1 to 25 of 148 Remote Databricks Jobs in London

Solution Architect - Databricks Initial 7-month Contract Role Remote Working £600 - £700, Inside IR35 We're partnering with a Global IT Partner who are looking for a Databricks Solution Architect to provide guidance on data architecture and design and optimise Databricks solutions. As a Databricks Solution Architect, you will be responsible for: Lead end-to-end architecture of data lakes … to Azure with a core focus on Databricks Provide technical leadership on Databricks Design and implement data pipelines in Azure Databricks, optimizing for performance, cost, and scalability Advise of data lake migration, data modelling and pipeline optimisation Refactor and modernize existing data models to integrate with Power BI Coordinate phased migrations to ensure zero disruption to live operations Replace legacy … tools by consolidating workflows within Databricks and native Azure services Requirements: 10+ years in cloud architecture/engineering with a strong focus on building scalable data pipelines Expertise in Azure Databricks (7+years) including building and managing ETL pipelines using PySpark or Scala (essential) Solid understanding of Apache Spark, Delta Lake, and distributed data processing concepts Hands-on experience with Azure More ❯

CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data More ❯

CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data More ❯

performance tuning, ELT best practices). Proven commercial experience with DBT for modular data modelling, testing, documentation, and CI/CD integration. Skilled in Azure Data Factory, Synapse, and Databricks for end-to-end data pipeline orchestration. Excellent SQL engineering capability; experience designing data models for analytics and operational reporting. Proven track record in the insurance or wider financial services More ❯

engineering teams to resolve them. Strong analytical mindset and attention to detail. Clear, concise communicator able to present technical findings simply. Desirable: Experience testing in big data environments using Databricks, Snowflake, or Redshift. Knowledge of data governance and lineage tracking tools. Exposure to data performance and load testing. Experience in an Agile delivery environment. More ❯

data modelling and data analytics [programming languages: Python, SQL, Alteryx] - Data Visualisation experience [tools: PowerBI, Tableau or similar] - MetaData management and data cataloguing [tools: Collibra, Alation] - Data Platform tools [DataBricks, Azure, Kafka] Other skills required: - Strong stakeholder management skills - Experience working in a trading environment - An interest in automation and modern technologies [use of automation, ML and AI to drive More ❯

technologies in data engineering, and continuously improve your skills and knowledge. Profile The Data Engineer will have mastery of data management and processing tools, including Power BI, Data Factory, Databricks, SQL Server, and Oracle. Proficient in SQL and experienced in database administration. Familiarity with cloud platforms such as Azure and AWS. Excellent problem-solving and analytical skills, with strong attention More ❯

develop a team of Data Engineers to deliver robust, scalable data solutions. Provide technical leadership across the Microsoft and Azure Data Platform (SQL Server, Power BI, Azure Data Factory, Databricks, Data Lake). Champion Data Governance , Data Quality , and Data Management best practices. Collaborate with business and technology teams to align data solutions with strategic goals. Oversee Agile delivery, CI More ❯

development experience with: C# (.NET/.NET Core) REST APIs, SQL Server (T-SQL), HTML/CSS/JavaScript/React, Python Comfortable with tools like Azure Data Factory , Databricks , Power Automate , Power Platform , Copilot Studio . Strong knowledge of cloud security , automation , and DevOps principles. ?? Bonus Points for: Experience in the insurance market Familiarity with data architecture and data More ❯

Engineering, Data Science, or a related field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement scalable More ❯

Engineering, Data Science, or a related field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement scalable More ❯

Engineering, Data Science, or a related field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement scalable More ❯

with trading background) Location: Canary Wharf, UK (Hybrid) (3 days onsite & 2 days remote) Role Type: 6 Months Contract with possibility of extensions Mandatory Skills : Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow, Energy Trading experience Job Description:- Data Engineer (Python enterprise developer): 6+ years of experience in python scripting. Proficient in developing applications in More ❯

Agile delivery Knowledge of compliance, regulatory reporting, and enterprise operational processes Proven experience delivering complex software solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS platforms Package: £85,000 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits package including pension, healthcare, and wellbeing More ❯

Agile delivery Knowledge of compliance, regulatory reporting, and enterprise operational processes Proven experience delivering complex software solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS platforms Package: £85,000 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits package including pension, healthcare, and wellbeing More ❯

skills You’re comfortable taking ownership of projects and working end-to-end You have a good knowledge of Distributed Systems and DevOps tooling Ideally you will also have Databricks experience What’s in it for you: As a Senior Data Engineer you will earn a highly competitive package: Salary to £85k Bonus c15% Pension (up to 7% employer contribution More ❯

skills You're comfortable taking ownership of projects and working end-to-end You have a good knowledge of Distributed Systems and DevOps tooling Ideally you will also have Databricks experience What's in it for you: As a Senior Data Engineer you will earn a highly competitive package: Salary to £85k Bonus c15% Pension (up to 7% employer contribution More ❯

experience in data architecture and modelling (3NF, Kimball, Data Vault). Deep understanding of database design, metadata-driven pipelines, and data integration. Proven experience with Azure Data Services-including Databricks, Data Factory, Azure SQL, and CosmosDB. Expertise in data warehousing, data lakes, and lakehouse architectures. Strong knowledge of MDM, data cataloguing, and data lineage management. Experience across the full technology More ❯

Experience domains. Proficiency in SQL for data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and More ❯

into a management (mentoring, coaching, team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering More ❯

DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details Experience required: Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management:Demonstrated expertise in maintaining and prioritizing product backlogs, writing More ❯

DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details... Experience required: Technical proficiency: Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management: Demonstrated expertise in maintaining and prioritizing product backlogs, writing More ❯

including NLP, deep learning, Bayesian inference, time-series forecasting, and recommendation systems. Hands-on experience with cloud platforms such as AWS, GCP, or Azure, and exposure to tools like Databricks or Dataiku. Practical knowledge of MLOps frameworks for deploying, monitoring, and retraining predictive models. Excellent communication and storytelling skills, with the ability to simplify complex concepts for non-technical audiences. More ❯

leadership Hands-on background in model deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

leadership Hands-on background in model deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯