151 to 175 of 252 Databricks Jobs in the North of England

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 ❯

genuinely passionate about understanding the challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform implementations; and OLTP and analytical More ❯

data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data More ❯

data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data More ❯

problem to be solved Experience collecting, parsing, cleansing and analysing large data sets and articulate data insight in a clear way Working knowledge of multiple relevant technologies such as (Databricks, Azure ML, SQL databases, Data Visualisation tools such as Tableau or PowerBI) Strong knowledge of one or more relevant languages such as Python/R/SQL This role may More ❯

Discrete Event Simulation, etc). Excellent team management skills to lead, motivate and grow a team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad product-set and drive forward the delivery of new products and product features. Strong More ❯

Responsibilities will include designing, implementing, and maintaining the Databricks platform, and providing operational support. Operational support responsibilities include platform set-up and configuration, workspace administration, resource monitoring, providing technical support to data engineering, Data Science/ML, and Application/integration teams, performing restores/recoveries, troubleshooting service issues, determining the root causes of issues, and resolving issues. The position … will also involve the management of security and changes. The position will work closely with the Team Lead, other Databricks Administrators, System Administrators, and Data Engineers/Scientists/Architects/Modelers/Analysts. ͏ Required Skills: 3+ years of production support of the Databricks platform Preferred: 2+ years of experience of AWS/Azure/GCP PaaS admin 2+ years More ❯

Job Description Senior Solutions Architect – Databricks Architect Salary: Up to £150k + Benefits Location: Hybrid (Offices across the UK/largely remote) Type: Full-time/Permanent Travel: Occasional, as required Are you passionate about shaping cutting-edge data solutions and driving innovation with Databricks? Do you thrive in a client-facing, solution-oriented environment where your technical expertise and … and successful delivery. Stay Ahead: Share insights on market trends, competitive intelligence, and customer feedback to help shape our product strategy and positioning. What You Bring Proven experience in Databricks solutioning, ideally in a presales or consulting role within a services-led business. A strong track record of presenting complex technical solutions to diverse audiences, including C-level stakeholders. Deep … and/or AWS) and modern data architectures. Commercial acumen with the ability to link technical solutions to business outcomes. Excellent communication, presentation, and negotiation skills. Relevant certifications in Databricks, Azure OR AWS are highly desirable. Why Apply Now? Work with a passionate, collaborative team at the forefront of data and AI innovation. Engage with leading clients across industries, solving More ❯

technical background but has recently worked in a managerial role focused on mentoring, coaching, reviewing code, and standard setting. The role will focus on the development of the clients Databricks platform (AWS is preferred but open to Azure/GCP experience also), utilising Python and SQL, contribute to CI/CD pipelines, strategy development, cost optimisation and data governance frameworks. … Lead a team of eight engineers, helping to mentor and coach the team. Manage the adoption of automated CI/CD pipelines. Contribute to the development of a new Databricks system in AWS (AWS experience is preferred but they are open to managers with Azure experience). Cost optimisation. Establish data governance frameworks for secure handling of delivery information. Requirements … Engineer: 6+ years experience in a hands on data engineer role, with over a years recent experience in a managerial role, coaching similar sized teams. Deep knowledge of the Databricks platform. Hands on Python development experience. SQL optimisation. Experience with large scale data pipeline optimisation. Experience with Streaming and Batch Spark workloads. Strong people management skills. Role: Lead Data Engineer More ❯

digital transformation. The ideal candidate has a technical background with recent managerial experience focused on mentoring, coaching, code review, and standard setting. The role involves developing the client's Databricks platform (AWS preferred, open to Azure or GCP), utilizing Python and SQL, contributing to CI/CD pipelines, strategy development, cost optimization, and data governance frameworks. Responsibilities Manage and mentor … a team of eight data engineers. Oversee the adoption of automated CI/CD pipelines. Implement a new delivery roadmap. Contribute to the development of a Databricks system in AWS (or Azure/GCP). Optimize costs associated with data infrastructure. Establish data governance frameworks for secure data handling. Requirements 6+ years of hands-on experience as a data engineer … with at least 1 year in a managerial role coaching similar-sized teams. Deep knowledge of the Databricks platform. Experience with large-scale data pipeline optimization. Experience with Streaming and Batch Spark workloads. To discuss this opportunity further, please APPLY NOW for a no-obligation chat with your VIQU Consultant. You can also contact Jack McManus at [email protected]. More ❯

technical background but has recently worked in a managerial role focused on mentoring, coaching, reviewing code, and standard setting. The role will focus on the development of the clients Databricks platform (AWS is preferred but open to Azure.GCP experience also), utilising Python and SQL, contribute to CI/CD pipelines, strategy development, cost optimisation and data governance frameworks. Job duties … engineers, helping to mentor and coach the team. Manage the adoption of automated CI/CD pipelines. Implement a new delivery roadmap. Contribute to the development of a new Databricks system in AWS (AWS experience is preferred but they are open to managers with Azure experience). Cost optimisation. Establish data governance frameworks for secure handling of delivery information. Requirements … Manager: 6+ years experience in a hands on data engineer role, with over a years recent experience in a managerial role, coaching similar sized teams. Deep knowledge of the Databricks platform. Hands on Python development experience. SQL optimisation. Experience with large scale data pipeline optimisation. Experience with Streaming and Batch Spark workloads. Strong people management skills. Role: Data Engineering Manager More ❯

transformation. The ideal candidate will have a technical background with recent managerial experience involving mentoring, coaching, code review, and standard setting. The role focuses on developing the client's Databricks platform (AWS experience preferred, but open to Azure or GCP), utilizing Python and SQL, contributing to CI/CD pipelines, strategy development, cost optimisation, and data governance frameworks. Key Responsibilities … of eight data engineers. Oversee the adoption and integration of automated CI/CD pipelines. Implement a new delivery roadmap for data projects. Lead the development of a new Databricks system on AWS (or Azure/GCP as applicable). Drive cost optimisation initiatives. Establish and enforce data governance frameworks to ensure secure data handling. Requirements Minimum of 6+ years … experience as a hands-on data engineer. At least 1+ years' recent experience in a managerial role leading similar-sized teams. Deep expertise in the Databricks platform. Proficiency in Python development. Strong SQL optimisation skills. Experience with large-scale data pipeline optimisation. Knowledge of Streaming and Batch Spark workloads. Excellent people management skills. Application Process To discuss this opportunity further More ❯

technical background but has recently worked in a managerial role focused on mentoring, coaching, reviewing code, and standard setting. The role will focus on the development of the clients Databricks platform (AWS is preferred but open to AzuregCP experience also), utilising Python and SQL, contribute to CI/CD pipelines, strategy development, cost optimisation and data governance frameworks. Job duties … engineers, helping to mentor and coach the team. Manage the adoption of automated CI/CD pipelines. Implement a new delivery roadmap. Contribute to the development of a new Databricks system in AWS (AWS experience is preferred but they are open to managers with Azure experience). Cost optimisation. Establish data governance frameworks for secure handling of delivery information. Requirements … Manager: 6+ years experience in a hands on data engineer role, with over a years recent experience in a managerial role, coaching similar sized teams. Deep knowledge of the Databricks platform. Experience with large scale data pipeline optimisation. Experience with Streaming and Batch Spark workloads. Location: Leeds (One day on site). To discuss this exciting opportunity in more detail More ❯

solutions within their data infrastructure. They work on an AWS tech stack, but are open to seeing candidates from Azure backgrounds too, as long as you have experience leveraging Databricks as this is a core part of their tech stack. This is a brilliant opportunity for a Data Scientist to make a tangible impact on a business that is investing … its data capabilities! Requirements Experience developing and deploying machine learning models Skills in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn Hands-on experience with Databricks (either on AWS or Azure) Understanding of ML Ops principles is beneficial Confident working independently with a can-do attitude Benefits Salary up to £60,000 depending on experience More ❯

Date: 15.07.2025 col-wide Job Description: My client are a leading data partner of Microsoft and are looking for an experienced consultant and architect with expertise in MS Fabric, Databricks, and the Azure tech stack to join their expanding team. Salary and Benefits: Competitive salary of £80k - £100k (DOE) Performance-related bonus of up to 10% Hybrid remote working (between … in office) 25 days annual leave Private medical care Free provision of MS data certifications Role and Responsibilities: Implementing MS Fabric solutions including Fabric Lakehouse and Warehouse solutions. Implementing Databricks and MS Azure solutions catered to specific client requirements. Presenting and explaining architectural decisions to a variety of key stakeholders. Support clients across a range of industries and sectors. Debugging More ❯

and application workload management. Proficiency in object-oriented development techniques. Understanding of modern data processing architectures such as Data Lakehouse. Experience in data engineering technologies such as Apache Spark, Databricks, Python, and Scala. Experience working collaboratively as part of an Agile development squad. Degree in Computer Science or related subject. Bonus Points: Experience in the analytics industry. Experience using Azure … cloud environment for DevOps and application architecture development. Experience in projects using Azure Databricks data platform. Experience with managing and coaching developers. What We Offer: Competitive salary up to £80,000 + 10% bonus. Hybrid working in Manchester city centre. Opportunity to work on a platform with real impact. Mirai believes in the power of diversity and the importance of More ❯

insights-all while following best practices in ML Ops and leveraging AI-powered tools to boost your productivity. Our Tech Stack Data Pipeline: Data sources → Debezium/Kafka → S3 → Databricks/Lambda → S3 (Delta format)/Embedded → Reporting/Notifications Infrastructure: AWS cloud managed via Terraform. Responsibilities Develop & Deploy ML Models: Build models that power personalisation, recommendations, and anomaly detection. … experience in applied machine learning and production model deployment. Proficiency in Python, SQL, and ML frameworks like TensorFlow, PyTorch, or scikit-learn. Hands-on experience with AWS services and Databricks; familiarity with ML Ops principles is a plus. Ability to quickly learn new tools and independently deliver scalable, high-quality solutions. Experience with data pipelines (Kafka, Debezium, S3, Lambda, Delta More ❯

lake architectures, and data analytics solutions. Ensure best practices in data management, data integration, and data security are adhered to throughout the project lifecycle. Collaborate with AWS, Azure, GCP, Databricks, and Snowflake experts to leverage cloud capabilities and ensure optimal performance of data solutions. Stakeholder Management: Act as the primary point of contact for clients, providing regular project updates and … understanding of data architectures, data integration, and data analytics. Experience with cloud platforms including AWS, Azure, and Google Cloud Platform (GCP). Experience migrating On prem data platforms to Databricks and Snowflake for data engineering and analytics. Experience with SAP systems and SAP HANA is a plus. Excellent project management skills, with proficiency in project management tools (e.g., MS Project More ❯

Data Engineering. We are looking for: Demonstratable data engineering skills, with a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Fabric, Azure Databricks or Azure Synapse Proficient with SQL and Python Great communication skills, effectively participating with Senior Stakeholders A record of managing and leading small teams Must have some consulting experience Nice More ❯

APIs, analytics suites, and third-party data partnerships. Align roadmaps with our pan-European growth goals and client needs. Data Platform: Oversee the architecture of our data lakehouse (Snowflake, Databricks) and real-time pipelines (Kafka, AWS Kinesis). Salesforce Integrations: Ensure seamless workflows across Financial Services Cloud, Marketing Cloud, and CPQ. Decision Engine: Prioritise AI/ML use cases (e.g. More ❯

with the business and data team to establish a self-service data culture. Skills you will need: Over 5 years of experience in a Data Engineering role. Experience with Databricks, Data Factory, Azure SQL, Azure SQL Data Warehouse. Proven ability to deliver enterprise-scale data solutions, infrastructure, and architecture. Ability to manage multiple priorities in a fast-paced environment while More ❯

Products: Monetisable APIs, analytics suites, and third-party data partnerships. Align roadmaps with our pan-European growth goals and client needs. Data Platform: Oversee architecture of data lakehouse (Snowflake, Databricks) and real-time pipelines (Kafka, AWS Kinesis). Salesforce Integrations: Ensure seamless workflows across Financial Services Cloud, Marketing Cloud, and CPQ. Decision Engine: Prioritise AI/ML use cases such More ❯

of all levels Skilled in working with LLMs, vector databases, RAG pipelines, prompt engineering, and fine-tuning Comfortable using cloud platforms (especially Azure), and familiar with tools such as Databricks, Hugging Face, LangChain, and open-source GenAI libraries Naturally curious and passionate about staying ahead of AI and data science trends Commercially aware, with the ability to identify new opportunities 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 ❯

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 ❯