626 to 650 of 1,019 Remote Databricks Jobs

making. Support cloud data migration projects and modern data platform initiatives on Azure. Your Profile: Strong hands-on experience with core Azure data services (Data Factory, Synapse, Data Lake, Databricks, etc.). Proficient in writing complex SQL queries and performance tuning. Solid understanding of ETL/ELT frameworks and data architecture principles. Experience with scripting in Python for data transformation More ❯

Data Engineering. We are looking for: Demonstratable data engineering 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 A record of managing and leading small teams Must have some consulting experience Nice More ❯

to analyze complex problems and design solutions. Knowledge of SDLC, testing, and agile delivery. Proficiency in SQL. Experience with data warehousing and lakes. Knowledge of ETL tools and processes. Databricks knowledge is a plus. This is a great opportunity to join a growing company. Strong technical and interpersonal skills are essential. Salary ranges from £70,000 to £80,000 plus More ❯

detection, time series prediction of financial data, churn prediction and more). What you will do: Help shape what we build. Our current tech stack includes Airflow, Fivetran, DBT, Databricks as well as supporting real-time services. Our work is primarily in Python, leveraging some of the most used machine learning packages but you may have to dig into JVM … learning solutions. Experience in statistical experiment design and performance analysis of machine learning models. Strong experience with Python, SQL and machine learning frameworks. Some data engineering experience is preferred (Databricks and Airflow are some of the platforms we use, but any equivalent experience is appreciated). Excellent communication and presentation skills, with the ability to convey complex concepts to technical More ❯

sustainability data sets. Demonstrates rigorous attention to detail, especially in prompt engineering and evaluation of semantic outputs. Experience with Machine Learning or Predictive Modelling would be desirable. Familiarity with DataBricks, higher education/research data, sustainability metrics, and qualitative-to-quantitative analysis would be desirable. How you'll be rewarded: Hybrid working Career Progression Programme Mentorship Scheme Private Healthcare #J More ❯

in pre-sales activities such as leading the creation of proposals, tender responses, SOWs (and delivery of sales presentations. Experience of standard data engineering ETL processes Microsoft Fabric or Databricks expertise is highly desirable Being able to lead data analytics and data engineering workshops with senior stakeholders in the role of a subject matter expert. An understanding of traditional and More ❯

/or working with Quant Trading Technology Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile More ❯

Hedge Fund, Investment Bank, FinTech or similar Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile More ❯

Hedge Fund, Investment Bank, FinTech or similar Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile More ❯

/or working with Quant Trading Technology Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile More ❯

/or working with Quant Trading Technology Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile More ❯

/or working with Quant Trading Technology Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile More ❯

Hedge Fund, Investment Bank, FinTech or similar Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile More ❯

Hedge Fund, Investment Bank, FinTech or similar Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile More ❯

/or working with Quant Trading Technology Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses . Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile More ❯

Hedge Fund, Investment Bank, FinTech or similar Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile More ❯

Tech Stack: 🛠 Strong SQL essential 📊 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 experience 💡 Lead the analysis of More ❯

Tech Stack: 🛠 Strong SQL essential 📊 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 experience 💡 Lead the analysis of More ❯

Data Engineering. We are looking for: Demonstrable data engineering skills, with a focus on delivering solutions in Microsoft Azure Strong experience designing and delivering data solutions in Fabric, Azure Databricks, or Azure Synapse Proficiency with SQL and Python Excellent communication skills, effectively engaging with senior stakeholders A proven track record of managing and leading small teams Some consulting experience Nice More ❯

e.g. BeautifulSoup, Requests, Selenium, or Scrapy) Understanding of website structures, and how to extract data Knowledge of modern cloud-based data architectures, including Data Lakehouse on Databricks. Experience with Databricks and Azure is highly desirable Source code management e.g. Azure DevOps, Git Agile delivery methodologies such as SCRUM or Kanban Knowledge and work management tools (e.g., JIRA, Confluence) Experience building More ❯

e.g. BeautifulSoup, Requests, Selenium, or Scrapy) Understanding of website structures, and how to extract data Knowledge of modern cloud-based data architectures, including Data Lakehouse on Databricks. Experience with Databricks and Azure is highly desirable Source code management e.g. Azure DevOps, Git Agile delivery methodologies such as SCRUM or Kanban Knowledge and work management tools (e.g., JIRA, Confluence) Experience building More ❯

e.g. BeautifulSoup, Requests, Selenium, or Scrapy) Understanding of website structures, and how to extract data Knowledge of modern cloud-based data architectures, including Data Lakehouse on Databricks. Experience with Databricks and Azure is highly desirable Source code management e.g. Azure DevOps, Git Agile delivery methodologies such as SCRUM or Kanban Knowledge and work management tools (e.g., JIRA, Confluence) Experience building More ❯

years in a Data Engineering position. Self-starter, who has experience with building data pipelines in the cloud. Excellent knowledge of PySpark, Python and SQL fundamentals. Familiar with Airflow, Databricks & BigQuery. Exposure with Palantir Foundry would be a huge plus but not essential. Ability to work on messy, complex real-world data challenges. Experience working at a start-up company More ❯

e.g. BeautifulSoup, Requests, Selenium, or Scrapy) Understanding of website structures, and how to extract data Knowledge of modern cloud-based data architectures, including Data Lakehouse on Databricks. Experience with Databricks and Azure is highly desirable Source code management e.g. Azure DevOps, Git Agile delivery methodologies such as SCRUM or Kanban Knowledge and work management tools (e.g., JIRA, Confluence) Experience building More ❯

e.g. BeautifulSoup, Requests, Selenium, or Scrapy) Understanding of website structures, and how to extract data Knowledge of modern cloud-based data architectures, including Data Lakehouse on Databricks. Experience with Databricks and Azure is highly desirable Source code management e.g. Azure DevOps, Git Agile delivery methodologies such as SCRUM or Kanban Knowledge and work management tools (e.g., JIRA, Confluence) Experience building More ❯