251 to 275 of 331 Databricks Jobs in London

for efficient data workflows. Advanced Power BI Skills: Dashboard development, data modelling, and DAX for strategic insights. Data Warehousing Knowledge: Understanding of principles and practices for effective data management. Databricks Familiarity: Experience with Databricks for data processing and analytics. Stakeholder Engagement: Ability to pro actively engage with internal teams and translate business needs. Mentoring & Team Development: Skills to guide junior 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 ❯

Ahead of Trends: Keep abreast of industry trends and emerging technologies to build future-focused data architecture roadmaps. Desirable Skills: Experience with enterprise data modelling. Hands-on experience with Databricks, Snowflake, or similar platforms. Familiarity with Collibra. ### Why Join Us? Innovative Environment: Be part of a forward-thinking organisation that is modernising its data estate and enhancing data services. More ❯

Ahead of Trends: Keep abreast of industry trends and emerging technologies to build future-focused data architecture roadmaps. Desirable Skills: Experience with enterprise data modelling. Hands-on experience with Databricks, Snowflake, or similar platforms. Familiarity with Collibra. ### Why Join Us? Innovative Environment: Be part of a forward-thinking organisation that is modernising its data estate and enhancing data services. More ❯

Ahead of Trends: Keep abreast of industry trends and emerging technologies to build future-focused data architecture roadmaps. Desirable Skills: Experience with enterprise data modelling. Hands-on experience with Databricks, Snowflake, or similar platforms. Familiarity with Collibra. ### Why Join Us? Innovative Environment: Be part of a forward-thinking organisation that is modernising its data estate and enhancing data services. More ❯

Experience with Terraform and Kubernetes is a plus! A genuine excitement for significantly scaling large data systems Technologies we use (experience not required): AWS serverless architectures Kubernetes Spark Flink Databricks Parquet. Iceberg, Delta lake, Paimon Terraform Github including Github Actions Java PostgreSQL About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are 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 ❯

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 ❯

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 ❯

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 ❯

oriented languages (e.g., Python, PySpark) and frameworks. Expertise in relational and dimensional modeling, including big data technologies. Proficiency in Microsoft Azure components like Azure Data Factory, Data Lake, SQL, DataBricks, HD Insights, ML Service. Good knowledge of Python and Spark. Experience in ETL & ELT processes. Understanding of cloud analytics and ML Ops. Azure Infrastructure and Azure DevOps experience is a … plus. Ability to work with global teams and contribute to architecture discussions. Skills: Data Ops, ML Ops Deep expertise in Azure Databricks, ETL frameworks Fractal is an equal opportunity employer committed to diversity and inclusion. We prohibit discrimination and harassment of any kind. If you enjoy growth and working with enthusiastic professionals, join us! Not the right fit now? Express More ❯

Ideas People Trust We're BDO. An accountancy and business advisory firm, providing the advice and solutions entrepreneurial organisations need to navigate today's changing world. We work with the companies that are Britain's economic engine - ambitious, entrepreneurially-spirited More ❯

Report to Associate Director/Director of Data The Aztec Group is seeking a highly skilled and experienced Data Platform Architect to join our team. This role is pivotal in designing and evolving our data platform to ensure it meets More ❯

Principal Data Scientist Up to £125,000 London (Hybrid, 3 days onsite per week) Company: A leading marketing and analytics agency is seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on More ❯

Principal Data Scientist Up to £125,000 London (Hybrid, 3 days onsite per week) Company: A leading marketing and analytics agency is seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on More ❯

data pipelines and storage solutions in cloud environments (AWS, Azure, GCP) - Writing complex queries against relational and non-relational databases - Leading or contributing to key projects involving technologies like Databricks, Snowflake, BigQuery and Fabric - Applying software engineering best practices to data engineering, including CI/CD, monitoring and alerting - Collaborating with cross-functional teams including Data Scientists, Architects and Analysts … practices - Advanced SQL skills and experience designing efficient schemas and optimising performance - Experience with code versioning, dependency management, logging, validation and monitoring - Familiarity with modern data platforms such as Databricks, Snowflake or Microsoft Fabric - Solid understanding of software engineering principles and SDLC best practices - Demonstrated success working across multiple cloud platforms (AWS, Azure, or GCP) - Excellent communication and collaboration skills More ❯

Job Description - Data Warehouse Developer About Hiscox: At Hiscox, we care about our people. We hire the best people for the work, and we're committed to diversity and creating a truly inclusive culture, which we believe drives success. We More ❯

Databricks Trainer – Contract Vacancy Rate: £300 - £350 p/d IR35 Status: Outside Working Location: Remote My client has a requirement for a Databricks Trainer on a contract basis. The client is an training provider and consultancy. You will be supporting on a 4 week databricks program which is due to start either the end of August or middle of … September. All the training materials are already created. Trainers must have experience working with Databricks commerical or training Databricks. If you're suitably skilled and avaiable to deliver, please apply now. As an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our More ❯

Senior Technology Architect - Azure Stack, Databricks Role: Senior Technology Architect Technology: Azure Stack, Databricks Location: London, UK Compensation: Competitive (including bonus) Qualifications & Experience 15+ years of experience in IT/consulting with at least 5+ years of leadership experience managing delivery in the Energy & Utilities sector. Demonstrated experience in leading complex transformation engagements (e.g., Smart Grid, DERMS, Asset Lifecycle, Customer More ❯

data analysis workflows across IWSR. You'll work at the intersection of data engineering, data science, and DevOps - helping us move to a more structured and mature approach using Databricks on AWS . Your work will empower our analysts and data scientists to be more productive and consistent, by setting up reusable tools, automated deployment pipelines, and standardized workflows. This … is a hands-on role with a focus on enablement, automation, and best practices . Key Responsibilities: Set up and manage Databricks infrastructure, including job scheduling, cluster configurations, and workspace organization. Build CI/CD pipelines for notebooks, Python packages, and ML models using GitHub Actions or similar tools. Partner with analysts to migrate Excel and SQL workflows to Databricks … version control, testing, logging, and monitoring of data workflows. Create and deliver documentation, playbooks, and internal training to improve team-wide adoption and fluency. Skills & Experience: Deep familiarity with Databricks (administration and development) Strong experience with CI/CD tools and pipelines for data science Solid understanding of AWS services (e.g. EC2, S3, Lambda, Glue) and CDK Proficient in Python More ❯

in enabling data access, platform operations, and analytical data modeling across Live Nation's international data functions. You will manage data workflows, ensuring seamless data access and usability in Databricks, BigQuery, Tableau, and Looker. You will lead the development of data models and analytical structures to support reporting teams and enable self-service analytics capabilities. The role requires strong collaboration … Competencies/Skills/Knowledge/Experience Proven experience in BI platform management, data engineering, and analytics operations roles with focus on enabling analyst teams Hands-on expertise with Databricks, BigQuery, Tableau and Looker, Python, and advanced SQL for creating views, tables, and optimising data structures Strong knowledge of data pipelines, data modeling, and database design with experience building scalable … cross-functionally with data engineering, reporting teams, and regional stakeholders Analytical, collaborative, and proactive mindset with strong problem-solving skills and business acumen What the role includes Champion the Databricks data platform - ensuring data access, data quality, and enablement for delivery of dashboards, insights and data modeling across the organisation Manage data workflow operations in BigQuery and Databricks, supporting reporting More ❯

needs) Contract duration: 6 months Location: London JOB DETAILS Role Title: Senior Data Engineer Note: (Please do not submit the same profiles as for 111721-1) Required Core Skills: Databricks, AWS, Python, Pyspark, data modelling Minimum years of experience: 7 years Job Description: Must have hands-on experience in designing, developing, and maintaining data pipelines and data streams. Must have … Gold) using ADF, Python, and PySpark. Must have hands-on experience with PySpark, Python, AWS, data modelling. Must have experience in ETL processes. Must have hands-on experience in Databricks development. Good to have experience in developing and maintaining data integrity and accuracy, data governance, and data security policies and procedures. Must have hands-on experience in SQL development. Excellent More ❯

a pivotal role in driving operational excellence, enhancing controls, and securing our position as a forward-thinking industry leader. This role specifically focuses on utilizing AWS Transfer Family and Databricks to retrieve data from third-party providers via API and SFTP, ensuring seamless integration into Flutter's financial systems. Additionally, knowledge of networking, secure connectivity, S3 storage, and Databricks querying … stakeholders across finance, technology, and security to ensure data flows securely and efficiently from external providers into our financial platforms. Key Responsibilities Develop and maintain scalable data pipelines using Databricks, Spark, and Delta Lake to process large volumes of structured and semi-structured data. Design ETL/ELT workflows to extract data from third-party APIs and SFTP sources, standardise … development. Ensure all data pipelines are fully documented and meet appropriate standards for security, resilience and operational support. Skills & Experience Required Essential: Hands-on experience developing data pipelines in Databricks, with a strong understanding of Apache Spark and Delta Lake. Proficient in Python for data transformation and automation tasks. Solid understanding of AWS services, especially S3, Transfer Family, IAM, and More ❯

contributed to the delivery of complex business cloud solutions. The ideal candidate will have a strong background in Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform). Responsibilities: Collaborate with Data Scientists and operationalize the model with auditing enabled, ensure the run can be reproduced if needed. Implement Databricks best practices More ❯