201 to 225 of 607 Databricks Jobs in the UK

a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing - Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role get in More ❯

as Code tools like Terraform. Proficient in Git version control, including branching strategies and collaborative workflows. Familiarity with a range of technologies, including AWS services, Azure DevOps, MongoDB, UiPath, Databricks, and Power Platform, would be advantageous, though not mandatory. About Unite Students Founded in 1991, Unite Students is a FTSE 100 business and the UK`s leading provider of purpose More ❯

as Code tools like Terraform. Proficient in Git version control, including branching strategies and collaborative workflows. Familiarity with a range of technologies, including AWS services, Azure DevOps, MongoDB, UiPath, Databricks, and Power Platform, would be advantageous, though not mandatory. About Unite Students Founded in 1991, Unite Students is a FTSE 100 business and the UK s leading provider of purpose More ❯

Infrastructure as Code tools like Terraform. Proficient in Git version control, including branching strategies and collaborative workflows. Familiarity with a rangeof technologies, including AWS services, Azure DevOps, MongoDB, UiPath, Databricks, and Power Platform, would be advantageous, though not mandatory. What You`ll Get in Return A discretionary annual bonus so you can share in the company`s success 25 days More ❯

Infrastructure as Code tools like Terraform. Proficient in Git version control, including branching strategies and collaborative workflows. Familiarity with a rangeof technologies, including AWS services, Azure DevOps, MongoDB, UiPath, Databricks, and Power Platform, would be advantageous, though not mandatory. What You ll Get in Return A discretionary annual bonus so you can share in the company s success 25 days More ❯

essential for automating models and advancing our engineering practices. You're familiar with cloud technologies . You have experience working with data in a cloud data warehouse (Redshift, Snowflake, Databricks, or BigQuery) Experience with a modern data modeling technology (DBT) You document and communicate clearly . Some experience with technical content writing would be a plus You are excited to More ❯

on time, taking project briefs and refining them to strong results. Exposure to Python data science stack Knowledge and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark and geospatial data/modelling are a plus. Interview process: Subject to change 1) 15minute conversation with Talent Team 2) 30minute interview with hiring manager 3) You'll be More ❯

solution principal role. Experience supporting sales forecasting, pipeline management, deal structuring, and sales coaching. Familiarity with AI/ML and Data Management frameworks and tools (TensorFlow, PyTorch, Keras, Spark, Databricks etc.) Experience in on-premise data center infrastructures relevant to AI/ML, Data and Data Management Strong cross-functional leadership and internal stakeholder management skills. Exceptional presentation, proposal development More ❯

standard methodology and collaborating with various partners to improve the culture around data Great interpersonal skills and collaborative mindset Hands-on experience with modern cloud data warehouses such as Databricks/Snowflake, ideally on AWS This role will be hands-on and you will be responsible for implementing process and reporting around governance, as such, proficiency in SQL based data More ❯

delivery within constraints. Demonstrate strong organisational skills to handle concurrent tasks. Ability to manage workload efficiently, addressing various issues promptly. Proficient in data analytics and manipulation Desirable: PowerBI, SQL, DataBricks, ArcGIS, ArcOnline, Excel, Google Sheets, AppSheets, ProntoForms, Jira, Lucid. If you don't meet all of our outlined requirements we'd still love for you to apply. If you feel More ❯

delivery within constraints. Demonstrate strong organisational skills to handle concurrent tasks. Ability to manage workload efficiently, addressing various issues promptly. Proficient in data analytics and manipulation Desirable: PowerBI, SQL, DataBricks, ArcGIS, ArcOnline, Excel, Google Sheets, AppSheets, ProntoForms, Jira, Lucid. If you don't meet all of our outlined requirements we'd still love for you to apply. If you feel More ❯

across multiple time zones. Ability to foster a collaborative learning environment that encourages continuous improvement and knowledge sharing. Nice to Have: Familiarity with technologies such as Elasticsearch, Solr, PostgreSQL, Databricks, Delta Share, and Delta Lake. Experience working with complex patent and litigation data models. Exposure to external data sources such as DocDB, Espacenet, and USPTO. Proficiency with Pandas and PySpark. More ❯

large-scale job orchestration frameworks such as Flyte, Spark or similar. Knowledge of GraphQL, Prisma, Kafka, or modern cloud infrastructure (Azure, GCP, or AWS) Experiencing Data lake tools (e.g. Databricks) Exposure to AI/ML model development workflows and data tooling This is a full-time role based in our office in London. At Wayve we want the best of More ❯

users in line with security standards Qualifications 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 ❯

users in line with security standards Qualifications 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 ❯

users in line with security standards Qualifications 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 ❯

ability to work wimulti-functionalnal teams, including technical and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS or another cloud platform (GCP/Azure More ❯

NLP, image classifiers, deep learning, or large language models Experience with experiment design and conducting A/B tests Experience building shared or platform-style ML systems Experience with Databricks and PySpark Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and More ❯

This is an exciting contract opportunity for an SC Cleared Azure Data Engineer with a strong focus on Databricks to join an experienced team in a new customer engagement working at the forefront of data analytics and AI. This role offers the chance to take a key role in the design and delivery of advanced Databricks solutions within the Azure … ecosystem. Responsibilities: Design, build, and optimise end-to-end data pipelines using Azure Databricks, including Delta Live Tables. Collaborate with stakeholders to define technical requirements and propose Databricks-based solutions. Drive best practices for data engineering. Help clients realise the potential of data science, machine learning, and scaled data processing within Azure/Databricks ecosystem. Mentor junior engineers and support … Take ownership for the delivery of core solution components. Support with planning, requirements refinements, and work estimation. Skills & Experiences: Proven experience designing and implementing data solutions in Azure using Databricks as a core platform. Hands-on expertise in Delta Lake, Delta Live Tables and Databricks Workflows. Strong coding skills in Python and SQL, with experience in developing modular, reusable code More ❯

engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data … RESPONSIBILITIES Data Pipeline Development: Lead the design, implement, and maintain scalable data pipelines for ingesting, processing, and transforming large volumes of data from various sources using tools such as databricks, python and pyspark. Data Architecture: Architect scalable and efficient data solutions using the appropriate architecture design, opting for modern architectures where possible. Data Modeling: Design and optimize data models and … or SQL for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka, and Flink. Experience in using modern data architectures, such as lakehouse. Experience with CI/CD pipelines, version control systems like Git, and containerization (e.g., Docker). Experience More ❯

AWS Data Engineer London, UK Permanent Strong experience in Python, PySpark, AWS S3, AWS Glue, Databricks, Amazon Redshift, DynamoDB, CI/CD and Terraform. Total 7 + years of experience in Data engineering is required. Design, develop, and optimize ETL pipelines using AWS Glue, Amazon EMR and Kinesis for real-time and batch data processing. Implement data transformation, streaming, and More ❯

data platforms, especially Data Lakehouse, to enhance underwriting analytics and business insights. Key requirements Hands on experience designing and delivering solutions using Azure services including Azure Data Factory, Azure Databricks High proficiency in SQL and Python Insurance background If you are looking for a company who nurture and retain the best talent in the market then apply today. Interviews are More ❯

years of experience in applied machine learning and deploying production models. Proficiency in Python, SQL, and frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with AWS services and Databricks; understanding of ML Ops is highly beneficial. Ability to adapt quickly to new tools and deliver scalable solutions independently. Familiarity with data pipelines involving Kafka, Debezium, S3, Lambda, and Delta Lake More ❯

database skills Experience with geospatial data and FME Solid track record in technical delivery and team leadership AWS/FME certifications preferred Bonus: Experience with ETL tools (Glue, ADF, Databricks) If you are interested in spearheading data transformation in leading company, please apply now. Alternatively, feel free to reach me directly on . co . uk. More ❯

on to mentor teams on technical delivery Background in the banking/financial services sector Strategic mindset with a delivery-focused leadership style Tech Environment: Azure Data Stack (Synapse, Databricks, Azure SQL, Power BI) SQL, Python Legacy systems primarily in SQL Server Interview Process: Initial 30-minute informal converdation 60-minute technical/competency interview with Engineering Managers Final More ❯