1 to 25 of 82 Databricks Jobs in the South East

automation tasks. Proven ability to design, build, and maintain scalable data pipelines for batch and streaming data using modern frameworks. Experience working with Databricks for big data processing, Spark-based transformations, and collaborative analytics workflows. Familiarity with Azure Data Factory (ADF) for data orchestration and integration across cloud environments. Skilled ...

project lifecycle, from presales through to operational handover. What Youll Be Doing Designing and delivering cloud-based data platforms using Azure services such as Databricks, Synapse Analytics, Microsoft Fabric, Azure SQL Database, Data Lake/Blob Storage, Cosmos DB, Azure Data Factory and Power BI Producing conceptual, logical and physical ...

Experience working in Agile/Scrum environments and creating technical specifications Excellent stakeholder management and communication skills Desirable: Experience with Azure, Azure Data Factory, Databricks Exposure to regulatory reporting frameworks and structured data governance Familiarity with JIRA, Confluence, Visio, and SQL This is a great opportunity to join a forward ...

Looking For Proven experience as a senior developer with strong backend engineering expertise Deep knowledge of Python, SQL, and cloud-based AI frameworks (e.g., Databricks, Azure AI Services) Hands-on experience with Azure development-Azure DevOps, Git, CI/CD, Entra ID RBAC, and Azure Services Solid understanding of software ...

various partners to improve the culture around data Great interpersonal skills and collaborative mindset Hands-on experience with modern cloud data warehouses such as Databricks/Snowflake, ideally on AWS This role will be hands-on and you will be responsible for implementing process and reporting around governance, as such ...

issues Contribute to best practices and mentor junior team members Skills & Experience Strong experience with Microsoft Azure data stack Hands-on experience with Fabric, Databricks or Azure Data Factory Strong programming skills in Python, Spark and SQL Experience working with relational databases Strong understanding of data modelling Experience building ...

Extract, Load, Transform) Data Modeling Strong Technical Skills Required Data Integration & Ingestion Data Manipulation & Processing GitHub, GitHub Actions, Azure DevOps Azure Data Factory Databricks SQL Database Azure Synapse Stream Analytics AWS Glue Apache Airflow AWS Kinesis Amazon Redshift SonarQube PyTest Optional/Nice to Have Experience managing projects or running ...

enabling colleagues. Skills and Experience The successful AI Engineer will have the following skills and experience: Strong Python and SQL experience, ideally with Databricks Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs) Comfortable with data engineering basics and MLOps practices Experience working with cloud ...

Engineer, ideally with exposure to People Analytics or similar domains. Deep expertise with SQL and modern data warehousing technologies (e.g., Snowflake, BigQuery, Redshift, Databricks). Proven experience building production-ready pipelines using tools such as dbt, Airflow, Dagster, Prefect, or similar. Experience integrating data from HRIS and talent systems (e.g. ...

real-world experience in DataOps and cloud-based data platforms. You’ll be comfortable working end-to-end across Azure based technologies such as Databricks, Data Factory, Data Lake and Azure SQL, and confident using Python, SQL, Git, and automation tooling to improve reliability and scalability. Experience with containerisation, Kubernetes ...

comfortable writing, reviewing, and optimising complex queries and DDL. Practical experience with at least one major cloud data platform (Azure Synapse/Fabric, Snowflake, Databricks, BigQuery, AWS Redshift) including cost and performance tuning. Desirable Experience Experience in energy trading, commodities, or financial services data environments (or Big Tech Familiarity with ...

with cloud platforms such as Azure, AWS, or GCP Nice to Have* Experience in customer analytics, personalisation, recommendation systems, or marketing optimisation* Familiarity with Databricks or modern data platform tooling* Experience building conversational AI or internal AI assistants* Exposure to experimentation frameworks such as A/B testing* Experience working ...

data pipelines across cloud and on-premise source systems. Delivering reliable data ingestion, transformation, and delivery processes using technologies such as Azure Data Factory, Databricks, SSIS, and SQL . Reducing manual interventions through automation and standardisation , including data preparation, feature engineering, and training-data pipelines. Preparing data models and datasets … Python or R for data processing or analytics. Hands-on experience with data integration and ingestion tools such as Azure Data Factory and Databricks . Proven experience in data modelling , data warehousing, and relational database platforms (e.g. MS SQL Server). Experience designing cloud-native and/or on-prem ...

Ideally consultancy experience with confidence in client-facing work Knowledge of data architecture and data modelling principles Exposure to Power BI (experience with Databricks or Python is a bonus) Interested? If these roles sound like a good match, click Apply Now. I will get in touch to talk through both ...

understanding of machine learning fundamentals and data workflows Strong communication skills and a collaborative mindset Big bonus points for: Experience with Snowflake Experience with Databricks Exposure to ML pipelines, MLOps, or production ML systems If you're excited about building AI systems, learning fast, and growing your career ...

insights. Solid working knowledge of data integration and modelling, including writing SQL, working with relational databases, and connecting to data sources such as Databricks, data lakes, JSON files, and API-driven services. Experience working confidently across multiple, complex datasets, understanding data lineage, definitions, and limitations, and ensuring outputs are accurate ...

maintains production-grade data pipelines for multiple internal teams. Develops and optimises central data models supporting analytics, ML, and operational workloads. Works with Databricks, AWS, dbt, Airflow, and Looker as part of a modern data stack. Leads complex technical initiatives and improves efficiency through CI/CD, observability, and tooling. ...

team Exposure to sectors such as defence, public sector and consumer/retail Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential) A mix of technical, product and operational experience - comfortable talking ...

must have been working within Data Engineering before moving into Product Ownership Technical proficiency: Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance Development Framework experience within Microsoft Stack Technologies Experience with implementing and optimising scalable cloud infrastructure is highly ...

with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

Strong expertise across AWS, Azure, and GCP data services. Deep knowledge of data modelling (conceptual, logical, physical) and domain-driven design. Experience with Snowflake, Databricks, BigQuery, Redshift, Synapse or similar platforms. Strong understanding of data governance, security, GDPR, and regulatory frameworks. Certifications – TOGAF/SAFe/Agile Why Join: Fully ...

working with data pipelines or distributed systems Experience in data, analytics engineering, platform engineering or technical consultancy Experience with modern data tooling such as Databricks, Snowflake, DBT, and Airflow. Why now? The company is scaling rapidly across industries. Join now and you'll: Shape how the platform evolves Learn directly ...

implement Azure-first cloud infrastructure (networking, identity, storage, Kubernetes). Support data lakes and warehouses (e.g., Snowflake). Enable data/ML platforms like Databricks, Azure ML, Synapse, MLflow, Airflow. Drive automation with Terraform, Azure DevOps, CI/CD pipelines. Embed security and compliance standards (GDPR, ISO 27001). What ...

product analytics within ecommerce, digital, platform, or subscription environments.* Proactive, curious approach with strong communication skills.* Nice to have: familiarity with Python, dbt, Databricks, or event tracking tools. How to Apply If you are looking to make a meaningful impact in a high-growth digital environment, please apply with your ...