodology, Master Data Services, Data Quality (DQ), Purview * Azure Data Lake, Azure Data Factory, Logic Apps, Azure Databricks, Azure Functions, Azure Synapse * Python, Scala, PySpark * SharePoint, PowerPivot, Power BI, Data integration layers, Database and storage models, Delta loading, External data loads Desirable Experience * PowerShell scripting, Agile ...

contractor resources to maintain operational continuity and quality output Knowledge of data processing frameworks, including ETL pipelines, data integration, and data modeling (experience with Databricks or Spark preferred) Strong analytical and problem-solving skills with the ability to communicate clearly to both technical and non-technical stakeholders Basic understanding ...

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. ...

implement existing ELT pipelines Skills and Experience: Essential to have 3+ years experience in: SQL Python DBT Cloud techs such as Snowflake, BigQuery or Databricks Dimensional Modelling such as Kimball Desirable to have experience with: CI/CD pipelines Kafka; real-time streaming Snowflake as a data warehouse Interview Process ...

quality, and delivery standards. What will your day-to-day look like? Engineering Delivery Build, maintain, and enhance data pipelines using Azure Data Factory, Databricks, Python and T SQL. Apply parameterisation, configuration, and reusable components in ADF and Databricks where appropriate. Support the creation of metadata driven patterns by implementing … including joins, transformations, stored procedures, and performance basics 3+ years Azure Data Factory, including pipeline development, parameter usage, and basic templates 3+ years Databricks experience (PySpark, Delta Lake, notebooks) 2+ years Python Experience Experience working with data warehouses and structured modelling concepts Strong understanding of ETL/ELT practices ...

Digital Data Senior Manager, Data Governance, Data Architecture, Data Engineering, Azure, Fabric, Databricks, Manchester, Hybrid Digital Data Consultant required to work for a highly ambitious and fast-growing Consulting function, based in Manchester on a hybrid basis. xkybehq The expectation is to be in the office circa two days ...

L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania ...

evolving programme of work, spanning areas such as Finance and Actuarial, AI-driven Claims Augmentation, and the development of our Azure Data Platform and Databricks solutions. This is an exciting opportunity to apply your knowledge of Azure, Databricks, and modern data engineering practices to impactful business initiatives. You'll combine … environment and enjoy working as part of a multidisciplinary team. Data Engineer Responsibilities Design, build, and maintain scalable data solutions using Azure Data Factory, Databricks, and Azure SQL Database Provide technical leadership and guidance as a senior member of the development team Produce and maintain clear documentation of data processes ...

Digital Data Director/Consultant, Data Architecture, Data Engineering, Azure, Fabric, Databricks, Manchester, Hybrid Digital Data Director/Consultant required to work for a highly ambitious and fast-growing Consulting function, based in Manchester on a hybrid basis. xkybehq The expectation is to be in the office circa two days ...

stakeholders. Support self-service reporting and data governance. Collaborate with data engineering and technology teams to improve data models. Requirements: Power BI and Databricks proficiency (must hit the ground running) Front-end dashboard and report building Data engineering and pipelining experience Knowledge of Python, Azure, Databricks or similar tools ...

impact opportunity to shape the future of a modern data platform at scale. You will take ownership of architecture, performance, and governance across a Databricks Lakehouse environment, directly influencing how business decisions are made. THE COMPANY They are a global, data-driven organisation operating at the intersection of technology … deliver a scalable and high-performing architecture. Specifically, you can expect to be involved in the following: Design and implement a governed Databricks Lakehouse, including catalog and data structures. Migrate complex legacy SQL into clean, modular, and maintainable pipelines. Build scalable transformation frameworks using Spark and Python or SQL-based ...

looking to grow in a forward-thinking environment. THE ROLE: You will take ownership of supporting and developing data pipelines within a modern Azure Databricks Lakehouse environment. Working closely with engineering teams, you'll contribute to building scalable, high-quality data solutions while developing your technical skillset. Key responsibilities include … development processes Contributing to data engineering and data modelling activities Applying DevOps principles throughout the engineering lifecycle Collaborating across squads and upskilling within the Databricks ecosystem YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Python development Databricks Azure PySpark Understanding of data engineering principles A proactive, growth-mindset ...

will own the quality assurance of Sagacity's client data platform deployments — the Databricks Lakehouse pipelines, gold-layer views, and analytics datasets that drive marketing, billing, credit and debt outcomes for our clients across financial services, retail, energy, telecoms & media, water, and the not-for-profit sector. Working closely with … volume checks, data quality rules, and migration parity — using SPHERE's YAML-driven test framework Investigate test failures systematically: trace root causes through the Databricks Lakehouse stack (bronze silver gold), distinguish pipeline bugs from data issues, and produce clear, evidenced findings for the development team Manage QA work items ...

scalable data pipelines and processing systems Develop data solutions using Python, SQL, or similar technologies Work with distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow Test, troubleshoot, and improve data products to ensure … data-intensive applications and pipelines Strong programming skills in Python and SQL Experience working with at least some of: Distributed computing frameworks (e.g. Spark, Databricks) Cloud platforms (AWS, Azure, or GCP) Workflow orchestration tools (e.g. Airflow) Strong understanding of data system reliability, testing, and performance Experience troubleshooting and improving production ...