1 to 25 of 38 Databricks Jobs in Bristol

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

to lead and work in a team, as well as independently. Experience with Agile practices and ceremonies. Expertise in technologies such as Azure Data Lake, Data Factory, Event Hubs, Databricks, PowerBI, DevOps, GIT, SQL, Python, and PySpark. Ability to challenge respectfully and work collaboratively. Stakeholder engagement skills and understanding of business goals. Motivational leadership to help the organization achieve objectives. More ❯

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 ❯

the insurance or financial services sector. Ability to mentor and guide junior team members. Familiarity with agile methodologies and tools such as Jira. Proficiency using cloud technologies, such as Databricks, Kubernetes, and API frameworks. Azure experience is preferred, though AWS, GCP, or similar platforms are also appreciated. What We Will Offer You Recognised and rewarded for a job well done More ❯

Description Are you an experienced Claims Insights Analyst ready to take the next step in your career? Join our expanding team as a Senior Claims Insights Analyst and play a pivotal role in producing high-quality analysis and insights on More ❯

you'll be doing... Delivering high-quality data solutions by successfully managing development tasks with minimal guidance. Working with industry-leading technologies such as Snowflake, Matillion, Power BI, and Databricks , with a focus on mastering at least one toolset while expanding your expertise in others. Building trusted relationships with clients , managing expectations, and finding opportunities to add value beyond project … sharing your expertise with others. What you'll need to succeed... Technical Expertise – Strong experience in SQL, data modelling, and ETL processes . Exposure to tools like Snowflake, Matillion, Databricks, or Power BI is highly desirable. A Problem-Solving Mindset – The ability to identify multiple solutions, analyse trade-offs, and confidently propose the best approach. Client Engagement Skills – Strong communication More ❯

positive, supportive, solution-oriented team player A number of years of commercial experience as a Data Engineer or relevant role Advanced experience using Python Data warehouse knowledge such as Databricks and Snowflake Nice to haves: Cloud experience in AWS/Azure/GCP Experience using Google Analytics, Adobe Analytics etc. What's in it for you: Location: Bristol, flexible hours More ❯

pension contributions Job type: Permanent/full-time or 6-12 month contract (both options available) Essential Experience: Strong Python programming knowledge, ideally with PySpark Knowledge of the Azure Databricks platform and its functionalities Adaptable with a willingness to work flexibly as organizational needs evolve Ability to work well within a team and collaborate with internal and external stakeholders Logical More ❯

pension contributions Job type: Permanent/full-time or 6–12 month contract (both options available) Essential Experience: Strong Python programming knowledge, ideally with PySpark Knowledge of the Azure Databricks platform and its functionalities Adaptable with a willingness to work flexibly as organizational needs evolve Ability to work well within a team and collaborate with internal and external stakeholders Logical More ❯

pension contributions Job type: Permanent/full-time or 6 - 12 month contract (both options available) Essential Experience: Strong Python programming knowledge, ideally Pyspark Knowledge of the Azure Databricks platform and associated functionalities Adaptable, with a willingness to work flexibly as the needs of the organisation evolve Working well within a team, and able to work closely with internal and More ❯

/fulltime or 6 - 12 month contract (both option available) Summary of any essential experience required for the role Strong Python programming knowledge, ideally Pyspark Knowledge of the Azure Databricks platform and associated functionalities Adaptable, with a willingness to work flexibly as the needs of the organisation evolve. Working well within a team, and able to work closely with internal More ❯

to tackling new challenges A strong desire to learn and share knowledge Ideally, you'll also have Certification for at least one non-SAP data platform, ideally Snowflake or Databricks Knowledge of ETL tools like SAP Data Services, Matillion, Fivetran or SNP Glue Hands-on experience with data visualisation tools such as Power BI (including data modelling and extraction) Hands More ❯

across the UK, India, and South Africa. About Snap Analytics: We are a high-growth data analytics consultancy helping enterprises unlock their data potential through cloud solutions like Snowflake, Databricks, and Matillion. Our culture emphasizes collaboration, innovation, and continuous learning. #J-18808-Ljbffr More ❯