276 to 300 of 506 Databricks Jobs in England

the customer business. Able to understand the architecture on any Hyper-scaler [Azure and GCP] and identify potential opportunities for improvement. Knowledge of cutting edge data platforms such as Databricks & Snowflake Able to Create Business Plan for expanding business – Potential Business Opportunities/Competition Strengths, Weaknesses, Continuous improvement, Innovation, and growth Mindset Key Skills Strategic Thinking and Execution Deep E More ❯

architecture in a complex organisation Expertise in Kimball and Data Vault 2.0 methodologies Strong grasp of data modelling, metadata, and governance knowledge Hands-on experience with modern data platforms (Databricks, Delta Lake, Unity Catalog, Azure) Ability to define and drive architecture principles, patterns, and best practices Excellent communication and stakeholder management skills Retail industry experience is a bonus but not More ❯

throughout the customer journey, delivering tailored demonstrations and customer POCs based on agreed-upon requirements. Develop deep technical domain expertise in Data Activation, CDP, data warehousing (e.g., Snowflake, BigQuery, Databricks), and integration platforms, with a focus on Enterprise use cases across various industries within EMEA, including financial services, retail, SaaS, and similar enterprises. Be accountable for the exceptional customer experience More ❯

catalogues, ad conversion data, targeting and measurement, as well as the changing privacy and compliance landscape. Have a data engineering background, or working experience with data technologies such as Databricks, Spark, Kafka, SQL and Airflow. Have a strong sense of ownership and track record of delivery. You get huge satisfaction from tackling complex and ambitious problems, and delivering the highest More ❯

leading multiple teams and functions in a high-growth environment. Nice to have Experience working in a product-led or B2C business. Familiarity with modern data tooling (e.g., SQL, Databricks, etc.). Degree in Mathematics, Statistics, Economics or a related field. What we're really looking for: ️ Someone with a genuine interest in Chip and is excited about being part More ❯

based team, working mostly remotely with one day on-site per week. In this role, you will manage the design and delivery of scalable, cloud-based data solutions using Databricks, Python, and SQL. You will lead and mentor a team of data engineers, drive engineering best practices, and own the data architecture strategy in an agile environment. Key Responsibilities Manage … the development of data pipelines and solutions using Databricks, Python, and SQL Oversee the design and maintenance of data models that support analytics and business intelligence needs Ensure efficient ELT/ETL processes on AWS or Azure cloud platforms Collaborate with analysts, architects, and stakeholders to deliver high-quality data products Promote best practices in testing, CI/CD, version … support the data engineering team, taking accountability for technical delivery and decision-making Drive continuous improvements in platform performance, cost-efficiency, and reliability Key Requirements Hands-on experience with Databricks or similar data engineering platforms Strong Python and SQL skills in data engineering contexts Expertise in data modelling and building analytics-ready datasets Experience with AWS or Azure cloud data More ❯

ll build and optimise data pipelines on our Azure platform to power analytics, dashboards, and AI. You'll also help drive our move to a modern Lakehouse architecture with Databricks and Delta/Iceberg Table format, and help shape our future integration strategy. To view the full Job Description, please Click Here Who we are looking for: You have strong … and experience delivering pipelines in a cloud environment (Azure, AWS, or GCP). Experience with Azure Data Factory, Synapse, or Data Lake Gen2 is beneficial, as is exposure to Databricks, Delta Lake, Iceberg, CI/CD, Power BI, or middleware/integration tools. Above all, you can deliver reliable, well-documented data solutions and thrive in collaborative, agile teams. Benefits More ❯

also mentoring customers to foster self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock valuable insights … Translate key business requirements into effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving technical challenges … Deep understanding of at least one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to shifting customer requirements and More ❯

also mentoring customers to foster self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock valuable insights … Translate key business requirements into effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving technical challenges … Deep understanding of at least one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to shifting customer requirements and More ❯

also mentoring customers to foster self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock valuable insights … Translate key business requirements into effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving technical challenges … Deep understanding of at least one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to shifting customer requirements and More ❯

also mentoring customers to foster self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock valuable insights … Translate key business requirements into effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving technical challenges … Deep understanding of at least one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to shifting customer requirements and More ❯

also mentoring customers to foster self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock valuable insights … Translate key business requirements into effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving technical challenges … Deep understanding of at least one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to shifting customer requirements and More ❯

critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with … Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of More ❯

critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with … Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of 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 ❯

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 ❯

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 ❯

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 ❯

remote. Our client is looking for an experienced Lead Data Engineer with the following skill set: Experience with Azure data services, Azure Data Factory (ADF), API development and integration, Databricks, Python programming, Unit testing, GIT version control, Data management and data governance, Data security. If this is you, get in touch ASAP and send us your CV More ❯

Azure Functions is a plus Demonstrated experience building APIs to support analytics/research/actuarial functions in an insurance company setting Experience with cloud technologies like Snowflake and Databricks Familiarity with the MLOps framework Required Skills Exceptional collaboration and relationship building skills Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces Resilient problem solving and critical More ❯

Azure Functions is a plus Demonstrated experience building APIs to support analytics/research/actuarial functions in an insurance company setting Experience with cloud technologies like Snowflake and Databricks Familiarity with the MLOps framework Required Skills Exceptional collaboration and relationship building skills Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces Resilient problem solving and critical More ❯

Principal Architect – Data & Information Architect, Architecture, Data & Information, Data & Information Architecture, Data Architect, Data, Analytics, Cloud, Azure, Databricks, PowerBI, Fabric, Tableau, Alteryx £80-88,000 per annum + 5k Car Allowance Personal & Company performance bonus - 20% Bonus Warrington – 3 days per week onsite Our client is currently looking for a Solutions Architect to join their Architecture function to Oversee the More ❯

Possessing in-depth knowledge of specific technologies, software, and products. Key strengths on the following areas are required: Cloud technologies - Azure Cloud, AWS. Data Lake & Data Warehouse: SparkDB, Azure Databricks Key accountability Consulting and Advisory: Analysing client needs, identifying technical challenges, and recommending solutions. Solution Design and Implementation: Developing and implementing technical solutions that align with client objectives. Client Communication More ❯

team to ensure successful implementation. Essential Skills Proficient in Python, with familiarity with legacy code bases in VBA and SQL. Strong understanding of cloud-based data ecosystems, including Snowflake, Databricks, and the Azure software stack. Deep knowledge of front and middle office processes within asset management. Solid understanding of financial instruments, trade lifecycle events, and high-level strategic thinking used More ❯

fast-growing team that plays an integral part of the revenue producing arm of a company, then our team is for you. Technologies include Scala, Python, Apache Flink, Spark, Databricks, and AWS (ECS, Lambda, DynamoDB, WAF, among others). Experience in these areas is preferred but not required. Qualifications: You collaborate with team members and project management to identify requirements More ❯