1 to 25 of 132 Databricks Jobs in the South East

Title: Databricks Architect Location: London, UK Work Mode: Onsite Experience: 10–15 Years (minimum 5+ years in Databricks) Employment Type: Full-time About the Role We are seeking a highly experienced Databricks Architect to lead the design, development, and optimization of scalable data platforms and advanced analytics solutions. This role … requires a deep understanding of Databricks Lakehouse architecture, big data engineering, cloud ecosystems, and enterprise data strategy. The ideal candidate will partner with business and technology leaders to deliver high-performance data systems that support analytics, AI/ML, and real-time insights. Key Responsibilities Architecture & Solution Design Architect ...

complex queries, data modeling, and transformation logic Strong experience with data pipelines and orchestration tools Hands-on experience with big data ecosystems (e.g., Snowflake, Databricks, Spark, AWS/GCP/Azure data services) Advanced skills with Tableau, Power BI, or Looker, including data source optimization and dashboard automation Proficiency ...

Azure). Strong experience with creation of data ingestion pipeline and ET process. Strong knowledge of big data tool such as Spark, Databricks and Python. Strong understanding of common machine learning techniques and frameworks (e.g. mlflow). Strong knowledge of Natural language processing (NPL) concepts. Strong knowledge of scrum practices ...

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 Data acquisition from various data sources including Salesforce, API, XML, JSON, Parquet, flat file systems and relational data. Excellent team player ...

understanding of statistics and practical machine learning concepts (classification, regression, clustering). Knowledge of big data platforms and cloud-based AI analytics environments (e.g., Databricks, Snowflake, Azure ML, or AWS SageMaker). Ability to present complex issues as simple, compelling, and data-driven narratives, enhanced by AI-supported visualization ...

based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency ...

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 … 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 ...

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 ...

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 ...

data engineering roles (mid–senior 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 for data ...

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 ...

reliability. Optimise data workflows for performance, cost efficiency, and maintainability using modern data-engineering tools and platforms (e.g., Azure Data Factory, AWS Data Pipeline, Databricks, Apache Spark). Support the integration of data into visualisation platforms and analytical environments (e.g., Power BI, ServiceNow). Ensure adherence to data governance, security ...

increasing exposure to technical leadership, client strategy, and people management. Access to 20 dedicated development days per year. Funded certifications in technologies like Snowflake, Databricks, AWS, and Azure. Hands-on leadership development, exposure to strategic projects, and collaboration with senior consultants. Role Details Contract Type: Permanent Salary ...