26 to 50 of 390 Databricks Jobs in the South East

degree in computer science or a relevant area. Excellent coding skills specifically in Python. Very desirable commercial technical experience with tools such as Spark, Databricks, Airflow, Docker etc Commercial Containerisation & Infrastructure as code experience Previous work in a CI/CD environment AWS is the preferred cloud platform - Azure and More ❯

code Developing customised applications (APIs, loaders, reports, data pipelines, BI tools) Quickly acquiring new technical skills (Azure IaaS/PaaS, Crystal Reports, Python, Azure Databricks, Azure Data Factory, Power BI, etc.) Requirements of the Senior Developer (ETRM) Proven experience within trading environments (hedge funds, investment banks, trading houses, asset managers More ❯

managers to align AI solutions with commercial goals. Financial services experience is desired but not essential. API development (FastAPI, Flask) Tech stack : Azure, Python, Databricks, Azure DevOps, ChatGPT, Groq, Cursor AI, JavaScript, SQL, Apache Spark, Kafka, Airflow, Azure ML, Docker, Kubernetes and many more. Role Overview: We are looking for More ❯

large scale Data Warehousing projects in corporate environments in regulated industries is desirable. Desired experience with Azure Cloud, Azure DevOps, ADSL2, CosmoDB, Synapse, PowerBI & DataBricks Ability to query and interrogate data using languages such as SQL is essential Robust evidence of delivering data analysis and solutions is essential Good interpersonal More ❯

experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to: MS Fabric stack Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such More ❯

data platform solutions In depth knowledge of the Snowflake platform and capabilities Relevant experience of working with other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also be advantageous Practical knowledge of GenAI and LLM offerings in the market Skilled in working on More ❯

skills Working understanding of ML Ops and DevOps frameworks Familiarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, Databricks What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company where we More ❯

data strategies and getting buy-in from the board. Strong technical background with experience delivering enterprise-level data platforms and infrastructure (Azure, SQL Server, Databricks, or similar). Strong understanding of data engineering, pipeline optimisation, and CDC/ETL best practices. Proven leadership of data teams and cross-functional initiatives More ❯

for each of these) Experience of Industrial Automation and Control Engineering Experience with ETL/data pipelines Experience of integrating with technology similar to databricks, PowerBI, Aveva PI Database schema design Experience of creating Windows installers Experience of GUI development Behaviours and personal characteristics: Passionate about writing robust, efficient code More ❯

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. Experience of delivering Data Science models More ❯

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. Experience of delivering Data Science models More ❯

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. Experience of delivering Data Science models More ❯

about solving business problems. Key responsibilities: Data Platform Design and Architecture Design, develop, and maintain a high-performing, secure, and scalable data platform, leveraging Databricks Corporate Lakehouse and Medallion Architectures. Utilise our metadata-driven data platform framework combined with advanced cluster management techniques to create and optimise scalable, robust, and … SaaS applications using end-to-end dependency-based data pipelines, to establish an enterprise source of truth. Create ETL and ELT processes using Azure Databricks, ensuring audit-ready financial data pipelines and secure data exchange with Databricks Delta Sharing and SQL Warehouse endpoints. Governance and Compliance Ensure compliance with information … security standards in our highly regulated financial landscape by implementing Databricks Unity Catalog for governance, data quality monitoring, and ADLS Gen2 encryption for audit compliance. Development and Process Improvement Evaluate requirements, create technical design documentation, and work within Agile methodologies to deploy and optimise data workflows, adhering to data platform More ❯

technologies & tailored AI solutions to analyse a huge amount of cross-platform data. This approach generates valuable insights that empower our clients.. Tech: Python, Databricks, Cloud (AWS), ETL, SQL 💡 The teams innovation areas: Advanced LLM implementations Real-time analytics platforms ML model deployment and monitoring Cloud-native architectures Data mesh More ❯

pathways What We’re Looking For Experience building Azure/SQL data analytics solutions Comfortable speaking with clients and explaining technical topics Experience using Databricks More ❯

data through all layers from generation, ingestion, transformation and serving. Strong experience in building data solutions using Azure, Azure Data Lake Storage Gen2, Azure Databricks, Azure Data Factory, Azure Synapse, Data Fabric. Azure certified Data Engineer/Architect Knowledge of Machine Learning and NLP unstructured data. Implemented ML platform in More ❯

of Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience with performant database programming in SQL Capability to solve complex More ❯

marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong problem-solving skills and a passion for driving measurable business impact. Knowledge of marketing measurement techniques like More ❯

team management skills to lead, motivate and grow a diverse 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 data product-set and drive forward the delivery of More ❯

Job Title: Data Architect – Databricks Specialist Location : Remote (UK-based candidates preferred) Engagement : Contract - Status determination TBC Start Date : ASAP Sector : Financial Services/Consultancy About the Role We’re looking for an experienced Data Architect with deep expertise in Databricks to join a high-profile data transformation programme within … a leading financial consultancy. You will be instrumental in the design and delivery of a scalable, secure, and high-performing data platform leveraging the Databricks Lakehouse architecture. This is a critical project where you’ll step into a mature environment, helping to define architectural direction and ensure best practices in … data engineering, governance, and performance optimisation. Key Responsibilities Lead the architecture and design of a next-gen data platform using Databricks and Delta Lake Collaborate with stakeholders including data engineers, analysts, and business leads to define data requirements and architecture patterns Ensure the platform is scalable, secure, and aligned to More ❯

AWS environments Experience working with data from trading platforms or within commodities, banking, or financial services Tech environment: Primary Platform: Snowflake Other Tech: DBT, Databricks, Spark, PySpark, Python Cloud: AWS (preferred), Private Cloud storage Data Sources: Financial/trading systems More ❯

Can optimise queries for huge datasets. Has a solid understanding of blockchain ecosystem elements like DeFi, Exchanges, Wallets, Smart Contracts, mixers and privacy services. Databricks and PySpark Analysing blockchain data Building and maintaining data pipelines Deploying machine learning models Use of graph analytics and graph neural networks If this sounds More ❯

focus on data and transformation, or strong data engineering experience within the insurance sector. Advanced programming skills in Python and SQL . Experience with Databricks , cloud platforms, and CI/CD pipelines is highly desirable. Proven ability to manage teams and/or complex projects with a strong focus on More ❯

cloud-based, and third-party) into the Azure environment. Utilise Azure services like Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, and Azure Databricks for data storage, transformation, and analysis. Core skills and experience: Previous experience acting as a Data Architect building major data changes within a regulated environment More ❯

including experience in creating and managing reports, dashboards, and troubleshooting data visualization and performance issues, along with basic understanding of Data Analytics platforms (i.e. Databricks). Proficiency in SQL is preferred for querying and wrangling data to ensure accurate and efficient report generation. Strong understanding of financial statements and consolidation More ❯