1 to 25 of 90 Databricks Jobs in the South West

and optimization of data pipelines and resources. Knowledge, skills and experience Essential: Cloud Platforms: Experience with Azure, AWS, or Google Cloud for data engineering. Cloud Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or similar. Data Modelling & Warehousing: Experience with cloud-based data architecture. CI/CD & DevOps: Knowledge of More ❯

data pipelines and cloud resources. Knowledge, skills and experience Essential: Cloud Platforms: Demonstrable experience with Azure, AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience with modern cloud-based data More ❯

of data pipelines and cloud resources. Knowledge, skills and experience Cloud Platforms: Demonstrable experience with Azure, AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience with modern cloud-based data More ❯

advise, engineer and optimise our customers data products and assets. Azure Data Products: Expertise in one or more of the following platforms: Microsoft Fabric, Azure Synapse Analytics and Azure Databricks, and experience in some of the supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, etc. Azure: Understand core Azure infrastructure concepts More ❯

We work with some of the UK’s biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best More ❯

We are seeking a skilled, motivated Data Engineer to join our dynamic and innovative team. As a Data Engineer in the Data & Insight Team you will work as part of a team of data engineers to design, develop, test and More ❯

data? As a Senior Data Engineer, you will play a critical role in designing, developing, and maintaining scalable data solutions using Microsoft Azure’s ecosystem—including Azure Synapse Analytics, Databricks, and Microsoft Fabric—to deliver innovative solutions across various projects. You will empower our clients to harness their data, drive decision-making, and achieve their business goals. What You’ll … timelines and budgets. What We’re Looking For: 5+ years of experience in data engineering or a related field, delivering solutions across industries. Extensive experience with Azure Synapse Analytics, Databricks, and Microsoft Fabric. Proficiency in developing ETL/ELT pipelines using Azure Data Factory or similar tools. Strong understanding of data modelling, warehousing, and architecture best practices. Expertise in programming More ❯

a thought leader by authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You’ll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You’ll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You’ll work closely with … designing data architectures on platforms like AWS, Azure, or GCP. Technical Skills Extensive experience with ETL/ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for analytics and reporting. Familiarity with version control, CI/CD pipelines, and containerisation tools … solutions, transforming complex data challenges into actionable business insights. We partner with some of the biggest brands worldwide to modernise their data platforms, enabling smarter decision-making through Snowflake, Databricks, Matillion, and other cloud technologies. Our approach is customer-first, innovation-driven, and results-focused, delivering impactful solutions with speed and precision. At Snap, we’re not just consultants—we More ❯

Skills 5+ years' experience in SQL-based production environments (DBA/Data Engineering) Strong SQL/T-SQL skills for dynamic data warehouse processes Expertise in Azure, SSIS, and Databricks Solid understanding of data modelling, integration, and transformation Experience managing CI/CD pipelines and DevOps workflows Strong communication skills and a problem-solving mindset Desirable Skills Experience working with More ❯

abreast of opportunities for innovation with new tools and uses of data. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. Experience of MS Azure Databricks Experience working with Database technologies such as SQL Server, and Data Warehouse Architecture with knowledge of big data, data lakes and NoSQL. Experience following product/solution development lifecycles using More ❯

abreast of opportunities for innovation with new tools and uses of data. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. Experience of MS Azure Databricks Experience working with Database technologies such as SQL Server, and Data Warehouse Architecture with knowledge of big data, data lakes and NoSQL. Experience following product/solution development lifecycles using More ❯

Skills/Experience Essential Extensive experience in data engineering, including designing and developing data pipelines for retrieval/ingestion/presentation/semantics in an Azure environment. Strong ADF, DataBricks, SQL, Python, Power BI skills. Data acquisition from various data sources including Salesforce, API, XML, json, parquet, flat file systems and relational data. Excellent team player able to work under More ❯

Join a small, collaborative team with big impact. Bring ideas to life using modern tech like Databricks and AWS. Flexible hybrid working and strong support from leadership. We’re working with a well-established organisation that’s on an exciting journey to bring more of their data capability in-house — and this is a rare chance to get in at … would mean improving existing pipelines, building new ones from scratch, helping shape best practices, mentoring more junior engineers, or exploring the latest tools and tech. The team are using Databricks and AWS and they’re keen for someone who’s worked across data warehouse architecture, orchestration tools like Airflow, and configuration-driven development. You’ll also work closely with analysts … experience building pipelines in Spark (PySpark preferred) Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and ETL/ELT pipelines Experience using tools like Databricks, Redshift, Snowflake, or similar Comfortable working with APIs, CLIs, and orchestration tools like Airflow Confident using Git and familiar with CI/CD processes (Azure DevOps or similar) Experience working More ❯

DOE About The Role Ecotricity, the UK’s first true green energy provider, has a strong internal team supporting and developing solutions across multiple mission critical platforms including Databricks on AWS, SQL, Power BI and other cloud centric data solutions. This technical hands-on role, of Data Engineer, will contribute to our delivery of projects, BAU, and helping Ecotricity become … the group/project. We have a training programme in place to further advance your skills. Dedicated time for training is planned in our workloads. Training and certifications in Databricks are paid for by the company. We’re proud to be an ethical company, and this naturally attracts ethical people, making for a good safe working environment and a team … should strive for best practice and technical excellence and be a person that actively looks for continual improvement opportunities. Knowledge and skills Experience as a Data Engineer or Analyst Databricks/Apache Spark SQL/Python BitBucket/GitHub. Advantageous dbt AWS Azure Devops Terraform Atlassian (Jira, Confluence) About Us What's in it for you... Healthcare plan, life assurance More ❯

a thought leader by authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You'll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You'll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You'll work closely with … designing data architectures on platforms like AWS, Azure, or GCP. Technical Skills Extensive experience with ETL/ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for analytics and reporting. Familiarity with version control, CI/CD pipelines, and containerisation tools More ❯

at a top consulting firm or similar environment is highly advantageous. Tech Expertise: Advanced knowledge in one or more of the following technologies: Google Cloud Platform, AWS, Microsoft Azure, Databricks, Python, R, Pyspark, Scala, PowerBI, Tableau. Your Role and Impact AI & Data Science Leadership: Youll guide and mentor the team while delivering impactful AI, Data Science, and Analytics projects, ensuring More ❯

Job Description What's this role about? As a Senior Data Consultant, you will be responsible for providing advisory and thought leadership on the migration to Azure/Databricks Data Cloud or implementing data solutions using Data Cloud services including integration with existing data and analytics platforms and tools. You will contribute in pre-sales and design, implement scalable data … Studio, Collibra, Precisely, OneTrust Experience in MDM/DQM/Data Governance technologies like Collibra, Atacama, Alation, Reltio Experience with the modern data, analytics and business intelligence tools, - Promethium, Databricks, Spark, Fabric, SQL, Python, and PowerBi is a must Business Analysis and requirement gathering: End-to-end experience of gathering and documenting requirements to deliver Solutions Designs that meet business More ❯

solutions on the Azure Cloud ecosystem. They design, build, and operate batch and real-time data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure … Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB. They are also proficient in Azure Event Hub and Streaming Analytics, Managed Streaming for Apache Kafka, Azure DataBricks with Spark, and other open source technologies like Apache Airflow and dbt, Spark/Python, or Spark/Scala. Preferred Education Bachelor's Degree Required Technical And Professional Expertise As More ❯

solutions on the Azure Cloud ecosystem. They design, build, and operate batch and real-time data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure … Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB. They are also proficient in Azure Event Hub and Streaming Analytics, Managed Streaming for Apache Kafka, Azure DataBricks with Spark, and other open source technologies like Apache Airflow and dbt, Spark/Python, or Spark/Scala. Preferred Education Bachelor's Degree Required Technical And Professional Expertise As More ❯

specializing in App Innovation, Data, AI, and Cloud Infrastructure solutions. Recognized as a Fabric Featured Partner by Microsoft, we build and deploy data platforms for our customers on Fabric, Databricks and Synapse analytics, offering the opportunity to shape cutting-edge data initiatives for a wide range of clients. About the role Our Data Architects play a crucial role in shaping … projects. Documentation & Knowledge Transfer: Maintain high-quality technical documentation, ensuring clarity for both engineering teams and business stakeholders. Industry Awareness: Stay informed on Microsoft Fabric and comparable platforms like Databricks and Synapse, understanding their differences and relevance to projects. Experience & Skills You should have strong soft skills in stakeholder engagement, with the ability to build technical credibility and take a More ❯

role. Senior Data Engineer: Must-Have Experience: Strong SQL skills and experience with SSIS, SSRS, SSAS, SSMS Data warehousing, ETL processes, best practice data management Azure cloud technologies (Synapse, Databricks, Data Factory, Power BI) Microsoft Fabric (not essential) Python/PySpark Proven ability to work in hybrid data environments Experience in finance or working with finance teams Ability to manage More ❯

or a PhD with 3 years experience; or equivalent experience. Proven ability to design flexible, maintainable ETL systems. Experience with data pipeline orchestration tools such as Prefect, Airflow, Argo, Databricks, or Spark. Understanding of the ML model lifecycle; prior work with scientific or ML workflows is a plus. Hands-on experience with multi-terabyte scale data processing. Familiarity with AWS More ❯

Data Architect should expect to provide technical leadership to teams working with neighboring technologies, most notably Microsoft’s Power Platform and Azure infrastructure. Experience across Microsoft Azure cloud platform = DataBricks/Spark The administration of database systems, primarily Microsoft SQL Server. Data Warehousing/Data Lakes/Master Data Management/Artificial Intelligence (AI)/Data Governance. The use of More ❯

. Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact More ❯

. Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact More ❯