126 to 150 of 392 Databricks Jobs in London

clients to understand requirements and present solutions to customer sponsors. Required Skills & Experience: Microsoft Azure expertise primarily using Azure Machine Learning. Extensive experience with Databricks, ML Flow, storytelling tools and techniques. Strong commercial experience creating predictive models, statistical analysis, and pricing analysis. Working with large data sets (real time, storage 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 ❯

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 ❯

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 ❯

in Marketing & Data Storytelling. This remote role offers an exciting opportunity to work with cutting-edge technologies such as Athena/Presto, Python (notebooks), Databricks, Google Analytics, and top BI tools like Looker and Tableau. About Constructor Constructor is the only search and product discovery platform tailor-made for enterprise More ❯

Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures Modelling & Statistical Analysis experience, ideally customer related A More ❯

Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures. A university degree - numbers based, Computer Science or More ❯

Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures A university degree - numbers based, Computer Science or More ❯

data ingestion, data storage, data serving, APIs, etc.). Hands-on experience in data lake or data warehouse and related technologies (e.g. Spark, ETL, Databricks). Hands-on applied experience delivering system design, application development, testing, and operational stability Advanced in one or more programming languages, such as Java or More ❯

queries for huge datasets. Has a solid understanding of blockchain ecosystem elements like DeFi, Exchanges, Wallets, Smart Contracts, mixers and privacy services. Bonus Experience: Databricks and PySpark Analysing blockchain data Building and maintaining data pipelines Deploying machine learning models Use of graph analytics and graph neural networks Following funds on More ❯

identify creative solutions to deliver outcomes in the face of obstacles. Knowledge of common data science tools around SQL-based data warehousing (e.g., Snowflake, Databricks, DBT), BI tools (e.g., Tableau, Looker), workflow orchestration, and ML Ops. Excellent spoken and written English skills. Fluency with scripting in Python . Ability to More ❯

This is a remote role and can be based anywhere in Switzerland, the UK or Germany Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in … of business in the Czech Republic, Romania & the wider CEE region. Reporting to our Director of Enterprise Sales, as an Enterprise Account Executive at Databricks you will focus on enhancing established commercial relationships and closing new business opportunities within a small, targeted portfolio of existing, enterprise-class clients in the … strategy and managing it to success Understanding of how to identify important uses cases and buying centres in order to increase the impact of Databricks within an organisation Fluent (C1 or C2) English and Czech or Romanian language skills essential About Databricks Databricks is the data and AI company. More More ❯

and delivering data solutions focused on MS Fabric Strong ETL experience with tools such as ADF or SSIS Experience working with Azure technologies - Synapse, Databricks, Data Lake Knowledge of data architecture principles and data modelling In this role you will be required to attend the office on an ad-hoc More ❯

Data visualisation (Power BI preferred) 🐍 Python experience desirable 🧱 Exposure to CDPs and cloud platforms a plus - they're launching Amperity and have an advanced Databricks environment where their single customer view and data science models sit Why This Role? 🚀 Work in a business investing heavily in data, digital, and customer More ❯

Science, or a related field. · Experience in deploying and maintaining machine learning models in production environments. · Proficiency in Python, SQL, and cloud platforms (e.g., Databricks, Azure). · Strong understanding of MLOps practices, including CI/CD pipelines and model monitoring. · Excellent problem-solving skills and attention to detai Application If More ❯

Science, or a related field. · Experience in deploying and maintaining machine learning models in production environments. · Proficiency in Python, SQL, and cloud platforms (e.g., Databricks, Azure). · Strong understanding of MLOps practices, including CI/CD pipelines and model monitoring. · Excellent problem-solving skills and attention to detai Application If More ❯

within related disciplines (e.g., data ingestion, data storage, data serving, APIs) Hands-on experience with data lake or data warehouse technologies (e.g., Spark, ETL, Databricks) Practical experience in system design, application development, testing, and operational stability Ability to independently tackle design and functionality problems with minimal oversight Educational background in More ❯

in-depth knowledge of relational databases (PostgreSQL) and familiarity with data lakehouse formats (storage formats, e.g. Apache Parquet, Delta tables). Experience with Spark, Databricks, data lakes/lakehouses. Experience working with external data suppliers (defining requirements for suppliers, defining Service Level Agreements, attending joint meetings when needed). Experience More ❯

Ability to drive cross-functional collaboration and leadership engagement. Data-driven mindset with proficiency in reporting, dashboard and data management tools (e.g. Salesforce, PowerBI, DataBricks, Funnel.io). Benefits We offer you a challenging job in a growing and truly global international SaaS company with a competitive compensation structure. Ah, and More ❯

in-depth knowledge of relational databases (PostgreSQL) and familiarity with data lakehouse formats (storage formats, e.g. Apache Parquet, Delta tables). Experience with Spark, Databricks, data lakes/lakehouses. Experience working with external data suppliers (defining requirements for suppliers, defining Service Level Agreements, attending joint meetings when needed). Experience More ❯

both technical and non-technical audiences Experience with migrating mission critical data systems from one platform to another. Experience with Cloud technologies like AWS, Databricks, Azure or Google Cloud technology. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need More ❯

and portal websites Enterprise resource planning (Dynamics NAV, Business Central) Learning management systems (Brightspace, Moodle) Enterprise data and reporting systems (SQL Server, Power BI, Databricks) What we do Kaplan Professional is a leading provider of apprenticeships, accountancy/tax/finance & banking courses, and professional assessments. For almost 80 years More ❯

FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software engineering Experience with cloud-native More ❯

Do you want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks! Leading a team of Enterprise Named and Strategic Account Executives, you will be measured by achieving your team's overall quota and growing Databricks consumption. … customers. Knowledge of the partner ecosystem to help grow Enterprise strategic territories. Success implementing strategies for consumption and commitment-based sales revenue models. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune … rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits More ❯