301 to 325 of 742 Remote Databricks Jobs

The IPO is a modern organisation which depends on its IT and Data services to operate and innovate effectively. In order to provide up to date services to our customers both nationally and internationally, our systems need to be developed More ❯

£46,262 - £56,996 please read allowances on the Civil Service Jobs link Published on Full-time (Permanent) £46,262 - £56,996 please read allowances on the Civil Service Jobs link Published on 26 June 2025 Deadline 6 July 2025 More ❯

Senior Data Engineer Newport (x4 per month) £46,262 - £56,996 **Must be eligible for SC Clearance** The Opportunity Yolk Recruitment are excited to be working with an innovation-driven civil service organisation as they journey through an incredible digital More ❯

Capgemini Invent At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client More ❯

An exciting opportunity has arisen for an experienced Data Solution Architect to become part of the National Data and Analytics (NDA) Platform & Engineering Team.The NDA Platform & Engineering Team is working on providing data to drive the business forward. You'll More ❯

Senior Data Engineer Newport (x4 per month) £46,262 - £56,996 **Must be eligible for SC Clearance** The Opportunity Yolk Recruitment are excited to be working with an innovation-driven civil service organisation as they journey through an incredible digital More ❯

The IPO is a modern organisation which depends on its IT and Data services to operate and innovate effectively. In order to provide up to date services to our customers both nationally and internationally, our systems need to be developed More ❯

Job Description - Data Warehouse Developer About Hiscox: At Hiscox, we care about our people. We hire the best people for the work, and we're committed to diversity and creating a truly inclusive culture, which we believe drives success. We 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 ❯

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 ❯

for the platform, developing API services, and ensuring the integration of ML models into the live environment. What you'll be responsible for: Develop and maintain API services using Databricks and Azure. Implement and manage Azure Cache (Redis) and Azure Redis. Utilize Databricks Delta Live tables for data processing and analytics. Integrate the platform with Snowflake for data storage and … and deployment. What you'll need: Experience in ML Ops engineering, with a focus on Azure and Databricks. Knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience in Data (Delta) Lake Architecture. Experience with Docker and Azure Container Services. Familiarity with API service development and orchestration. Strong problem-solving skills and More ❯

for the platform, developing API services, and ensuring the integration of ML models into the live environment. What you'll be responsible for: Develop and maintain API services using Databricks and Azure. Implement and manage Azure Cache (Redis) and Azure Redis. Utilize Databricks Delta Live tables for data processing and analytics. Integrate the platform with Snowflake for data storage and … and deployment. What you'll need: Experience in ML Ops engineering, with a focus on Azure and Databricks. Knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience in Data (Delta) Lake Architecture. Experience with Docker and Azure Container Services. Familiarity with API service development and orchestration. Strong problem-solving skills and More ❯

Job Description Join our client in embarking on an ambitious data transformation journey using Databricks, guided by best practice data governance and architectural principles. To support this, we are recruiting talented data engineers. As a major UK energy provider, our client is committed to 100% renewable energy and sustainability, focusing on delivering exceptional customer experiences. It is initially a … one day a week based in their Nottingham office, negotiable. It is a full-time role, 37 hours per week. Accountabilities: Develop and maintain scalable, efficient data pipelines within Databricks, evolving them as requirements and technologies change. Build and manage an enterprise data model within Databricks. Integrate new data sources into the platform using batch and streaming processes, adhering to … Knowledge and Skills: Extensive experience with Python, including advanced concepts like decorators, protocols, functools, context managers, and comprehensions. Strong understanding of SQL, database design, and data architecture. Experience with Databricks and/or Spark. Knowledge of data governance, data cataloguing, data quality principles, and related tools. Skilled in data extraction, joining, and aggregation tasks, especially with big data and real More ❯

Services team. Reporting to our Head of Data Platform and Services, you'll not only maintain and optimize our data infrastructure but also spearhead its evolution. Built predominantly on Databricks, and utilizing technologies like Pyspark and Delta Lake, our infrastructure is designed for scalability, robustness, and efficiency. You'll take charge of developing sophisticated data integrations with various advertising platforms … with data-driven insights and informed decision-making What you'll be doing for us Leadership in Design and Development : Lead in the architecture, development, and upkeep of our Databricks-based infrastructure, harnessing Pyspark and Delta Lake. CI/CD Pipeline Mastery : Create and manage CI/CD pipelines, ensuring automated deployments and system health monitoring. Advanced Data Integration : Develop … Champion : Advocate for the strategic use of data across the organization. Skills-wise, you'll definitely: Expertise in Apache Spark Advanced proficiency in Python and Pyspark Extensive experience with Databricks Advanced SQL knowledge Proven leadership abilities in data engineering Strong experience in building and managing CI/CD pipelines. Experience in implementing data integrations with multiple advertising and analytics platforms. 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 ❯

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 ❯

organization, you will work with product managers and engineers to explore product innovations arising from emerging technologies and new customer use cases. Technology You'll Use Python, pandas, PyTorch, Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, Google Vertex AI Your Role Responsibilities Research and develop expertise in product innovation areas including unstructured data management, AI governance, and protected cross-entity … experts. Proficiency in Python, including libraries like pandas, PyTorch, matplotlib, and Seaborn, with experience in data science and engineering. Experience with cloud service technologies and enterprise tools such as Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, and Google Vertex AI. Role Essentials Postgraduate education in Science, Technology, Engineering, or Mathematics. BA/BS or equivalent, or relevant combination of education More ❯

a numerate subject such as Analysis, Data Science, or Maths with specific analytical qualifications is essential Previous experience as a Data Analyst or similar role is preferred Experience in Databricks would be highly desired but is not required The right candidate will likely only have some of the following technical skills & experience (listed is our current software solution): ExData visualisation … tools (PowerBI) and manipulating data (Python/Excel/VBA/SQL/Databricks/Spark), Analytical models (Python: SciKitLearn, Imblearn, Prophet, XGBoost, ExtraTrees, Kmeans Clustering), Web Scraping (Python: Selenium, Chrome driver, BeautifulSoup) and understanding of Databases (Oracle/SAP Hana/AWS). At Evri, we know we only grow if our people do too. That's why we More ❯

be a bonus) SQL PySpark Delta Lake Bash (both CLI usage and scripting) Git Markdown Scala (bonus, not compulsory) Azure SQL Server as a HIVE Metastore (bonus) Technologies: Azure Databricks Apache Spark Delta Tables Data processing with Python PowerBI (Integration/Data Ingestion) JIRA #J-18808-Ljbffr More ❯

deliver a data roadmap aligned to business goals, with thoughtful prioritisation balancing today’s needs and tomorrow’s vision Shape and deliver a single, reliable source of truth in DataBricks, enabling smarter and more personalised decisions across the organisation Cultivate a culture of curiosity and self service by upskilling teams in data literacy and creating space for the team to … engagement and relationship-building, especially at senior levels A thoughtful and empowering leader, dedicated to nurturing team wellbeing and growth Deeply familiar with data transformation programmes and platforms like DataBricks A believer in strong data foundations, with a pragmatic approach to delivery Holds a relevant degree or equivalent experience in statistics, mathematics or related fields It would be great if More ❯

Power BI (or similar tools) Some Python knowledge Strong attention to detail and problem-solving skills Comfortable explaining data to non-technical stakeholders Nice to have: Experience with Azure, Databricks or ETL processes Understanding of data modelling concepts What’s on offer: Up to £40,000 salary Hybrid working – 3 days a week in the Manchester office 25 days holiday More ❯

quality data solutions. Ensure data quality through rigorous testing and validation. Apply data modeling techniques to structure data for optimal performance and usability. Profile Strong knowledge with SQL, DBT, Databricks, Python, Oracle Strong testing mindset (quality-first principle) Star schema modeling (facts/dimensions) You have an e xperience in the banking sector You have good written and spoken communication More ❯