76 to 100 of 155 Databricks Jobs in Berkshire

deliver end-to-end data architecture solutions to support business intelligence, reporting, and regulatory needs Lead the integration and optimisation of large-scale data platforms using Azure Synapse and Databricks Build and maintain robust data pipelines using Python (PySpark) and SQL Collaborate with data engineers, analysts, and stakeholders to ensure data quality, governance, and security Ensure all solutions adhere to … financial regulations and internal compliance standards Key Skills & Experience: Proven experience as a Data Architect within the financial services sector Hands-on expertise with Azure Synapse Analytics and Databricks Strong programming and data engineering skills in Python (PySpark) and SQL Solid understanding of financial data and regulatory compliance requirements Excellent stakeholder communication and documentation skills More ❯

experience across coding/configuration/automation/monitoring/security is necessary. Significant AWS or Azure hands-on experience. ETL Tools such as Azure Data Fabric (ADF) and Databricks or similar ones. Data Lakes: Azure Data, Delta Lake, Data Lake or Databricks Lakehouse. Certifications: AWS, Azure, or Cloudera certifications are a plus. The role comes with an extensive benefits … sponsorship for this role. KEYWORDS Lead Data Engineer, Senior Lead Data Engineer, Spark, Java, Python, PySpark, Scala, Big Data, AWS, Azure, On-Prem, Cloud, ETL, Azure Data Fabric, ADF, Databricks, Azure Data, Delta Lake, Data Lake. Please note that due to a high level of applications, we can only respond to applicants whose skills and qualifications are suitable for this More ❯

of leading technologies and platforms. Full training will be provided in SQL, Looker, and DBT for reporting, dashboarding, and data pipeline development. You’ll also get exposure to Python, Databricks, and Azure as you grow into the role. There is also future potential to gain exposure in data science and machine learning projects as the team evolves. Day-to-Day … proactive, entrepreneurial mindset with a desire to learn and solve problems Excellent communication skills and confidence working with business stakeholders Tech Stack You’ll Learn SQL Looker DBT Python Databricks Azure Let me know if you want to tailor this for LinkedIn or make it sound more casual or more technical More ❯

stakeholders Follow CI/CD and code best practices (Git, testing, reviews) Tech Stack & Experience: Strong Python (Pandas), PySpark, and SQL skills Cloud data tools (Azure Data Factory, Synapse, Databricks, etc.) Data integration experience across formats and platforms Strong communication and data literacy Nice to Have: Commodities/trading background Experience with data lakes and open-source data tools Familiarity More ❯

Strong data visualisation using Power BI and coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please apply if this sounds like you More ❯

data modelling and analysis Power BI experience in a business-facing environment Nice to have: Python for data analysis or scripting Familiarity with cloud data environments (e.g. Azure, Snowflake, Databricks) If you're a BI developer with London Market experience looking to make a real impact, this is a rare opportunity to help shape a data-driven future from the More ❯

in SQL, Excel, and data visualisation tools like Tableau or Power BI Experience with cloud platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS) Familiarity with Databricks, Snowflake, and programming languages like Python or R is a plus Ability to translate complex findings into clear insights for diverse audiences Strong attention to detail and data integrity More ❯

EXPERIENCE A successful Data Engineering Consultant will have the following: Solid technical ability in Python , SQL & Azure (essential). Strong proficiency in Microsoft Azure and relevant tools/technologies ( Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse ). Proven understanding of DevOps best practices: CI/CD (Azure DevOps is preferred). Solid communication skills and business-facing/ More ❯

with clients to uncover data challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and pipelines that power real-time insights More ❯

high-performing data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools More ❯

high-performing data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools More ❯

IDEs & notebooks. Git & GitHub (or similar) Production: Serving to APIs, e.g. Streamlit, Dash Production particularly MLOps/LLMOps Good To Have Skills Fabric Copilot, Copilot Studio PySpark, R, Julia Databricks CRM familiarity, e.g. Salesforce Able to learn new skills on the fly, staying topical in a rapidly evolving field Innovating new products Microsoft Azure Data Scientist Associate (DP-100) What More ❯

the technical subject matter to non-technical audiences (in English) · Nice to have: Experience working on an agile software engineering team and working directly with Product Management teams; Azure Databricks, Microsoft Azure certification, Azure AI Fundamentals, Azure Data Scientist Associate Preferred Skills/Experience: · Demonstrates strong interpersonal, communication, and presentation skills · Ability to explain findings and recommendations to a broad More ❯

related projects, coordinating with different teams and driving project deliverables. Solid understanding of data governance principles and practices. Knowledge of Azure cloud services such as Azure Data Factory, Azure Databricks or Azure Synapse Analytics. Strong communication skills and ability to explain technical concepts to non-technical stakeholders. A proactive attitude towards learning, adapting to change, and continuous improvement in data More ❯

with security standards Qualifications 3-5 years’ experience in a data, operations, or analytics-focused role Familiarity with BI and reporting platforms such as Power BI, Datorama, Data Studio, Databricks, SQL Strong communication skills and a collaborative, solutions-focused mindset An organised, proactive approach—comfortable working across teams and timelines Excitement for new technology, data storytelling, and digital marketing innovation More ❯

Social network you want to login/join with: We’re working with a cutting-edge SaaS business that's revolutionising how organisations integrate systems, manage data, and deliver insights. This high-growth, product-led company offers a game-changing More ❯

in the process. We want you to find your spark. Because that’s what drives you to be better, be more and ultimately, be more fulfilled. Senior project Manager (Databricks & Azure) London, UK Contract role 3-5 days(onsite)in a week. Job Description: 8-10 years of experience in client handling, project financial management, and people leadership. Strong background … and decision-making skills. Mandate Skills: Needs to be a very experienced in Data platform delivery in the cloud (ideally Azure) over the last 5 years and ideally delivered Databricks and has energy or finance trading knowledge. Hands-on Project delivery, agile delivery experience, managing backlogs etc., able to demonstrate he can manage a team size of approx. 20+ and … technical in nature the better. Oil and gas/energy Industry experience is preferred, and he/she should also need to have a good experience in Project delivery. Databricks Azure More ❯

Hiring: Snr. Databricks ML Engineer Remote (UK-based) | Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. You’ll be someone who: Has deep ML theory … productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders Tech you’ll be using: Python, SQL, Spark … R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

Senior Engineering Manager – Data Platform Tech Stack Knowledge - Databricks, Kafka, AWS 1 Day a Week Onsite - London We are seeking a customer-centric Senior Engineering Manager – Data Platform to lead the teams responsible for building and evolving our core data infrastructure. In this role, you will oversee the development of our foundational data platform — encompassing experimentation frameworks, event ingestion pipelines … or platform teams at scale, ideally in consumer-facing or marketplace environments. Strong knowledge of distributed systems and modern data ecosystems, with hands-on experience using technologies such as Databricks, Apache Spark, Apache Kafka, and DBT. Proven success in building and managing data platforms supporting both batch and real-time processing architectures. Deep understanding of data warehousing, ETL/ELT 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 … AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools #J-18808-Ljbffr 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 ❯

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 ❯

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 ❯

/Tech Lead Certain Advantage are recruiting on behalf of our global energies trading client in London for a Principal Data Engineer who can offer demonstrable experience in: *Technologies* - Databricks (DLT, Performance Tunning, Cost Optimization ), PySpark, Python, SQL, ADF. *Capabilities* – leading a data engineering team, being technically hands on and drive a project to completion, experience running a scrum team. More ❯