176 to 200 of 493 Databricks Jobs in the UK

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 ❯

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 ❯

Do Develop and maintain BI solutions from end-to-end, collaborating with scientists and analysts. Build automated data models and pipelines for large, complex datasets, with a focus on Databricks in Azure. Drive data standardization and best practices to support a strong data culture. What You'll Bring Proven expertise in Power BI, DAX, Power Query (M), Power Apps, and 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 ❯

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 ❯

Strong AWS expertise and cloud-based data processing Advanced SQL/database skills Delivery management and mentoring abilities Highly Desirable: Familiarity with tools like AWS Glue, Azure Data Factory, Databricks (desirable) Experience with geospatial datasets and tools (e.g. QGIS, FME) Here at Southern Lights, we strive to create an inclusive environment where every employee feels valued and empowered to contribute More ❯

to high-impact solutions that support both internal teams and strategic initiatives. Your Experience Should Include: Strong experience in a data development and automation role Experience with Azure Synapse, Databricks, or Power Apps. Knowledge of DevOps practices and CI/CD pipelines in Azure. Why Join? Meaningful work: Build data solutions that support a healthcare mission with real-world impact. More ❯

to high-impact solutions that support both internal teams and strategic initiatives. Your Experience Should Include: Strong experience in a data development and automation role Experience with Azure Synapse, Databricks, or Power Apps. Knowledge of DevOps practices and CI/CD pipelines in Azure. Why Join? Meaningful work: Build data solutions that support a healthcare mission with real-world impact. More ❯

proven commercial experience as a Data Scientist or ML Engineer Exposure to behavioral or consumer data is essential, preferably in the Healthcare space Strong Python skills and experience with Databricks or similar platforms Proven track record in predictive modelling with messy, real-world datasets (survey, geospatial, or similar) Hands-on experience with MLOps tools and practices (e.g., MLFlow) and deploying More ❯

proven commercial experience as a Data Scientist or ML Engineer Exposure to behavioral or consumer data is essential, preferably in the Healthcare space Strong Python skills and experience with Databricks or similar platforms Proven track record in predictive modelling with messy, real-world datasets (survey, geospatial, or similar) Hands-on experience with MLOps tools and practices (e.g., MLFlow) and deploying More ❯

data science approaches Experience with data ingestion and ETL pipelines Curious, adaptable, and a natural problem solver Bonus points for: Experience in financial services, insurance, or reinsurance Familiarity with Databricks, Git, PySpark or SQL Exposure to cyber risk or large-scale modelling environments Ready to Apply for this exciting Data Scientist role? Send your CV to (see below) - I'd More ❯

quality Commercial experience blending data engineering and data science approaches Curious, adaptable, and a natural problem solver Bonus points for: Experience in financial services, insurance, or reinsurance Familiarity with Databricks, Git, PySpark or SQL Exposure to cyber risk or large-scale modelling environments Ready to Apply for this exciting Data Scientist role? Send your CV to - I'd love to More ❯

complex delivery. Passionate about the real-world impact of AI and emerging technologies. Nice to Have Experience in sectors like telco, financial services, or retail. Knowledge of tools like Databricks, Snowflake, or Azure ML. Understanding of generative AI use cases and deployment frameworks. Why this opportunity? Work on complex, strategic programmes that blend consulting with hands-on innovation. Collaborate with More ❯

ECS/EC2, S3 and RDS. Deep experience with Terraform and infrastructure-as-code practices. Familiarity with tools like Airflow or DBT , and data platforms such as Snowflake or Databricks . Solid experience with CI/CD, observability, and platform reliability practices in cloud-native environments. Understanding of distributed computing concepts , and experience designing systems for scale, security, and availability More ❯

Cloud platforms (AWS/Azure) Data Engineering (Airflow/DBT, Spark) DevSecOps practices Additional highly valued skills include: Terraform Python/Java AWS/Azure Data Engineering Snowflake/Databricks You may be assessed on key skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology skills, as More ❯

with scientists, analysts, and other stakeholders to understand their needs and develop custom BI solutions. Creating robust data models and automated pipelines for large and complex datasets, primarily using Databricks in Azure. Championing best practices in data governance, standardisation, and knowledge sharing to foster a strong data culture. Driving continuous improvements to deliver maximum value to the business. Who We More ❯

with scientists, analysts, and other stakeholders to understand their needs and develop custom BI solutions. Creating robust data models and automated pipelines for large and complex datasets, primarily using Databricks in Azure. Championing best practices in data governance, standardisation, and knowledge sharing to foster a strong data culture. Driving continuous improvements to deliver maximum value to the business. Who We More ❯

needs. Mentor and provide leadership to your junior team members. Technical Requirements Knowledge of Business Intelligence – Data Warehouse methodology, ETL, etc. Cloud Solutions in Azure SQL and Relational Databases DataBricks experience is highly advantageous Benefits Performance Bonus Generous Annual Leave allowance Buy and Sell Holiday scheme Medical coverage Life insurance Pension Retail Discounts Apply Now! If you are an experienced More ❯

wide data strategy aligned with business objectives, focusing on governance, scalability, and innovation Lead the evolution of a modern data platform using cloud-native technologies (e.g. Snowflake, Azure, GCP, Databricks) Manage and mentor cross-functional teams across data engineering, analytics, governance, and data science Promote a data-as-a-product culture, enabling self-serve capabilities and empowering business users Introduce More ❯

to work with multi-functional 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 other cloud platforms (GCP/ More ❯

needs. Mentor and provide leadership to your junior team members. Technical Requirements Knowledge of Business Intelligence - Data Warehouse methodology, ETL, etc. Cloud Solutions in Azure SQL and Relational Databases DataBricks experience is highly advantageous Benefits Performance Bonus Generous Annual Leave allowance Buy and Sell Holiday scheme Medical coverage Life insurance Pension Retail Discounts Apply Now! If you are an experienced More ❯

high-velocity data/development teams and designing and maintaining data infrastructure, pipelines, and automation frameworks. You should also have experience streamlining data workflows using tools like Airflow, DBT, Databricks, and Snowflake while maintaining data integrity, security, and performance. Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience. Minimum of 3 years of More ❯