1 to 25 of 390 Databricks Jobs in the South East

Data Engineer - Leading Energy Company - London (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) Company Overview: Join a dynamic team, a leading player in the energy sector, committed to innovation and sustainable solutions. Our client are seeking a talented Data Engineer to help More ❯

5+ years), ideally in senior or lead roles. Solid command of SQL and Python, with a proven track record in building solutions using Azure Databricks and Synapse Analytics. Proficiency in Microsoft Azure’s data and integration services, and experience working with APIs to enable cloud-based data flows. Strong experience More ❯

Professional Skills Required Strong expertise in data engineering, modelling, and real-time data pipelines. Proficiency in tools such as Azure Data Factory, Synapse, SQL, Databricks, Power BI, Microsoft Fabric. Programming experience with Python, SQL, or R. Deep understanding of cloud data architecture, governance, and performance optimisation. Business domain knowledge across More ❯

growth and operational excellence. What are we looking for? Hands-on experience designing scalable data platforms in the cloud using Azure D&A stack, Databricks, and Azure Open AI. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools like Informatica, and scalable data More ❯

The IETs data architecture, ensuring alignment with best practices and strategic goals. Drive the adoption of Azure data technologies such as Fabric, Data Factory, Databricks, Synapse, and Delta Lake. Develop and maintain scalable data pipelines, ensuring efficient data ingestion, transformation, and storage. Introduce and enhance self-service reporting capabilities for More ❯

and operational excellence. What are we looking for? Hands-on experience in designing greenfield, scalable data platforms in cloud using Azure D&A stack, Databricks and Azure Open AI solution. Proficiency in coding (Python, PL/SQL, Shell Script) relational and non-relational databases, ETL tooling (such as Informatica), scalable More ❯

Data Engineer - Leading Fashion Company - London (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) We’re recruiting on behalf of a leading fashion brand based in London that’s recognised for combining creativity with cutting-edge technology. They’re on the lookout for More ❯

Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow or Databricks for predictive analytics. Integration Technologies: API Management: Apigee, AWS API Gateway, or MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. Cloud Technologies: Providers More ❯

another quantitative field. Experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with Databricks and working with large amounts of data. Ready to innovate in the field of data science and analytics? Apply now and join a team that More ❯

quantitative field. Extensive experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with Databricks and working with large amounts of data. Ready to lead and innovate in the field of data science and analytics? Apply now and join a More ❯

can expect to get involved in a variety of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to work with Snowflake, Databricks, BigQuery, and Fabric. We work with near real-time/streaming data, geospatial data and using modern AI-tooling to accelerate development. About You You More ❯

full Azure data stack ETL Pipelines Data Modelling (Logical, Physical, Conceptual) Data Mapping The skills we are looking for include: Azure Data Factory, Azure Databricks, Blobs, Azure SQL, Synapse, etc. Python development for data engineering C# experience would be advantageous Solid experience with databases A curious mindset! The role is More ❯

of experience in data leadership roles Strong technical expertise in RDBMS (3rd–4th normal form), NoSQL, cloud platforms (AWS/Azure), and tools like Databricks or Microsoft Fabric Experience managing and growing high-performing data teams Clear commercial understanding of data as a product Ability to simplify complexity and communicate More ❯

templates that translate complex model outputs into concise, actionable recommendations using different tools including Power BI or Tableau. Leverage cloud data processing frameworks like Databricks, or similar for handling, processing, and analysing complex, high-volume data from a wide variety of corporate structured and unstructured sources, 3rd party providers and More ❯

Agile methodologies for technical product development and program/project management Cloud certification (Azure, AWS, or GCP) Strong hands-on technical skills (advanced SQL, Databricks, Python) Familiarity with business intelligence and visualization tools (PowerBI, Tableau, etc.) Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program More ❯

in code reviews Develop CI/CD pipelines using DevOps practices Monitor and support cloud services Essential Tech Skills: Cloud: Microsoft Azure Data Tools: Databricks, Data Factory, Dataflow, Azure SQL, Synapse Languages: SQL, Python Nice to Have: MARTech: MS Dynamics 365, SFMC, Informatica MDM, One Trust App Dev: .NET C# More ❯

a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building … maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex … relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. More ❯

to full deployment. Cloud Computing : Experience working with cloud platforms (AWS, Azure, GCP) for deploying AI solutions, including familiarity with data platforms like BigQuery, Databricks or Snowflake. Business Acumen : Ability to translate technical AI concepts into clear business outcomes, advising clients on strategies to harness AI for growth. Data Expertise More ❯

development workflows, and mentor junior team members. Software Engineer - (Not all) Skills Required: Python (FastAPI, Flask) REST API development RabbitMQ/Message queue PostgreSQL Databricks Containerisation: Docker, Kubernetes CI/CD: Azure DevOps, GitHub Actions Relational databases and data lake architecture Model and data pipeline integration (e.g. MLflow) Microsoft Azure More ❯

technologies can deliver tangible value and generate revenue for the organisation. You will leverage your deep technical expertise in modern data platforms, such as Databricks , Snowflake , and Microsoft Fabric , along with your customer-facing skills to consult, design, and implement advanced data solutions. You will also assist in crafting proposals … data & AI solutions. Conduct technical workshops/basecamp sessions, product demos, and presentations to potential clients, showcasing our expertise in modern data platforms like Databricks, Snowflake, Microsoft Fabric & other cloud native offerings Develop detailed solution architectures, high-level designs, and proof-of-concept prototypes. Contribute to our offshore based Practice … data & AI solution delivery, with a strong focus on pre-sales and customer-facing roles. Proven experience working with modern data platforms such as Databricks , Snowflake , Microsoft Fabric , Azure Synapse , AWS Redshift , or similar technologies. Expertise in cloud data architectures (Lakehouse, Hub & Spoke, Data Mesh etc.), data lakes, and big More ❯

data engineering/BI skills, with a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Fabric, Azure Databricks or Azure Synapse Proficient with SQL and Python Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Microsoft Fabric More ❯

have a strong understanding of various financial products and the trading life cycle. The role Advanced proficiency in SQL (T-SQL, PL/SQL, Databricks SQL) Knowledge of Kimball data modelling methodology Experience using scripting languages such as Python, PowerShell etc. Experience with Microsoft Azure. Strong knowledge of ETL/ More ❯

with the expectation of 2-3 days/week onsite as the standard. Must Haves: Data Engineering/PowerBI experience Strong competence with Azure Databricks, SQL, Python, PowerBI, DAX Proven experience leading the design of data models, transformation logic, and build of all Power BI dashboards - including testing, optimization & integration More ❯

leading a talented team of data engineers and architects in designing, building, and optimising their datalakehouse infrastructure. This role requires a deep understanding of Databricks and a passion for data-driven solutions. Key Responsibilities: Lead the design and implementation of a scalable datalakehouse architecture using Databricks. Collaborate with cross-functional More ❯

in a data engineering or data science capacity, ideally within a cloud-based setup. Solid grasp of SQL, ETL workflows, data modelling principles, and Databricks development. Familiarity with DevOps tooling such as Git, CI/CD pipelines, and Azure DevOps. Confident in working with programming languages like SQL and Python More ❯