1 to 25 of 44 Remote Databricks Jobs in the South East

technical voice in the team - without line management responsibilities. What We're Looking For: Essential: Strong experience in Azure-based data engineering roles Strong skills in Azure Data Factory, Databricks, Azure Data Lake, SQL, and Python. Excellent communication and collaboration skills - you'll thrive in a dynamic, agile environment Available to start within a 4-week notice period Desirable: Experience More ❯

and internal policies. What We're Looking For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with More ❯

and internal policies. What We're Looking For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with More ❯

next-generation data platform. Working as part of a growing data team, you will play a critical role in designing and deploying scalable data pipelines and solutions using Azure Databricks and related technologies. This is an opportunity to contribute to a cloud-first, modern data strategy within a collaborative and forward-thinking environment. Key Responsibilities: Design and develop end-to … end data pipelines (batch and streaming) using Azure Databricks, Spark, and Delta Lake. Implement the Medallion Architecture and ensure consistency across raw, enriched, and curated data layers. Build and optimise ETL/ELT processes using Azure Data Factory and PySpark. Enforce data governance through Azure Purview and Unity Catalog. Apply DevOps and CI/CD practices using Git and Azure … analysts and business stakeholders to ensure data quality and usability. Contribute to performance optimisation and cost efficiency across data solutions. Required Skills & Experience: Proven hands-on experience with Azure Databricks, Data Factory, Delta Lake, and Synapse. Strong proficiency in Python, PySpark, and advanced SQL. Understanding of Lakehouse architecture and medallion data patterns. Familiarity with data governance, lineage, and access control More ❯

communication and collaboration skills within their agile team are essential. Requirements: Experience orchestrating data pipelines with Azure Data Factory (ADF) Proficiency managing API data ingestion and orchestration using Azure Databricks Working with Azure Data Lake (ADL) Storage, on-prem SQL, and Python Vast Azure data engineering experience Proficient in ADF, Databricks, ADL, SQL, Python Desirable: Exposure to D365 or similar More ❯

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding More ❯

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding More ❯

services. Gather client requirements and lead workshops. Build compelling data visualisations and narratives. Support change management, adoption, and user training. Technical Skills (Required/Desirable): Azure Data Factory, Synapse, Databricks, Microsoft Fabric. Data warehouse & lakehouse architecture. Strong SQL, Python, ETL/ELT knowledge. Power BI and data visualisation tools. Agile delivery experience. You’ll Have: 5+ years in Microsoft data More ❯

Data Engineer - Investment Banking - London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Snowflake, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles including a Data Engineer position to … teams to join their new and growing IT team! They are looking for an experienced Lead Data Engineer with expert level Java/Python, as well as Snowflake/Databricks to join an exceptional core engineering team and deliver features across their Data Engineering platform. We are seeking a Data Engineer who has advanced working knowledge of Snowflake/Databricks More ❯

Projects: Collaborate on exciting and complex data pipelines, platforms, and automation solutions across industries including finance, retail, and government. Cutting-Edge Tech: Work hands-on with tools like Spark, Databricks, Azure Deequ, and more. Career Development: We invest in your growth with dedicated training, mentoring, and support for certifications. Collaborative Culture: Join a diverse, inclusive team that thrives on innovation … do: Maintain test automation frameworks tailored for data-intensive environments. Implement validation tests for data pipelines, data quality, and data transformation logic. Use tools like Azure Deequ , Spark , and Databricks to ensure data accuracy and completeness. Write robust, scalable test scripts in Scala , Python , and Java . Integrate testing into CI/CD pipelines and support infrastructure automation. Collaborate with … practices and data validation techniques. Experience using test automation frameworks for data pipelines and ETL workflows Strong communication and stakeholder management skills. Nice-to-Have: Hands-on experience with Databricks , Apache Spark , and Azure Deequ . Familiarity with Big Data tools and distributed data processing. Experience with data observability and data quality monitoring. Proficiency with CI/CD tools like More ❯

and version management of large numbers of data science models (Azure DevOps). You'll support the implementation of Machine Learning Ops on cloud (Azure & Azure ML. Experience with Databricks is advantageous.) You'll protect against model degradation and operational performance issues through the development and continual automated monitoring of model execution and model quality. You'll manage automatic model … and integration Basic understanding of networking concepts within Azure Familiarity with Docker and Kubernetes is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such More ❯

Proven experience in a Data Engineer role with a successful track record Proficiency in SQL and experience with database administration Mastery of tools such as Power BI, Data Factory, Databricks, SQL Server, and Oracle Familiarity with acting as a data engineer within cloud environments like Azure. Strong analytical, problem-solving, and attention-to-detail skills Effective communication and teamwork skills More ❯

focused environment* Proactive, curious, and capable of balancing technical depth with business understanding* Excellent communication skills and a collaborative mindset Tech Stack/Tools Python SQL Dbt Spark or Databricks GCP (Open to AWS/Azure) CI/CD tooling Benefits * Company profit share scheme* Bupa private healthcare with 24/7 GP access* Up to 8% employer pension contribution More ❯

tailored solutions Stay ahead of emerging technologies, particularly in AI and Large Language Models (LLMs) Provide technical leadership across the Azure Data Stack : Microsoft Fabric Azure Synapse Analytics Azure Databricks Azure Data Factory Power BI Collaborate with internal stakeholders to drive growth and service excellence Required: Proven experience in a senior data leadership role. Strong engineering background with hands-on More ❯

processes effectively Desirable Skills: GCP Professional Data Engineer certification Exposure to Agentic AI systems or intelligent/autonomous data workflows Experience with BI tools such as Looker Exposure to Databricks, Snowflake, AWS, Azure or DBT Academic background in Computer Science, Mathematics or a related field This is an opportunity to work in a forward-thinking environment with access to cutting More ❯

on experience with Terraform and Bicep, deploying Azure infrastructure with automation, templates, and CI/CD pipelines. Azure Expertise: Solid experience with Azure services such as Synapse, Data Factory, Databricks, DevOps, networking, and security best practices. Effective Communicator & Team Player: Ability to translate technical concepts for diverse audiences and collaborate effectively. Creative Problem Solver: Enjoy solving complex infrastructure challenges with More ❯

practices and tools (Azure DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within More ❯

work end-to-end, making meaningful contributions within a small, agile team. Experience We're looking for candidates with: Extensive experience in Data Engineering with a focus on Azure, Databricks, and Delta Lake. Proficiency in Kubernetes, Infrastructure as Code, and Terraform. Expertise in Azure DevOps and a commitment to best practices. A preference for simple, transparent solutions and a drive More ❯

M, Tabular Editor Experience with MS Sql Server databases and Azure Synapse Experience and implementation of Azure Data Factory and Sql Server Integration Services pipelines Basic knowledge of Azure Databricks (PYSpark) Attitude for Problem Solving Experience in data and process analysis Work location: Rome with remote work experience At DXC Technology, we believe strong connections and community are key to More ❯

deliver end-to-end data architecture solutions to support business intelligence, reporting, and regulatory needs Lead the integration and optimisation of large-scale data platforms using Azure Synapse and Databricks Build and maintain robust data pipelines using Python (PySpark) and SQL Collaborate with data engineers, analysts, and stakeholders to ensure data quality, governance, and security Ensure all solutions adhere to … financial regulations and internal compliance standards Key Skills & Experience: Proven experience as a Data Architect within the financial services sector Hands-on expertise with Azure Synapse Analytics and Databricks Strong programming and data engineering skills in Python (PySpark) and SQL Solid understanding of financial data and regulatory compliance requirements Excellent stakeholder communication and documentation skills More ❯

experience across coding/configuration/automation/monitoring/security is necessary. Significant AWS or Azure hands-on experience. ETL Tools such as Azure Data Fabric (ADF) and Databricks or similar ones. Data Lakes: Azure Data, Delta Lake, Data Lake or Databricks Lakehouse. Certifications: AWS, Azure, or Cloudera certifications are a plus. The role comes with an extensive benefits … sponsorship for this role. KEYWORDS Lead Data Engineer, Senior Lead Data Engineer, Spark, Java, Python, PySpark, Scala, Big Data, AWS, Azure, On-Prem, Cloud, ETL, Azure Data Fabric, ADF, Databricks, Azure Data, Delta Lake, Data Lake. Please note that due to a high level of applications, we can only respond to applicants whose skills and qualifications are suitable for this More ❯

both remotely and onsite. The contract has potential for extension or transition onto other exciting projects. Key Responsibilities:* Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and Azure Synapse.* Collaborate with cross-functional teams to ensure data quality and integration.* Support data ingestion, transformation, and storage in cloud environments.* Troubleshoot and optimise data workflows for performance … Maintain compliance with security protocols and clearance requirements. Essential Skills & Experience:* Must hold NPPV3 + SC clearance (this is a mandatory requirement).* Proven expertise in Azure Data Factory, Databricks, and Azure Synapse Analytics.* Strong experience in building and managing cloud-based data solutions.* Solid understanding of data modeling, ETL/ELT processes, and data warehousing.* Excellent communication skills and More ❯

across our modern data ecosystem. This is an exciting opportunity to influence how data is structured, maintained, and trusted across the company, with exposure to cutting-edge technologies including Databricks , Snowflake , and Generative AI systems . What Youll Be Doing Champion best practices in data governance , data quality, and data stewardship across teams. Collaborate closely with data engineering, product, and … guardrails and filtering mechanisms . What Were Looking For Proven experience in data governance , data quality , or data operations roles. Hands-on experience with modern cloud data platforms ideally Databricks , Snowflake , or Redshift on AWS . Proficiency in SQL and Python for data manipulation and automation. Familiarity with Unity Catalog , data cataloging , or lineage tools (e.g., Alation, Collibra, Purview). More ❯

environments. Proficiency with SQL Server in high-transaction settings. Experience with either C# or Python/PySpark for data tasks. Hands-on knowledge of Azure cloud services, such as Databricks, Event Hubs, and Function Apps. Solid understanding of DevOps principles and tools like Git, Azure DevOps, and Terraform. Versatility in working across a wide range of data technologies and solving More ❯

modelling Proven ability to design and develop insightful Power BI reports Proficiency in writing complex DAX measures Experience working in an Azure environment Familiarity with Azure Data Factory or Databricks (bonus) Excellent stakeholder engagement and communication skills What's in It for You: Salary: £45,000-£55,000 (depending on experience) 25 days annual leave + your birthday off Pension More ❯