1 to 25 of 39 Databricks Jobs in London with Remote Work Options

activities Lunch allowance for use within our subsidized onsite canteen Must have skills Working knowledge of Azure DevOps (Git, build and release pipelines), Python, databricks, and snowflake as a requirement. Nice to haves are: PowerBI, and Attunity Replicate Significant information technology and/or application development, database development and/ more »

Kimball & inmon, and hybrid data warehouse design. Cloud data products such as: Data factory Events Hubs Data Lake Synapse Azure SQL Server Experience developing Databricks and coding with PySpark and Spark SQL. Proficient in ETL coding standards Data encryption techniques and standards Knowledge of relevant legislation such as: Data Protection more »

hybrid data warehouse design. Knowledge using cloud data products like Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL server. Knowledge in developing in Databricks and experience in coding with PySpark, Spark SQL. Experience in design and development of complex data and analytics solutions in an iterative manner for large more »

warehouse design Detailed knowledge using cloud data products like Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL server. Detailed knowledge in developing in Databricks and experience in coding with PySpark. Spark SQL ETL coding standards: ensuring that code is standardised, self-documenting and can be reliably tested Knowledge of more »

options. Skills & experience required: Strong hands-on experience in Data Warehouse and Data Lake technologies preferably around Azure Extensive experience in implementing solutions around DataBricks, Azure Data Factory, Azure SQL, CosmosDB, Cognite Services, Storage Accounts, Azure Service bus, Azure Functions, Event Hub, Synapse and Azure Purview. Excellent understanding of Microsoft more »

data transformation tools, and data governance techniques Good understanding of Quality and Information Security principles Experience with Azure, ETL Tools such as ADF and Databricks Advanced Database and SQL skills, alng with SQL, Python, Pyspark, Spark SQL Strong understanding of data model design and implementation principles Data warehousing design patterns more »

designing data pipelines and ETL processes Previous experience of data warehousing Utilise SAS for data reporting and analysis Skilled in SQL, Python, Git and Databricks In depth experience of reporting in Power BI Excellent stakeholder management skills Desirable Experience of working within a consultancy environment A Bachelors or Master’s more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

and the business stakeholders Investigate and provide solutions for issues (bugs, data errors) Key skills PowerBI– DAX, Power Query (M) Power apps – Advantageous Azure, Databricks Stakeholder management What’s on Offer Up to £90k Salary Bonus package Hybrid working in either Leeds, Manchester or London + flexible hours More exciting more »

high availability Desired experience: Worked with Python 3.9+ Familiar with Python test automation Experience with SQL and Timeseries databases Familiar with Parquet, Arrow, Airflow, Databricks Experience with cloud AWS services, such as S3, EC2, RDS etc Quality engineering best practice and tooling including TDD, BDD This is an inside IR35 more »

impacts, debt and risks. Technical knowledge or experience in the following data languages or toolsets: AutoSys, Azure Function App, Azure GIT, Azure Portal, C#, Databricks, GraphQL/Graph API, Informatica CDI, Informatica Power Center, Java, Javascript, Snowflake, PowerBI, PyRecs, Python, Selenium, Spark, and SQL Nice to have skills Ability to more »

and analytics Desired experience: Worked with Python 3.9+ Familiar with Python test automation Experience with SQL and Timeseries databases Familiar with Parquet, Arrow, Airflow, Databricks Experience with cloud AWS services, such as S3, EC2, RDS etc Quality engineering best practice and tooling including TDD, BDD This is an inside IR more »

d love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks Cloud platform experience (AWS preferred) Adobe analytics & sales platform experience is a bonus Previous experience working with Marketing Ecosystems Hybrid working with offices in Central more »

depth experience in product delivery models and business analysis Risk and Compliance experience within the financial services sector Experience with Microsoft Azure cloud platform, Databricks and Snowflake Strong skills in data analysis, dimensional data modeling methodologies and business analysis Solid understanding of Software Development Lifecycle (SDLC) and version control disciplines more »

powers innovative solutions within the client. We require an engineer who has a passion for data and has a good background in Azure, synapse, Databricks, SQL, Python and DataOps. This is a fantastic opportunity for a Data Engineer to gain exposure to different business areas from Visualisation, Machine Learning/… optimal performance. Stay up-to-date with the latest trends and technologies in data engineering. Requirements : Strong hands-on experience with Azure, Synapse, and Databricks Excellent programming skills in SQL and Python Proficiency in building and optimising data pipelines, architectures, and datasets Familiarity with Medallion architecture and data lakes. Experience more »

Azure. The Platform Engineer also have a focus on Azure data platform services with skills in Azure Data Factory (ADF), Data Analytics, and Azure Databricks and DevOps practices. Primary requirements for the Platform Engineer will include: Experienced Platform Engineer - CAF (Cloud Adoption Framework) Strong experience and understanding of Infrastructure as more »

B2B SaaS experience involving client-facing projects • Experience in front-end development and competency in JavaScript • Knowledge of API development • Familiarity with Airflow, DBT, Databricks • Experience working with Enterprise Resource Planning (e.g. Oracle, SAP) and CRM systems. If this role sounds of interest, please apply using the link and we more »

with the vision to convert data requirements into logical models and physical solutions. with data warehousing solutions (e.g. Snowflake) and data lake architecture, Azure Databricks/Pyspark & ADF. retail data model standards - ADRM. communication skills, organisational and time management skills. to innovate, support change and problem solve. attitude, with the more »

pipeline and ETL processes using Azure data Factory, Azure Data Lake and Azure Databricks. Exceptional experience developing codes, testing for quality assurance, administering Azure Databricks platform and exposure to Unity Catalog. Exposure of Performance Tuning, Optimization, Governance and Security of Databricks platform. Experience in designing scalable solutions using Azure Data more »

Senior Data Engineer Salary Negotiable to £70,000 DoE Hybrid working with 2 days in London Job Reference J12785 Work with an award-winning independent protection adviser. Develop the data engineering capabilities. Data is a key enabler for the business more »

Senior Data Engineer (Databricks) – Remote - 6 Months Contract (Initial) – Outside IR35 VIQU are seeking 4 Senior Data engineers (Databricks) on a contract basis to assist our client as they migrate over from legacy to AWS. The main focus will be to centralise the organisations data warehouses and consolidating/centralising … a number of BI tools. Senior Data Engineers should have extensive experience working with Databricks on recent projects and be exposed to the latest features and toolsets of Databricks Role Responsibilities: Design and develop scalable data pipelines using Databricks. Implement data processing workflows in Python and SQL. Manage and optimise … storage solutions on AWS. Ensure data quality and integrity across all stages of data processing. Develop and maintain documentation for data engineering processes. Utilise Databricks features, including Delta Live Tables (DLT) to simplify streaming and ensure data quality. Work with asset bundles in Databricks for streamlined data operations. Key Skills more »

love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: recommendation, forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks AWS experience – Redshift & Fast API NLP & Computer Vision experience Previous experience working with Marketing Ecosystems Hybrid working with offices in Central London - 3x a week more »

from proof-of-concept to deployment, working alongside the Energy Solutions team. Design data pipelines for smarter energy: Craft and manage data pipelines using Databricks, integrating best-in-class demand forecasts to optimize energy use. Enhance user applications for real-world impact: Contribute to the development of our user applications more »

solutions using Azure services such as Data Factory, Event Hubs, Data Lake, Synapse, and Azure SQL Server. Create and optimize data processing workflows in Databricks using PySpark and Spark SQL. Ensure ETL coding standards are met, including self-documenting code and reliable testing. Apply best practice data encryption techniques and … warehouse design. Extensive experience with Azure data products including Data Factory, Event Hubs, Data Lake, Synapse, and Azure SQL Server. Proficient in developing with Databricks, PySpark, and Spark SQL. Strong understanding of ETL coding standards, including standardized, self-documenting code and reliable testing. Knowledge of data encryption techniques and standards. more »

unstructured datasets, and different types of data pertaining to a number of departments across Brompton (Finance, Planning, Commercial). Experience of working with Azure Databricks, B2B/B2C/D2C business models and FiveTran will stand you in good stead. Our team work in 2-week sprints, so experience of … data models that enhance data accessibility and facilitate deeper analysis. Implement and manage Unity Catalog for centralized data governance and unified access controls across Databricks Maintain technical documentation for the entirety of code base. End to end ownership of the Data Engineering Lifecycle. Implement and manage Fivetran for efficient and … equivalent experience. Extensive experience as a Senior Data Engineer/Cloud Data Architect, or similar role. Deep knowledge of Azure Cloud architecture and Azure Databricks, DevOps and CI/CD Extensive experience migrating on-premises data warehouses to the cloud. Proficiency with Spark, SQL, Python, R, and other data engineering more »