76 to 100 of 229 Databricks Jobs in the City of London

role, you'll work in the Data Platforms Engineering team, utilising cutting-edge Cloud technology within Microsoft Azure to enhance our Enterprise Data Lakehouse platform. Using tools such as Databricks, Python, and Terraform , you'll design and develop key platform functionality and data analytics solutions. Expect a hands-on experience where you'll contribute significantly to our daily operations, making More ❯

Location: London or Manchester (Hybrid) Salary: £120,000 - £130,000 + Bonus & Benefits Industry: Tech Consultancy | FTSE 250 Clients We're hiring a Databricks Solution Architect for a leading consultancy working with FTSE 250 clients. You'll design and deliver scalable data platforms using Databricks and cloud technologies - we are searching for a true Consultant who can help deliver commercial … value for their clients. Responsibilities: Architect and implement Databricks solutions for enterprise clients Define best practices for data engineering, AI/ML, and analytics Work with Azure, AWS, or GCP to ensure seamless cloud integration Guide and mentor technical teams on best practices Requirements: Strong experience as a Solution Architect in Databricks and cloud platforms Expertise in Apache Spark, Delta More ❯

Data Engineering Consultant | London (Hybrid) | Permanent £70,000 - £85,000 + Bonus Are you a Databricks expert ready to design the future of data platforms? Join a next-gen data & AI consultancy delivering real-world impact through smart, scalable solutions for some of the UK’s top organisations. 🔍 The Role We’re looking for a Data Engineering Consultant who can … blend deep technical expertise with strong client-facing skills. You’ll lead the design and delivery of modern data architectures using Databricks on AWS or Azure , developing high-performance pipelines and helping businesses unlock the power of their data. What You’ll Do Design and build modern data solutions using Databricks on the cloud ☁️ Create scalable pipelines in Python and … solution design Stay at the forefront of data engineering and AI trends What We’re Looking For 6+ years of hands-on experience in data engineering Proven expertise in Databricks (deployment, pipeline development, performance optimisation) Strong coding skills in Python and SQL Solid experience with AWS or Azure Familiarity with DevOps practices (CI/CD, Infrastructure as Code) Confident in More ❯

an experienced Azure Data Engineer to play a key role in delivering the next phase of a business-critical data programme. You'll apply your technical expertise across Azure Databricks, Data Factory, Azure SQL, and SQL Server, contributing directly to the integration of financial data into a new Azure Data Platform. Responsibilities: Design, build and optimise scalable data solutions using … Azure cloud technologies. Lead the development of data pipelines in Azure Databricks, Data Factory, and T-SQL. Provide senior-level technical direction to onshore and offshore development teams. Translate data requirements into effective data engineering solutions. Collaborate closely with business stakeholders to ensure alignment with project goals. Maintain detailed documentation and ensure robust testing practices. Plan and manage progress in … Agile sprints alongside project managers and scrum masters. Requirements: Extensive experience in Azure data engineering, with strong expertise in Databricks, Azure SQL, and Data Factory. Deep technical knowledge of SQL Server including stored procedures and complex data transformation logic. Proven experience in designing and delivering data warehousing and dimensional modelling solutions. Excellent collaboration skills with a track record of working More ❯

an experienced Azure Data Engineer to play a key role in delivering the next phase of a business-critical data programme. You'll apply your technical expertise across Azure Databricks, Data Factory, Azure SQL, and SQL Server, contributing directly to the integration of financial data into a new Azure Data Platform. Responsibilities: Design, build and optimise scalable data solutions using … Azure cloud technologies. Lead the development of data pipelines in Azure Databricks, Data Factory, and T-SQL. Provide senior-level technical direction to onshore and offshore development teams. Translate data requirements into effective data engineering solutions. Collaborate closely with business stakeholders to ensure alignment with project goals. Maintain detailed documentation and ensure robust testing practices. Plan and manage progress in … Agile sprints alongside project managers and scrum masters. Requirements: Extensive experience in Azure data engineering, with strong expertise in Databricks, Azure SQL, and Data Factory. Deep technical knowledge of SQL Server including stored procedures and complex data transformation logic. Proven experience in designing and delivering data warehousing and dimensional modelling solutions. Excellent collaboration skills with a track record of working More ❯

transformation journey where your work will unlock real impact. 🌟 What you'll do Build robust data pipelines using Python, PySpark, and cloud-native tools Engineer scalable data models with Databricks, Delta Lake, and Azure tech Collaborate with analysts, scientists, and fellow engineers to deliver insights Drive agile DevOps practices and continuous improvement Stay curious, keep learning, and help shape our … digital platforms 🧠 What we’re looking for Proven experience as a Data Engineer in cloud environments (Azure ideal) Proficiency in Python, SQL, Spark, Databricks Familiarity with Hadoop, NoSQL, Delta Lake Bonus: Azure Functions, Logic Apps, Django, CI/CD tools 💼 What you’ll get from Mars A competitive salary & bonus Hybrid working with flexibility built in Access to Mars University More ❯

transformation journey where your work will unlock real impact. 🌟 What you'll do Build robust data pipelines using Python, PySpark, and cloud-native tools Engineer scalable data models with Databricks, Delta Lake, and Azure tech Collaborate with analysts, scientists, and fellow engineers to deliver insights Drive agile DevOps practices and continuous improvement Stay curious, keep learning, and help shape our … digital platforms 🧠 What we’re looking for Proven experience as a Data Engineer in cloud environments (Azure ideal) Proficiency in Python, SQL, Spark, Databricks Familiarity with Hadoop, NoSQL, Delta Lake Bonus: Azure Functions, Logic Apps, Django, CI/CD tools 💼 What you’ll get from Mars A competitive salary & bonus Hybrid working with flexibility built in Access to Mars University More ❯

z2bz0 years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth … Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools More ❯

z2bz0 years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth … Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools More ❯

z2bz0 years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth … Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools Priyanka Sharma Senior Delivery Consultant Office: 02033759240 Email: psharma@vallumassociates.com More ❯

z2bz0 years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth … Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools Priyanka Sharma Senior Delivery Consultant Office: 02033759240 Email: psharma@vallumassociates.com More ❯

z2bz0 years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth … Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF. Preferred Skills : Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools. Note : This is a senior-level, in-house opportunity focused on Data Architecture, Cloud technologies, and More ❯

z2bz0 years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth … Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF. Preferred Skills : Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools. Note : This is a senior-level, in-house opportunity focused on Data Architecture, Cloud technologies, and More ❯

z2bz0 years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth … Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills: Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools More ❯

z2bz0 years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth … Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills: Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools More ❯

which they modernise the use of their data. Overview of responsibilities in the role: Design and maintain scalable, high-performance data pipelines using Azure Data Platform tools such as Databricks (PySpark), Data Factory, and Data Lake Gen2. Develop curated data layers (bronze, silver, gold) optimised for analytics, reporting, and AI/ML, ensuring they meet performance, governance, and reuse standards. … clear technical documentation, including data dictionaries, architecture diagrams, lineage, and testing protocols. What they are looking for from you: High level of experience with Microsoft Azure (Azure Data Factory, Databricks, Data Lake Gen 2) Experience building stable and accurate data pipelines Expertise with SQL and Python Familiarity with medallion architecture 4+ years working in a fast-paced data engineer position More ❯

which they modernise the use of their data. Overview of responsibilities in the role: Design and maintain scalable, high-performance data pipelines using Azure Data Platform tools such as Databricks (PySpark), Data Factory, and Data Lake Gen2. Develop curated data layers (bronze, silver, gold) optimised for analytics, reporting, and AI/ML, ensuring they meet performance, governance, and reuse standards. … clear technical documentation, including data dictionaries, architecture diagrams, lineage, and testing protocols. What they are looking for from you: High level of experience with Microsoft Azure (Azure Data Factory, Databricks, Data Lake Gen 2) Experience building stable and accurate data pipelines Expertise with SQL and Python Familiarity with medallion architecture 4+ years working in a fast-paced data engineer position More ❯

departments, You will have to have a strong understanding of various financial products and the trading life cycle. The role Advanced proficiency in SQL (T-SQL, PL/SQL, Databricks SQL) Knowledge of Kimball data modelling methodology Experience using scripting languages such as Python, PowerShell etc. Experience with Microsoft Azure. Strong knowledge of ETL/ELT tools and experience navigating More ❯

will be a hybrid set up, requiring 3 days a week in the London HQ. What are we looking for? Advanced proficiency in SQL (T-SQL, PL/SQL, Databricks SQL) Experience using scripting languages such as Python, PowerShell etc. Data Modelling, cleansing and enrichment. Experience with Microsoft Azure. Strong knowledge of ETL/ELT tools and experience navigating data More ❯

will be a hybrid set up, requiring 3 days a week in the London HQ. What are we looking for? Advanced proficiency in SQL (T-SQL, PL/SQL, Databricks SQL) Experience using scripting languages such as Python, PowerShell etc. Data Modelling, cleansing and enrichment. Experience with Microsoft Azure. Strong knowledge of ETL/ELT tools and experience navigating data More ❯

to interpret results. Strategic thinker with the ability to work independently, manage multiple priorities and clearly communicate to non-technical audiences 👍 Bonus points for experience with: Knowledge of Python, Databricks, DBT and/or Fabric Familiarity with Azure data services Strong knowledge of hospitality systems, booking flows, CRM and loyalty platforms — and how they power the guest journey. Experience creating More ❯

to interpret results. Strategic thinker with the ability to work independently, manage multiple priorities and clearly communicate to non-technical audiences 👍 Bonus points for experience with: Knowledge of Python, Databricks, DBT and/or Fabric Familiarity with Azure data services Strong knowledge of hospitality systems, booking flows, CRM and loyalty platforms — and how they power the guest journey. Experience creating More ❯

pressure Nice to Have (But Not Dealbreakers) If you’ve worked with any of the following, that’s a bonus—but not a requirement: Big data tools (e.g., Spark, Databricks, Elasticsearch) Salesforce Marketing Cloud or campaign analytics Google Analytics (and ideally BigQuery) Alteryx or similar BI/automation tools A previous role in digital entertainment, sports, or consumer-focused tech More ❯

pressure Nice to Have (But Not Dealbreakers) If you’ve worked with any of the following, that’s a bonus—but not a requirement: Big data tools (e.g., Spark, Databricks, Elasticsearch) Salesforce Marketing Cloud or campaign analytics Google Analytics (and ideally BigQuery) Alteryx or similar BI/automation tools A previous role in digital entertainment, sports, or consumer-focused tech More ❯

and growing high-performing data science teams. Excellent stakeholder management and communication skills – able to explain complex concepts in accessible language. Proficiency in tools such as Azure ML Studio , Databricks , AWS/SageMaker , Snowflake , and cloud-native platforms. Familiarity with CI/CD tools like Azure DevOps Pipelines or GitHub Actions . Comfortable working in Agile environments and contributing to More ❯