26 to 50 of 125 Databricks Jobs in the South East

new data & analytics platform capabilities Experience with developing data features and associated transformation procedures on a modern data platform. Examples include (but not limited to) Azure Fabric, AWS Lakeformation, Databricks or Snowflake. Experience automating operations tasks with one or more scripting languages. Due to the nature of the project and the short turnaround required, the successful candidate must hold valid More ❯

The Data Engineer will demonstrated experience as a Data Engineer, with a strong track record of success. Mastery of data management and processing tools, including Power BI, Data Factory, Databricks, SQL Server, and Oracle. Proficient in SQL and experienced in database administration. Familiarity with cloud platforms such as Azure and AWS. Excellent problem-solving and analytical skills, with strong attention More ❯

Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines, GitHub, and automated testing. Practical experience monitoring live services using tools such as Grafana, Prometheus More ❯

Kimball Methodology or other similar dimensional modelling standards, is essential to the role. Technical experience building and deploying models and reports utilizing the following tools: PySpark Microsoft Fabric or Databricks Power BI Git CI/CD pipelines (Azure DevOps experience preferred) An understanding of the structure and purpose of the Financial Advice and Wealth Management markets within the UK Financial More ❯

and able to work with different tools and technologies, depending on the client and project needs but will ideally possess strength in some or all of: MS Fabric stack Databricks Snowflake Azure/AWS SQL Tableau/Power BI A general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or More ❯

Databricks Engineer - £400PD - Remote About the Role We are seeking a highly skilled Azure Data Engineer with deep, hands-on Databricks experience to join our growing data engineering team. In this role, you will design, build, and optimise scalable data pipelines and lakehouse architectures on Azure, enabling advanced analytics and data-driven decision making across the business. Key Responsibilities Design … develop, and maintain ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. Build and optimise data lakehouse architectures on Azure Data Lake Storage ( ADLS ) . Develop high-performance data solutions using Azure Synapse, Azure Data Factory, and Databricksworkflows Implement best practices for data governance, security, and quality across all pipelines. Collaborate with data scientists, analysts, and cross-functional … solutions using tools like Terraform, GitHub Actions, or Azure DevOps Required Skills & Experience 3+ years' experience as a Data Engineer working in Azure environments. Strong hands-on experience with Databricks (PySpark, Delta Lake, cluster optimisation, job scheduling). Solid knowledge of Azure cloud services including: Azure Data Lake Storage Azure Data Factory Azure Synapse/SQL Pools Azure Key Vault More ❯

practices and internal standards. Skills & Experience Strong leadership and relationship-building skills. Experience guiding or managing technical teams. Deep hands-on experience in Data Engineering using Microsoft Fabric, Azure Databricks, Synapse, Data Factory, and/or SQL Server. Expertise in SQL and Python for ETL/ELT development. Knowledge of data lakes, medallion lakehouse architecture, and large-scale dataset management. More ❯

inclusive, collaborative environment. Demonstrated leadership experience, acting as a role model for company values. Technical Expertise Strong background in Data Engineering or Data Warehouse development using Microsoft Fabric, Azure Databricks, Synapse, Data Factory, and/or SQL Server. Expertise in ETL/ELT design with SQL and Python. Solid understanding of data lakes, medallion lakehouse architecture, and large-scale dataset More ❯

teams and driving technology innovation. Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g., Snowflake, Databricks), cloud-based technologies, data mesh architectures, and big data ecosystems. Experience with A/B experimentation, data- and metric-driven product development, cloud-native deployment in large-scale distributed environments More ❯

tests, documentation, version control. Understanding of data warehousing concepts (star schemas, snowflake, slowly changing dimensions, partitioning, clustering). Experience working in a modern data stack (e.g. BigQuery, Snowflake, Redshift, Databricks, etc.) Comfortable working downstream (with BI/analytics users) and upstream (pipelines, ingestion) contexts. Familiarity with BI tools (we use Thoughtspot and Power BI). Proficient in Python. Solid software More ❯

Data Engineer - London - Databricks - Azure - 75k + bonus + benefits Tech Stack: Azure | Databricks | Power BI | Python Are you ready to shape the future of data? We're looking for a Data Engineer to join a team that thrives on innovation and cutting-edge technology. If you love solving complex data challenges and building scalable solutions, this is your chance … to make an impact. What You'll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines DevOps: CI/CD Bonus: Python What you'll do Design and implement scalable Azure-based data solutions Build and optimize data pipelines for integration and transformation … dashboards for global stakeholders Ensure data quality, governance, and security Collaborate in an Agile environment with cross-functional teams What We're Looking For Hands-on experience with Azure & Databricks Strong data engineering and modelling skills Proficiency in Power BI, T-SQL, DAX Ability to troubleshoot complex data issues and deliver solutions Benefits Competitive salary + bonus Pension, private medical More ❯

For Proven leadership skills and ability to foster a collaborative team culture. Strong hands-on experience in Data Engineering or Data Warehouse development using Microsoft/Azure technologies (Fabric, Databricks, Synapse, Data Factory, SQL Server). Expertise in ETL/ELT processes, SQL, and Python. Knowledge of data lake implementation and medallion lakehouse architecture. Solid understanding of BI, data warehousing More ❯

routines, and monitoring processes to maintain data integrity and reliability. * Optimise data workflows for performance, cost-efficiency, and maintainability using tools such as Azure Data Factory, AWS Data Pipeline, Databricks, or Apache Spark . * Integrate and prepare data for Tableau dashboards and reports , ensuring optimal performance and alignment with business needs. * Collaborate with visualisation teams to develop, maintain, and enhance More ❯

frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks, or other AI services). Ability to handle, process, and analyse large, complex datasets. Strong understanding of data ethics, governance, and responsible AI principles. Must have SC Clearance and More ❯

ERPs and CRMs. You'll collaborate closely with client stakeholders to translate ambiguous requirements into clean, maintainable solutions that drive real impact. Familiarity with tools such as Airflow, DBT, Databricks, dashboarding frameworks, and Typescript is a strong plus as you help deliver end-to-end production-ready systems. Interview Process Teams conversation (introductory chat) Technical take home exercise Presentation (In More ❯

data modelling, and dashboard design.* Proficient in SQL and experienced in working with relational and cloud-based data sources.* Familiarity with Azure tooling such as Data Factory, Synapse, or Databricks beneficial.* Strong analytical mindset with exceptional attention to detail.* Strong communication and stakeholder engagement skills, with the ability to work effectively within cross-functional teams. Company * Large, well-known fashion More ❯

details... Experience required: Development FIRST mentality. You must have been a Developer 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. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management: Demonstrated expertise in maintaining and prioritizing product backlogs, writing More ❯

DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details... Experience required: Technical proficiency: Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management: Demonstrated expertise in maintaining and prioritizing product backlogs, writing More ❯

products. Deep understanding of cloud computing, infrastructure-as-code, DevOps tooling , and data/AI platforms. Hands-on experience with one or more of: AWS, Azure, GCP, Kubernetes, Terraform, Databricks, or Vertex AI . Proven ability to collaborate with engineering and research teams to align platform capabilities with end-user needs. Skilled in stakeholder management and influencing at C-suite More ❯

ability to explain commercial impact. Understanding of ML Ops vs DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process Video call - high-level overview and initial discussion In-person technical presentation - based on a More ❯

SQL fundamentals The ability to get to grips with new technologies quickly What's Nice to Have** Experience in dashboarding tools, Typescript and API development Familiarity with Airflow, DBT, Databricks Experience working with Enterprise Resource Planning (e.g. Oracle, SAP) and CRM systems Benefits Become part of a category-defining startup which transforms transforming how industrial companies operate and compete Close More ❯

Domo, Power BI, Looker, or equivalent Strong understanding of UX/UI principles and visual storytelling through data Working knowledge of creating data connections - e.g. SQL and relational databases, DataBricks, JSON files, API services, Data Lakes Meticulous attention to detail with a user-first mindset Excellent communication and collaboration skills across technical and non-technical teams Comfortable working in agile More ❯

similar technical teams. Solid understanding of data modelling, BI architecture, and reporting best practice. Clear communication skills and the ability to present insights effectively. Nice to have: experience with Databricks or Airflow . If you are interested in this role, please apply. To follow up please email or message me on LinkedIn. More ❯

backend components of a next-gen trading platform. Work with Java and/or Kotlin to deliver robust solutions. Deploy containerised applications using Kubernetes and Docker. Leverage MongoDB and Databricks for data processing and analytics. Integrate with relational databases and support legacy data migration. Collaborate with stakeholders and contribute to technical decision-making. Ensure code quality through testing, debugging, and More ❯

parameter-driven applications Exposure to CI/CD pipelines (ideally Azure DevOps) and cloud security best practices Strong collaboration and communication skills Nice to have: Immediate availability Experience with Databricks or Synapse Knowledge of Data governance in Azure ecosystems Infrastructure as Code (IaC) tooling If you're interested in this role, click 'apply now' to forward an up-to-date More ❯