101 to 125 of 1,858 Databricks Jobs in England

Experience: 3–5 years in Data Engineering, Data Warehousing, or programming within a dynamic (software) project environment. Data Infrastructure and Engineering Foundations: Data Warehousing: Knowledge of tools like Snowflake, DataBricks, ClickHouse and traditional platforms like PostgreSQL or SQL Server. ETL/ELT Development: Expertise in building pipelines using tools like Apache Airflow, dbt, Dagster. Cloud providers: Proficiency in Microsoft Azure More ❯

practice through contribution to ongoing initiatives. This can include contributing to knowledge-sharing activities, and data services. TECHNICAL SKILLS REQUIRED Strong experience designing and delivering data solutions in either Databricks (Azure or AWS), Microsoft Fabric, Azure Data Factory or Azure Synapse SQL and Python expertise Microsoft Stack (SSIS,SSAS,SSRS) experience Experience working with relational SQL databases either on premises More ❯

data and analytics, unlocking quality growth and operational excellence. What are we looking for? Hands-on experience designing greenfield, scalable data platforms in cloud using Azure D&A stack, Databricks, and Azure Open AI solutions. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tooling (such as Informatica), and scalable data platforms. Proficiency in More ❯

Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow or Databricks for predictive analytics. Integration Technologies: API Management: Apigee, AWS API Gateway, or MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. Providers: AWS (EC2, Lambda), Azure (AKS), or Google More ❯

delivery of strategic programmes, taking ownership for designing and building innovative data solutions, including managing teams of Data Scientists & Engineers. Work with a mix of cloud services (majoring in Databricks and Azure, alongside AWS and Snowflake). Support in setting the direction and vision of the Data Engineering part of our business, putting in place frameworks and guidance to support More ❯

At least 3-4 years of hands-on experience in data engineering roles Proficiency in SQL and Python programming for data manipulation and pipeline development Experience with Snowflake, BigQuery, Databricks, or equivalent cloud data warehousing platforms Familiarity with data visualization tools (e.g., PowerBI, Tableau) Experience with modern data pipeline tools such as DBT, Airflow, or Composer Understanding of data modeling More ❯

teams, where required. Essential Skills and Experience: ·Educated to degree level or have equivalent professional experience. ·Experience translating business requirements into solution design and implementation. ·Experience of MS Azure Databricks ·Experience working with Database technologies such as SQL Server, and Data Warehouse Architecture with knowledge of big data, data lakes and NoSQL. ·Experience following product/solution development lifecycles using More ❯

data-heavy systems, ideally in a startup or fast-moving environment. Technical Stack : Languages/Tools: Python (REST API integrations), DBT, Airbyte, GitHub Actions Modern Data Warehousing: Snowflake, Redshift, Databricks, or BigQuery. Cloud & Infra: AWS (ECS, S3, Step Functions), Docker (Kubernetes or Fargate a bonus) Data Modelling : Strong grasp of transforming structured/unstructured data into usable models (facts, dimensions More ❯

data-heavy systems, ideally in a startup or fast-moving environment. Technical Stack : Languages/Tools: Python (REST API integrations), DBT, Airbyte, GitHub Actions Modern Data Warehousing: Snowflake, Redshift, Databricks, or BigQuery. Cloud & Infra: AWS (ECS, S3, Step Functions), Docker (Kubernetes or Fargate a bonus) Data Modelling : Strong grasp of transforming structured/unstructured data into usable models (facts, dimensions More ❯

ETL/ELT processes Exposure to Python or any other object-oriented programming languages Experience with modern data stack tools and cloud-based data warehouses like MS Fabric, Snowflake, Databricks, Teradata or AWS Experience in designing and constructing effective reports and dashboards that transform data into actionable insights with Tableau or Power BI Proven ability to manage work within set More ❯

PowerBI. Experience & knowledge Requires extensive experience of developing and implementing end to end data solutions in the cloud preferably in Azure. Experience engineering with big data technologies such as Databricks and/or Synapse Analytics, using PySpark. Solution design experience across end-to-end data solutions (sourcing to consumption) Experience in Azure services such as Data Factory, Azure Functions, ADLS More ❯

Driven, use of Dataverse) and/or Power Automate. Copilot Studio experience also desirable. Programming language (Python, R or SQL) Hands-on experience with tools such as Microsoft Fabric, Databricks, or Snowflake Consulting Experience: Current experience in a major consulting firm and/or significant consulting background with evidence of effective stakeholder management to address business challenges Experience working across More ❯

talented Data professionals, who are committed to making Homes England a Data-led organisation. To deliver this you will be using the latest tools and technologies such as Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Azure DevOps and Terraform alongside languages such as Python, PySpark and SQL. Deploying pipelines through CI/CD practices. You will work with More ❯

CloudXcel is a technology-driven company dedicated to providing innovative cloud solutions to businesses worldwide. Our mission is to empower organizations to harness the full potential of their data in the cloud, unlocking insights and driving transformation. With a commitment More ❯

10+ years Job Summary : We are seeking a highly experienced and visionary Data Architect to lead the design and implementation of the data architecture for our cutting-edge Azure Databricks platform focused on economic data. This platform is crucial for our Monetary Analysis, Forecasting, and Modelling efforts. The Data Architect will be responsible for defining the overall data strategy, data … within the economic domain. Key Experience: Extensive Data Architecture Knowledge: They possess a deep understanding of data architecture principles, including data modeling, data warehousing, data integration, and data governance. Databricks Expertise: They have hands-on experience with the Databricks platform, including its various components such as Spark, Delta Lake, MLflow, and Databricks SQL. They are proficient in using Databricks for … various data engineering and data science tasks. Cloud Platform Proficiency: They are familiar with cloud platforms like AWS, Azure, or GCP, as Databricks operates within these environments. They understand cloud- data architectures and best practices. Leadership and Communication Skills: They can lead technical teams, mentor junior architects, and effectively communicate complex technical concepts to both technical and non-technical stakeholders. More ❯

This role is an opportunity to lead the build of bespoke data systems for our clients. Responsibilities Design and implement scalable data pipelines and ETL processes using Azure and Databricks technologies including Delta Live Tables. Lead technical discussions with clients and stakeholders to gather requirements and propose solutions. Help clients realise the potential of data science, machine learning, and scaled … data processing within Azure/Databricks ecosystem. Mentor junior team members and support their personal development. Take ownership for the delivery of core solution components. Support with planning, requirements refinement and work estimation. Skills and Experiences Design and develop end-to-end data solutions leveraging Azure services for batch, real-time, and streaming workloads (including data ingestion, cleansing, modelling, and … data platform development, concepts, and methods such as data warehouses and data lakehouse, with the ability to adapt and tailor based on requirements. Experience with Azure Synapse Analytics, Azure Databricks, Microsoft Fabric, Data Factory. Expertise in Python, SQL, and developer tooling such as Visual Studio Code, Azure DevOps. Good experience with CI/CD practices and tools for data platforms More ❯

team based in Leeds, working mostly remotely with just one day on-site per week. You’ll lead the design and delivery of scalable, cloud-based data solutions using Databricks, Python, and SQL, while mentoring a team and driving engineering best practices. About You You might currently be a Senior Data Engineer ready to grow your leadership skills. You’re … passionate about building robust, efficient data pipelines and shaping cloud data architecture in an agile environment. Key Responsibilities Lead development of data pipelines and solutions using Databricks, Python, and SQL Design and maintain data models supporting analytics and business intelligence Build and optimise ELT/ETL processes on AWS or Azure Collaborate closely with analysts, architects, and stakeholders to deliver … as code Mentor and support your team, taking ownership of technical delivery and decisions Drive continuous improvements in platform performance, cost, 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 ❯

involves leading and participating in the design, development, testing, implementation, and maintenance of data-driven software solutions. The ideal candidate will possess expert-level knowledge of Python, C#, .NET, Databricks, and Azure, ensuring alignment with business objectives. They will identify and champion innovation in technology and processes to unlock new commercial opportunities. Collaborating closely with the trading team, the Senior … with minimal guidance, exercising broad latitude in decision-making. Key responsibilities include migrating an existing Python-based reporting/analytics application and its data workflows from Azure SQL to Databricks, creating and optimizing data pipelines in Databricks, and leveraging scheduling, job orchestration, and optionally machine learning features to serve trading and analytics needs. The Senior Data Engineer will also collaborate … to write efficient, production-quality code (e.g., data structures, error handling, code optimization). Proficiency in SQL – comfortable designing databases, writing complex queries, and handling performance tuning. Experience with Databricks (or a comparable Spark environment) – ability to build data pipelines, schedule jobs, and create dashboards/notebooks. Experience with Azure services (Data Factory, Synapse, or similar) and knowledge of cloud More ❯

skills building data pipelines, transforming raw data into useful data systems, and optimizing the data delivery architecture. Learn to design, build, refactor, and maintain data pipelines using Microsoft Azure, Databricks, SAP Datasphere, SQL, Azure Data Factory , Python, and PySpark to meet business requirements for reporting, analysis, and data science Participate in designing, and integrating fault tolerance and enhancements into data … skills building data pipelines, transforming raw data into useful data systems, and optimizing the data delivery architecture. Learn to design, build, refactor, and maintain data pipelines using Microsoft Azure, Databricks, SAP Datasphere, SQL, Azure Data Factory , Python, and PySpark to meet business requirements for reporting, analysis, and data science Participate in designing, and integrating fault tolerance and enhancements into data … proven Data Engineering experience Bachelor’s degree in computer science, software engineering, information technology or equivalent combination of data engineering professional experience and education. Knowledge of Microsoft Azure, SQL, Databricks, SAP Datasphere, Azure Data Factory, Python, PySpark, Power BI or other cloud-based data systems Knowledge of Azure DevOps, GitHub, CI/CD are a plus Working knowledge of relational More ❯

architectures in a modern cloud environment. You will play a key role in building and optimizing our Medallion architecture (Bronze, Silver, Gold layers), working with modern tools such as Databricks , dbt , Azure Data Factory , and Python/SQL to support critical business analytics and AI/ML initiatives. Key Responsibilities ETL Development : Design and build robust and reusable ETL/… ELT pipelines through the Medallion architecture in Databricks . Data Transformation : Create and manage data models and transformations using dbt , ensuring clear lineage, version control, and modularity. Pipeline Orchestration : Develop and manage workflow orchestration using Azure Data Factory , including setting up triggers, pipelines, and integration runtimes. System Maintenance : Monitor, maintain, and optimize existing data pipelines, including cron job scheduling and … Ensure compliance with data security policies, data retention rules, and privacy regulations. Required Skills and Experience 5+ years of experience in data engineering or similar roles. Strong experience with Databricks , including notebooks, cluster configuration, and Delta Lake. Proficiency in dbt for transformation logic and version-controlled data modeling. Deep knowledge of Azure Data Factory , including pipeline orchestration and integration with More ❯

build robust, scalable data pipelines and analytics platforms that empower business teams to unlock insights through self-service tools. You’ll work with modern cloud-native tools like Snowflake, Databricks, Python, and advanced visualisation platforms to create solutions that drive measurable business outcomes. Key Responsibilities Develop Scalable Data Pipelines : Design and implement ETL/ELT workflows using Python, SQL, and … ELT pipelines with Python, SQL, or tools like Apache Airflow, and expertise in visualisation tools (Power BI, Tableau, or Looker). Cloud Expertise : Familiarity with cloud platforms like Snowflake, Databricks, or AWS/GCP/Azure for scalable data solutions. Data Modelling Mastery : Strong understanding of dimensional and relational modelling techniques for analytics use cases. Stakeholder Engagement : Excellent communication skills More ❯

and translating these into technical deliverables. Motivated to expand technical skills. Experience with Microsoft BI Tools such as Power BI, SSRS & SQL Server. Experience with Azure Data Factory and Databricks (Python). Experience working with DevOps, IaC & CI/CD pipelines (e.g. Terraform and Databricks Asset Bundles). #J-18808-Ljbffr More ❯

Impactful Projects : Design, manage, and deliver end-to-end data science and analytics projects aligned with business priorities. Model Development : Build, test, and deploy predictive and optimisation models using Databricks, Azure, and Python , incorporating best practices in MLOps and governance. Insight Generation : Translate complex datasets into accessible and actionable insights using Power BI and other visualisation tools. Stakeholder Collaboration : Partner … corporate initiatives. What You'll Need Essential Skills & Experience: Proven experience in data science, advanced analytics, or data engineering, with a track record of delivering measurable outcomes. Proficiency in Databricks, Azure, Python, SQL, and data visualisation using open source libraries. Experience with modern MLOps practices for deploying and maintaining models in production. Excellent communication skills - able to simplify technical concepts … visible, high-level impact Join a forward-thinking data team using modern tools in a cloud-native environment Flexible hybrid working with a supportive, inclusive culture Tools & tech: Azure, Databricks, Power BI, Python - continuously evolving Attractive benefits package: Competitive salary 7% Stakeholder Pension Plan 15% Asda Colleague Discount Free parking at Asda House, Leeds Clear opportunities for career growth and More ❯

Data Engineer - FinTech Company - Newcastle (Tech Stack: Data Engineer, Databricks, Python, Azure, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) I'm working with a leading Software House in the FinTech industry, based in Newcastle, who are looking to hire a talented Data Engineer .This is a fantastic opportunity to join a forward-thinking company where you'll play … working with data and delivering value to stakeholders. Strong proficiency in SQL, Python, and Apache Spark , with hands-on experience using these technologies in a production environment. Experience with Databricks and Microsoft Azure is highly desirable. Financial Services experience is a plus but not essential. Excellent communication skills, with the ability to explain complex data concepts in a clear and More ❯

more than 90 million passengers this year, we employ over 10,000 people. Its big-scale stuff and we’re still growing. Job Purpose With a big investment into Databricks and a large amount of interesting data this is the chance for you to come and be part of an exciting transformation in the way we store, analyse and use … engineering practices (e.g. TDD, CI/CD). · Experience with Apache Spark or any other distributed data programming frameworks. · Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. · Experience with cloud infrastructure like AWS or Azure. · Experience with Linux and containerisation (e.g Docker, shell scripting). · Understanding Data modelling and Data Cataloguing principles. · Understanding of … end monitoring, quality checks, lineage tracking and automated alerts to ensure reliable and trustworthy data across the platform. · Experience of building a data transformation framework with dbt. · Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. What you’ll get in return · Competitive base salary · Up to 20% bonus · BAYE, SAYE & Performance share schemes · Flexible benefits More ❯