1 to 25 of 75 Remote Databricks Jobs in the South East

Data Engineer - Leading Energy Company - London (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) Company Overview: Join a dynamic team, a leading player in the energy sector, committed to innovation and sustainable solutions. Our client are seeking a talented Data Engineer to help More ❯

Professional Skills Required Strong expertise in data engineering, modelling, and real-time data pipelines. Proficiency in tools such as Azure Data Factory, Synapse, SQL, Databricks, Power BI, Microsoft Fabric. Programming experience with Python, SQL, or R. Deep understanding of cloud data architecture, governance, and performance optimisation. Business domain knowledge across More ❯

The IETs data architecture, ensuring alignment with best practices and strategic goals. Drive the adoption of Azure data technologies such as Fabric, Data Factory, Databricks, Synapse, and Delta Lake. Develop and maintain scalable data pipelines, ensuring efficient data ingestion, transformation, and storage. Introduce and enhance self-service reporting capabilities for More ❯

Data Engineer - Leading Fashion Company - London (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) We’re recruiting on behalf of a leading fashion brand based in London that’s recognised for combining creativity with cutting-edge technology. They’re on the lookout for More ❯

designing and building a robust data platform Great interpersonal skills and collaborative mindset Strong hands-on experience with modern cloud data warehouses such as Databricks/Snowflake, ideally on AWS Strong Python experience, including deep knowledge of the Python data ecosystem, with hands-on expertise in Spark and Airflow Hands More ❯

native environments (AWS preferred) Strong proficiency with Python and SQL Extensive hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) Solid understanding of data modeling, ETL More ❯

cases like NLP, computer vision, speech recognition, and anomaly detection. Integrate Azure AI services with other Azure tools such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Search. Handle data ingestion, processing, and storage for AI and analytics applications. Design and develop AI agents for creating intelligent autonomous systems. More ❯

skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology (e.g., Informatica DEI). Proven ability to understand business processes, facilitate meetings with senior stakeholders, and translate business More ❯

and hands-on experience with SQL/Python for data interrogation. n Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology (e.g., Informatica DEI). n Proven ability to understand business processes, facilitate meetings with senior stakeholders, and translate More ❯

and hands-on experience with SQL/Python for data interrogation. n Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology (e.g., Informatica DEI). n Proven ability to understand business processes, facilitate meetings with senior stakeholders, and translate More ❯

to full deployment. Cloud Computing : Experience working with cloud platforms (AWS, Azure, GCP) for deploying AI solutions, including familiarity with data platforms like BigQuery, Databricks or Snowflake. Business Acumen : Ability to translate technical AI concepts into clear business outcomes, advising clients on strategies to harness AI for growth. Data Expertise More ❯

development workflows, and mentor junior team members. Software Engineer - (Not all) Skills Required: Python (FastAPI, Flask) REST API development RabbitMQ/Message queue PostgreSQL Databricks Containerisation: Docker, Kubernetes CI/CD: Azure DevOps, GitHub Actions Relational databases and data lake architecture Model and data pipeline integration (e.g. MLflow) Microsoft Azure More ❯

data engineering/BI 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 Nice to haves: Azure Data Engineering certifications Microsoft Fabric More ❯

leading a talented team of data engineers and architects in designing, building, and optimising their datalakehouse infrastructure. This role requires a deep understanding of Databricks and a passion for data-driven solutions. Key Responsibilities: Lead the design and implementation of a scalable datalakehouse architecture using Databricks. Collaborate with cross-functional 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 ❯

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 ❯

Strong SQL and PySpark skills, with a focus on writing efficient, readable, modular code. n Experience of development on modern cloud data platforms (e.g. Databricks, Snowflake, RedShift). n Familiarity of Data Lakehouse principles, standards and best practices. n Understanding of event-driven architecture and data streaming technologies. n Familiarity More ❯

Databricks Specialist £95K- £110K + Package Hybrid - London An excellent opportunity has arisen with a global gaming company for a Databricks Specialist, you'll play a vital role in owning the Databricks strategy and how they use it to innovate across their industry-leading brands. Designing and developing robust data … data pipelines, and creating data services that deliver actionable insights to their global customer base. Role and Responsibilities: Strategy Development: Create and own a Databricks strategy for the group, ensuring alignment with business goals Architectural Leadership: Serve as the owner and responsible person for all Databricks- related activities, acting as … including permissions, usage, paths, locations, and implementation, ensuring data accessibility, security, and reliability. Guidance and Training: Provide guidance, support, and training to teams regarding Databricks usage, offering best practices, monitoring, and cost management/optimization strategies. Platform Monitoring: Monitor usage of the Databricks platform to inform decisions on deprecation, resource More ❯

experience in data science, machine learning, or analytics in consulting, PE, or financial services. Advanced Python and SQL skills; exposure to tools like Snowflake, Databricks, Power BI/Tableau. A commercial mindset—someone who can connect analytical output with business outcomes. Clear communicator who builds trust with senior stakeholders and More ❯

Competitive employer contributions to pension scheme and much more What youll be doing: Designing Azure-based data solutions using services like Azure Synapse, Azure Databricks, Cosmos DB, and Data Lake Storage Building conceptual, logical and physical data models for analytical use cases Defining architecture frameworks, standards, and principles Leading and 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 ❯

non-technical audiences (in English) · Nice to have: Experience working on an agile software engineering team and working directly with Product Management teams; Azure Databricks, Microsoft Azure certification, Azure AI Fundamentals, Azure Data Scientist Associate Preferred Skills/Experience: · Demonstrates strong interpersonal, communication, and presentation skills · Ability to explain findings More ❯

in Azure technology. What We're Looking For: Strong experience with Azure data services (e.g. Data Factory, Synapse, Azure SQL, etc.) Ideally experienced with Databricks Experienced with Python Industry background in insurance, financial services, or a similar regulated environment Passion for building scalable, secure, and high-performance data pipelines What More ❯

people-not just hiring ready-made ones. You'll predominantly be designing and delivering cloud-based data solutions using Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Data Factory, Azure Blob storage and Power BI. You'll work across the full More ❯

people-not just hiring ready-made ones. You'll predominantly be designing and delivering cloud-based data solutions using Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Data Factory, Azure Blob storage and Power BI. You'll work across the full More ❯