126 to 150 of 213 Remote Databricks Jobs

to support experimentation and deployment. 🛠️ Key Responsibilities Build and maintain high-performance data pipelines to power AI/ML use cases Architect cloud-native data platforms using tools like Databricks , Airflow , Snowflake , and Spark Collaborate with AI/ML teams to align data processing with model requirements Develop ETL/ELT workflows to support feature engineering, model training, and inference … Scala or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake , Airflow Solid grasp of data modelling, orchestration, and infrastructure-as-code (Terraform, Docker, CI/CD) Excellent communication and client-facing skills—comfortable leading on technical delivery 🎁 What’s More ❯

to support experimentation and deployment. 🛠️ Key Responsibilities Build and maintain high-performance data pipelines to power AI/ML use cases Architect cloud-native data platforms using tools like Databricks , Airflow , Snowflake , and Spark Collaborate with AI/ML teams to align data processing with model requirements Develop ETL/ELT workflows to support feature engineering, model training, and inference … Scala or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake , Airflow Solid grasp of data modelling, orchestration, and infrastructure-as-code (Terraform, Docker, CI/CD) Excellent communication and client-facing skills—comfortable leading on technical delivery 🎁 What’s More ❯

pipelines and infrastructure, who can implement processes on our modern tech stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation. … tools like Terraform or CloudFormation. Experience with workflow orchestration tools (e.g., Airflow, Dagster). Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in Agile environments with tools like Jira and Git. About Us We are Citation. We are far from your average service provider. Our colleagues bring their brilliant selves More ❯

Senior Data Engineer| AWS/Databricks/PySpark | London/Glasgow (Hybrid) | August Start Role: Senior Data Engineer Location: This is a hybrid engagement represented by 2 days/week onsite, either in Central London or Glasgow. Start Date: Must be able to start mid-August. Salary: £80k-£90k (Senior) | £90k-£95k (Lead) About The Role Our partner is looking … thinking environment. You’ll be involved in designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark. Design and implement robust ETL/ELT solutions … reviews and solution design. Requirements Proven experience as a Data Engineer in cloud-first environments. Strong commercial knowledge of AWS services (e.g. S3, Glue, Redshift). Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc). Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting. Hands-on experience with workflow orchestration tools More ❯

We are on the lookout for a Data Engineer with a robust background in SQL Server and ideally Azure Data Factory. The ideal candidate will have a wealth of experience in business intelligence, data modelling, and visualisation, and will be More ❯

We are on the lookout for a Data Engineer with a robust background in SQL Server and ideally Azure Data Factory. The ideal candidate will have a wealth of experience in business intelligence, data modelling, and visualisation, and will be More ❯

knowledge of cloud platforms (preferably AWS) Experience in Financial Services , ideally Payments Expertise in event-driven architecture , microservices , and streaming platforms (e.g. Kafka) Hands-on experience with tools like Databricks , Snowflake , S3 , and broader data ecosystem knowledge Background in software engineering - understands what good implementation looks like Confident communicator who can teach , influence , and represent architecture at senior levels This More ❯

as customers. To support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just More ❯

We find incredible minds from all backgrounds to train with us, creating a diverse team of experts. We’re the preferred partner of today’s leading technology providers, including Databricks, Snowflake, and Collibra, to accelerate delivery and co-create revolutionary solutions. We transform the lives of our consultants, clients, and their customers through data and AI. The Role: This is More ❯

We find incredible minds from all backgrounds to train with us, creating a diverse team of experts. We’re the preferred partner of today’s leading technology providers, including Databricks, Snowflake, and Collibra, to accelerate delivery and co-create revolutionary solutions. We transform the lives of our consultants, clients, and their customers through data and AI. The Role: This is More ❯

BW, Datasphere, SuccessFactors or S/4HANA Good understanding of cross-module integration with other SAP solutions such as ECC or S/4HANA modules SAP Business Data Cloud, Databricks PERSONAL PROFILE – EXPERIENCE 10+ years of consulting experience in SAP EPM technologies, with recent experience working with SAP Analytics Cloud and SAP Group Reporting Successful delivery of 8-10 full More ❯

to make the biggest commercial impact in our business. Technical Acumen & Innovation: Demonstrate deep technical skill and hands-on experience with modern cloud-based data platforms and databases (e.g, Databricks, BigQuery, Snowflake). You'll be expected to understand and deploy their best features to achieve optimal outcomes. AI Enablement: Play a crucial role in enabling AI and machine learning More ❯

focused on designing modern, scalable, and secure data platforms for enterprise clients. You'll play a key role in shaping data architecture across the full Azure stack- including Azure Databricks and Azure Data Factory (ADF) -and will guide engineering teams in delivering robust, future-proof solutions using lakehouse and medallion architecture principles . Key Responsibilities Design end-to-end data … architectures using Azure services, including Azure Databricks, ADF, Synapse Analytics , and Data Lake Storage Define scalable data models and implement architectural patterns such as lakehouse and medallion Lead technical solution design during client engagements, from discovery to delivery Establish and enforce data governance, modelling, and lifecycle standards Support engineering and DevOps teams with guidance on best practices, CI/CD … and infrastructure-as-code Requirements 7+ years in data architecture or senior engineering roles Strong hands-on experience with Azure Databricks and Azure Data Factory Proficient in SQL, Python , and Spark Expertise in data modelling and architectural patterns for analytics (e.g., lakehouse, medallion, dimensional modelling) Solid understanding of cloud security, private networking, GDPR, and PII compliance Excellent communication skills with More ❯

focused on designing modern, scalable, and secure data platforms for enterprise clients. You'll play a key role in shaping data architecture across the full Azure stack- including Azure Databricks and Azure Data Factory (ADF) -and will guide engineering teams in delivering robust, future-proof solutions using lakehouse and medallion architecture principles . Key Responsibilities Design end-to-end data … architectures using Azure services, including Azure Databricks, ADF, Synapse Analytics , and Data Lake Storage Define scalable data models and implement architectural patterns such as lakehouse and medallion Lead technical solution design during client engagements, from discovery to delivery Establish and enforce data governance, modelling, and lifecycle standards Support engineering and DevOps teams with guidance on best practices, CI/CD … and infrastructure-as-code Requirements 7+ years in data architecture or senior engineering roles Strong hands-on experience with Azure Databricks and Azure Data Factory Proficient in SQL, Python , and Spark Expertise in data modelling and architectural patterns for analytics (e.g., lakehouse, medallion, dimensional modelling) Solid understanding of cloud security, private networking, GDPR, and PII compliance Excellent communication skills with More ❯

London. Key Responsibilities - Azure Data Engineer: Design, build and maintain scalable and secure data pipelines on the Azure platform. Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics. Optimise ETL/ELT processes to improve performance, reliability and efficiency. Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs. … incl. GDPR and ISO standards). Required Skills & Experience - Azure Data Engineer: Proven commercial experience as a Data Engineer delivering enterprise-scale solutions in Azure Azure Data Factory Azure Databricks (PySpark) Azure Synapse Analytics Azure Data Lake Storage (Gen2) SQL & Python Understanding of CI/CD in a data environment, ideally with tools like Azure DevOps. Experience working within consultancy More ❯

Databricks Data Engineer (roles available at Lead, Senior and Mid Level), £ 50000 - 85000 + benefits. SQL, ETL, Data Warehousing, Databricks etc. Home Based with one day a month at the office in Nottingham. Strong commercial knowledge of Databricks is required for this role. Expanding SaaS product company are looking for a number of Data Engineer as they continue to grow. … Data Engineers and BA's to understand the data needs of the business. Skills Required Include - Previous experience as Data Engineer in a delivery focused environment. Excellent knowledge of Databricks Experience analysing complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of SQL and ETL Experience … expand its data team. In these roles you will use your technical skills and soft skills/people skills allowing the data team to further develop. Strong, hands-on databricks skills are mandatory for this role. This role is home based with one day a month at their office in Nottingham. Salary is in the range £ 50000 - 85000 + benefits More ❯

Data Engineer/Data Engineering/Lakehouse/Delta Lake/Data Warehousing/ETL/Azure/Azure Databricks/Python/SQL/Based in the West Midlands/Solihull/Birmingham area (1 day per week), Permanent role, £50,000 70,000 + car/allowance + bonus. One of our leading clients is looking to recruit … Permanent role Salary £50,000 70,000 + car/allowance + bonus Experience: Experience in a Data Engineer/Data Engineering role Large and complex datasets Azure, Azure Databricks Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL CDC Stream Processing Database Design ML Python/PySpark Azure Blob Storage Parquet Azure Data Factory Desirable: Any exposure working in More ❯

Data Engineer - AWS, Databricks & Pyspark Contract Role - Data Engineer Location: Hybrid (1 day per month onsite in Harrow, London) Rate: £350 per day (Outside IR35) Duration: 6 months A client of mine is looking for a Data Engineer to help maintain and enhance their existing cloud-based data platform. The core migration to a Databricks Delta Lakehouse on AWS has … Key Responsibilities: - Maintain and optimise existing ETL pipelines to support reporting and analytics - Assist with improvements to performance, scalability, and cost-efficiency across the platform - Work within the existing Databricks environment to develop new data solutions as required - Collaborate with analysts, data scientists, and business stakeholders to deliver clean, usable datasets - Contribute to good data governance, CI/CD workflows … and engineering standards - Continue developing your skills in PySpark, Databricks, and AWS-based tools Tech Stack Includes: - Databricks (Delta Lake, PySpark) - AWS - CI/CD tooling (Git, DevOps pipeline - Cloud-based data warehousing and analytics tools If your a mid to snr level Data Engineer feel free to apply or send your C.V Data Engineer - AWS, Databricks & Pyspark More ❯

models, exploring customer behaviours, and supporting personalisation strategies - with opportunities to work on NLP projects too. You'll also take ownership of projects, support our data science tooling (including Databricks and AWS), and collaborate closely with experts in Data Engineering, BI, Analytics, and Data Governance to solve problems and create scalable solutions that make a tangible difference. What's in … and continuously develop your skills in a collaborative, hybrid working environment. About you Role Responsibilities: Design, build, and maintain scalable machine learning pipelines using Python and PySpark. Work within Databricks to develop, schedule, and monitor data workflows, utilising Databricks Asset Bundles. Collaborate with data analysts, engineers, and other scientists to deliver clean, reliable, and well-documented datasets. Develop and maintain … skills with a problem-solving mindset. Strong analytical and communication skills, with the ability to tailor complex insights for both technical and non-technical audiences. Hands-on experience with Databricks for deploying, monitoring, and maintaining machine learning pipelines. Experience working with AWS data services and architectures. Good understanding of code versioning and CI/CD tools and practices. Familiarity with More ❯

laws (e.g., GDPR, CCPA), data contracts, and data usage governance. Strong knowledge of metadata management, data cataloguing tools, and data quality practices. Working knowledge of data platforms (e.g., Snowflake, Databricks, Azure, or equivalent). Excellent relationship and stakeholder management skills - especially with product managers, legal teams, and engineering. Ability to work autonomously, manage priorities, and deliver outcomes in a fast 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 ❯

Microsoft Azure services, while gathering requirements, engaging stakeholders, and documenting processes clearly and proactively. Key Responsibilities Design, build and maintain data pipelines across Microsoft Fabric (Azure Data Factory, Synapse, Databricks) Develop scalable data models to support business needs in the commercial space and beyond Collaborate with global teams and vendors to ensure alignment and effective knowledge transfer Translate business needs … data Support Power BI reporting needs where required What We’re Looking For Previous experience in data engineering Strong hands-on experience with Azure data tools (Data Factory, Synapse, Databricks) Advanced SQL and PySpark knowledge Strong stakeholder engagement skills with experience in requirement gathering and documentation Microsoft certification and Power BI experience is desirable Background in mid-to-large scale More ❯

a thought leader by authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You'll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You'll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You'll work closely with … designing data architectures on platforms like AWS, Azure, or GCP. Technical Skills Extensive experience with ETL/ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for analytics and reporting. Familiarity with version control, CI/CD pipelines, and containerisation tools 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 ❯

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 ❯