1 to 25 of 37 Databricks Jobs in the South West

pyspark and SSIS Comfortable building out and administrating data models, ensuring that they are accessible and used appropriately, leveraging platforms such as Databricks and Power BI, and Microsoft Fabric Familiarity with data processing paradigms such as ETL/ELT, Kimball, Medallion Data Lakehouse Passionate about data and information with ...

best practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

best practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

best practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

best practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

best practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

best practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

best practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

best practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

experience in data engineering roles (midsenior level) Hands-on expertise with Azure data services such as Data Factory, Synapse and Azure SQL Experience using Databricks and Python in data processing workflows Strong SQL skills and practical knowledge of dimensional modelling and warehouse design Familiarity with CI/CD approaches ...

data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency … Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead teams ...

Lead Databricks Engineer - Single Customer View Location: Bournemouth (Hybrid) Contract: 12-month FTC Salary: £85,000 + Benefits Lead Databricks Engineer: About the Role Join our Single Customer View (SCV) Programme , a strategic initiative within Financial Services aimed at delivering a unified, trusted view of customer data. We're seeking … highly skilled Lead Databricks Engineer to design and implement scalable data pipelines that form the backbone of our Lakehouse platform, enabling accurate analytics, reporting, and regulatory compliance. You'll work with cutting-edge technologies including Databricks , PySpark , and Azure Data Factory , applying best practices in data engineering and governance ...

robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. ...

fully paid for. Tech Stack • .NET 8 • Azure (Functions, cloud-native services) • PostgreSQL • Next.js (separate frontend team handles this) • Playwright for E2E testing • Databricks + ML tooling • GitHub Copilot/AI-assisted development • Modern observability stack (Application Insights, telemetry, logging) You will also work on large-scale integrations with global ...

Strong technical analytical skills as a Data Analyst Managing and manipulating data experience Strong working knowledge of SQL for data analysis (MS-SQL/Databricks - T-SQL, View and table design, Experience of ETL) Expert with PowerBI Advanced MS Excel (Power Query, Power Pivots) Stakeholder management and facilitation of decisions ...

deliver high-quality, secure, and scalable data solutions gaining exposure to multiple cloud platforms (AWS, Azure, OCI, GCP) and technologies such as Palantir Foundry, Databricks, Spark, and Airflow. Other times you will be working directly with the client, using your analytical and data skills to support their decision-making. … environment. Eligible for UK Security Clearance (or 5+ years UK residency . Desirable Skills & Exposure Familiarity with data lakes, warehouses, or streaming architectures (e.g. Databricks, Spark, Kafka). Experience with ETL tools, orchestration frameworks, or automation pipelines. Understanding of version control and CI/CD (e.g. GitHub, Azure DevOps). ...

will bring 5-7 years of experience in data engineering, with a strong focus on Azure Databricks. Key Skills & Experience Proven expertise in Azure Databricks (must-have) Hands-on experience with DBT (Data Build Tool) Strong knowledge of Snowflake Solid background in designing, building, and optimizing data pipelines Ability ...

Engineer to join our team. The ideal candidate will bring 5-7 years of experience in data engineering, with a strong focus on Azure Databricks click apply for full job details ...

Bristol The rate is £249 per day This is a temporary role The reference number is: 5285574 The ideal candidate is highly skilled in Databricks and Advanced Python, adept at unpicking and improving complex data pipelines, and ultimately focused on delivery, collaboration, and knowledge transfer? I f you are interested ...

Data Engineering Technical Lead Global Investment Bank London - Hybrid Permanent - Excellent Package + Benefits We are working with one of the world's leading banking groups, who we have partnered with for 15 years. We ...

England Combined Authority are seeking a highly skilled Data Engineer to support the optimisation, documentation, and enhancement of our existing data pipelines within the Databricks Lakehouse environment. This role will involve hands-on development, reverse-engineering of current solutions, and close collaboration with internal teams to ensure efficient BAU operations …/day via umbrella inside IR35 Duration: Initial 3-month, subject to extension Hours: Full-time position Responsibilities include: Develop, optimise, and debug Databricks notebooks, Delta Lake workflows, and Genie-bot automations Design, maintain, and enhance ETL pipelines , ensuring reliability and performance Validate, transform, and orchestrate data using Python ...

ownership of the design, development, and maintenance of data models that underpin our enterprise data platform, with a particular focus on Databricks and the Nova platform. This role is critical in ensuring that our data assets are structured, governed, and optimised to support business intelligence, analytics, and reporting requirements. … data modelling lifecycle, from requirements gathering through to deployment and ongoing maintenance. Design, develop, and maintain logical and physical data models, primarily using Databricks and the Nova platform. Ensure data models are aligned with business requirements, data governance standards, and best practices. Collaborate with data engineers, architects, and business stakeholders ...

ability to influence stakeholders while mentoring a high-performing team. You will work closely with engineering, BI, and product teams, leveraging platforms such as Databricks to build scalable models and pipelines. This role is both visionary and practical: defining standards, leading innovation, and writing production-grade code when needed. … from ideation through to production deployment. - Collaborate with Technical Leads to ensure integrated delivery across RNLIs data platforms. - Influence platform design and configuration, including Databricks and Azure ML, to optimise for data science workloads. - Line manage and mentor the data science team, fostering curiosity, innovation, and continuous improvement. - Define ...

Our client, an award-winning fintech specialising in investment and insurance data solutions, is urgently seeking a Senior Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines ...

Our client, an award-winning fintech specialising in investment and insurance data solutions, is urgently seeking a Senior Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines ...