1 to 25 of 125 Databricks Jobs in the South East

with SQL and data manipulation across large datasets. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau, or Power BI). Exposure to modern collaborative data platforms (e.g., Databricks, Snowflake, Palantir Foundry) is a plus. Excellent problem-solving skills, eagerness to learn, and ability to work in fast-paced, evolving environments. Strong written and verbal communication skills, with the More ❯

data engineering solutions Strong problem-solving skills, with an ability to work both independently and collaboratively within multi-disciplinary teams Desirable Skills for the AWS Data Engineer: Experience with Databricks , Kafka , or Kinesis for real-time data streaming Knowledge of containerisation (Docker, ECS) and modern orchestration tools such as Airflow Familiarity with machine learning model deployment pipelines or data lakehouse More ❯

availability of data assets. Experience: 3-5 years of hands-on experience as a Data Engineer working in Azure cloud environments. Strong proficiency in Azure Data Factory, Synapse Analytics, Databricks, and Azure SQL. Solid understanding of data modeling, ETL/ELT design, and data warehousing principles. Proficiency in SQL and Python for data transformation and automation. Experience working with version More ❯

data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. • A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's • Fundamental knowledge of ML, and basic knowledge of More ❯

skills to accelerate our clients' journeys to becoming more data-driven and less data-busy. Key Responsibilities Client Delivery Design, validate, and optimise Data Vault 2.0 architectures across Snowflake, Databricks, and BigQuery environments. Provide best-practice guidance on dbt modelling, testing frameworks, and macros. Define governance and metadata standards (naming, access, lineage, compliance) suited to regulated industries like higher education More ❯

robust data platforms. Innovation Stay current with emerging Azure technologies and best practices in data architecture. Required Skills & Experience Technical Expertise Extensive experience with Azure Data Services: Data Factory, Databricks, Synapse, Data Lake, Azure SQL. Strong understanding of data modeling, data warehousing, and distributed computing. Proficiency in Python, SQL, and Spark for data engineering tasks. Financial Services Domain Proven track More ❯

Experience Educational Background: • Bachelor’s degree in computer science, Engineering, Information Technology, or a related field • Relevant certifications in data engineering or cloud platforms (e.g., AWS, Azure, Google Cloud, Databricks) are a strong plus Technical Skills: • Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL) • Familiarity with data pipeline and workflow management tools (e.g., Apache Airflow) • Experience with More ❯

. Familiarity with Snowflake cost monitoring, governance, replication , and environment management. Strong understanding of data modelling (star/snowflake schemas, SCDs, lineage). Proven Azure experience (Data Factory, Synapse, Databricks) for orchestration and integration. Proficient in SQL for complex analytical transformations and optimisations. Comfortable working in agile teams and using Azure DevOps for CI/CD workflows. Prior experience in More ❯

managed responsibly throughout its lifecycle, aligned with regulatory standards and organizational policies. Qualifications & Experience • Working knowledge of data architecture and implementation of governed data solutions using Microsoft Purview, Azure, Databricks, Python, DevOps, Unity Catalogue, Data Factory, and RDBMSs. Experience with metadata management, lineage tracking, and automation tools for governance workflows. • Experience in designing and maintaining end-to-end data architectures More ❯

Strong knowledge of software development methodologies, tools, and frameworks, particularly Agile. · Proficiency in both SQL and NOSQL database management systems (e.g. SQL Server/Oracle/MongoDB, CosmosDB, Snowflake, Databricks). · Hands-on experience with data modelling tools, data warehousing, ETL processes, and data integration techniques. · Experience with at least one cloud data platform (e.g. AWS, Azure, Google Cloud) and More ❯

Senior Databricks Engineer - Banbury Hybrid - Salary £65-75K + Benefits Bibby Financial Services have an exciting opportunity available for a reliable Senior Databricks Engineer to join our team. You will join us on a full time, permanent basisand in return, you will receive a competitive salary of £65,000 - £75,000 per annum. About the role: As our Senior … Databricks Engineer, you will operate within an Agile delivery environment, working closely with the Data Product Manager and Data Architect to ensure your team maintains a pipeline of delivery against the Backlog; providing vital insight from our wide-ranging dataset to support executive and operational decision making that will underpin sustained growth of BFS business units domestically and internationally. You … coach, support and organise to ensure we sustain a predictable pipeline of delivery, whilst ensuring all appropriate governance and best practice is adhered to. Your responsibilities as our Senior Databricks Engineer will include: Understand the business/product strategy and supporting goals with the purpose of ensuring data interpretation aligns Provide technical leadership on how to break down initiatives into More ❯

CI/CD workflows · If you have previous exposure to geospatial data, that would be advantageous but is not a requirement for the position. · Familiarity with Apache Spark or Databricks · Excellent communication and collaboration skills Benefits About Prevail Partners Prevail Partners delivers strategic advice, intelligence, specialist capabilities, and managed services to clients ranging from governments and multinational corporations to non More ❯

capacity to translate client requirements into engineered, scalable systems Preferred Skills and Experience Certifications across AWS, Azure or Google Cloud Proven experience with data and AI platforms such as Databricks, Snowflake, Fabric or Elastic Prior involvement in digital transformation or AI native product development within enterprise settings Experience with graph theory, knowledge representation or distributed systems Contributions to technical or More ❯

Skilled in team collaboration and exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme More ❯

flows and source system connectors via Azure Data Factory. SQL and Python programming skills, along with a good understanding of Machine Learning techniques Experience using data platforms such as Databricks and Snowflake Experience of scripting languages such as Javascript, R, Powershell or VBScript In this role you will: Lead a team of analysts & engineers building and deploying innovative, scalable solutions More ❯

Develop clean, reusable Python code for data engineering tasks. Research and integrate the latest cloud-based technologies. Requirements: Proven experience in data engineering with Azure tools (Synapse, Data Factory, Databricks). Experience with Microsoft Fabric. Strong Python programming skills. Knowledge of data modelling and Kimball methodology. Excellent communication and problem-solving skills. Fabric certifications are highly desirable Benefits: Competitive salary More ❯

Develop clean, reusable Python code for data engineering tasks. Research and integrate the latest cloud-based technologies. Requirements: Proven experience in data engineering with Azure tools (Synapse, Data Factory, Databricks). Experience with Microsoft Fabric. Strong Python programming skills. Knowledge of data modelling and Kimball methodology. Excellent communication and problem-solving skills. Fabric certifications are highly desirable Benefits: Competitive salary More ❯

Develop clean, reusable Python code for data engineering tasks. Research and integrate the latest cloud-based technologies. Requirements: Proven experience in data engineering with Azure tools (Synapse, Data Factory, Databricks). Experience with Microsoft Fabric. Strong Python programming skills. Knowledge of data modelling and Kimball methodology. Excellent communication and problem-solving skills. Fabric certifications are highly desirable Benefits: Competitive salary More ❯

Develop clean, reusable Python code for data engineering tasks. Research and integrate the latest cloud-based technologies. Requirements: Proven experience in data engineering with Azure tools (Synapse, Data Factory, Databricks). Experience with Microsoft Fabric. Strong Python programming skills. Knowledge of data modelling and Kimball methodology. Excellent communication and problem-solving skills. Fabric certifications are highly desirable Benefits: Competitive salary More ❯

Develop clean, reusable Python code for data engineering tasks. Research and integrate the latest cloud-based technologies. Requirements: Proven experience in data engineering with Azure tools (Synapse, Data Factory, Databricks). Experience with Microsoft Fabric. Strong Python programming skills. Knowledge of data modelling and Kimball methodology. Excellent communication and problem-solving skills. Fabric certifications are highly desirable Benefits: Competitive salary More ❯

passionate about clean design, collaboration, and the pursuit of data excellence. Role and Responsibility In this role, you'll develop and maintain robust data models and transformation pipelines using Databricks, Azure, and Power BI to turn complex datasets into reliable, insight-ready assets. You'll apply strong skills in SQL, Python, and PySpark to build efficient ELT workflows and ensure More ❯

experience with Snowflake and DBT.* Proficient in SQL and experienced in data modelling within cloud data warehouses.* Familiarity with cloud platforms such as AWS or Azure.* Experience with Python, Databricks, or related data engineering tools beneficial.* Excellent problem-solving and analytical skills, with strong attention to detail.* Strong communication and collaboration abilities, with the ability to work effectively in a More ❯

Python (production-level) and SQL; confident with modern ML/AI libraries such as scikit-learn, TensorFlow, or PyTorch Familiarity with MLOps frameworks, model deployment, and cloud-based platforms (Databricks, AWS, Azure) Strong experience with data visualisation tools and techniques; able to turn complex results into accessible insights Excellent communicator; able to explain technical concepts to non-technical audiences with More ❯

Requirements: Minimum of three years working in a similar senior role Experience in designing and implementing Azure Data solutions using services such as: Microsoft Fabric Azure Synapse Analytics Azure Databricks Azure Data Lake Storage Gen2 Azure SQL Database Azure Data Factory Azure DevOps Azure Stream Analytics Microsoft Power BI Familiar with Azure Purview An understanding of Master Data Management and More ❯

and its native tech stack in designing and building data & AI solutions -Experience in building cloud data pipelines using Azure native programming techniques such as PySpark or Scala and Databricks for sourcing, enriching, and maintaining structured and unstructured data sets for analysis and reporting (secondary skill) -Experience working in an agile environment, leveraging DevOps, and test-driven development techniques -Strong More ❯