1 to 25 of 65 Databricks Jobs in the South East

testing methodologies and development team collaboration Experience working with Power BI and DAX Strong documentation, communication, and stakeholder engagement skills Preferred Qualifications: Experience with Lakehouse architecture, Delta Lake, or Databricks Exposure to Agile/Scrum working practices Microsoft certifications (e.g., Azure Data Engineer Associate) Background in consulting or professional services Understanding of data governance and data security principles Nice to More ❯

relevant insights.* Experience working in regulated environments such as pensions, insurance, or financial services is highly advantageous. Desirable * Exposure to actuarial modelling or financial risk analysis.* Familiarity with Azure Databricks, Synapse, or distributed computing tools.* Experience applying model explainability and responsible AI techniques. Rewards & Benefits This role offers a comprehensive and flexible benefits package designed to support wellbeing and personal More ❯

hands-on experience in enterprise data engineering and Azure cloud data technologies. You must be confident working across: Azure Data Services, including: Azure Data Factory Azure Synapse Analytics Azure Databricks Microsoft Fabric (desirable) Python and PySpark for data engineering, transformation, and automation ETL/ELT pipelines across diverse structured and unstructured data sources Data lakehouse and data warehouse architecture design More ❯

Azure ML, Cognitive Services) Solid understanding of SQL, REST APIs, and cloud data integration Familiarity with Python, R, or similar scripting languages Bonus points for experience with Azure Synapse, Databricks, or Power Apps Microsoft certifications (PL-300, DP-203, AI-900) are a plus Benefits : Salary up to around £60,000 depending on experience 10% annual bonus Pension with More ❯

Azure ML, Cognitive Services) Solid understanding of SQL, REST APIs, and cloud data integration Familiarity with Python, R, or similar scripting languages Bonus points for experience with Azure Synapse, Databricks, or Power Apps Microsoft certifications (PL-300, DP-203, AI-900) are a plus Benefits : Salary up to around £60,000 depending on experience 10% annual bonus Pension with More ❯

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding More ❯

and data modelling; as well as healthcare technology and regulatory requirements (ISO13485, ISO27001) You have experience of managing data in Azure using tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics You have a good knowledge of Data Lake and Data Warehouse architectures You have experience implementing monitoring and logging for data pipelines You are collaborative, enjoy problem More ❯

Senior Databricks Data Engineer (flexible location) Bibby Financial Services have an exciting opportunity available for a reliable Senior Databricks Data Engineer to join our team. You will join us on a full time, permanent basisand in return, you will receive a competitive salary of £60,000 - £70,000 per annum. About the role: As our Senior Databricks Data Engineer, 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 Data 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 … databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques What we are looking for in our ideal Senior Databricks Data Engineer: A Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Alternatively, relevant experience in the data engineering field Databricks, including Unity Catalog Terraform More ❯

practices. Collaborate with cross-functional teams to translate business needs into technical solutions. Core Skills Cloud & Platforms : Azure, AWS, SAP Data Engineering : ELT, Data Modeling, Integration, Processing Tech Stack : Databricks (PySpark, Unity Catalog, DLT, Streaming), ADF, SQL, Python, Qlik DevOps : GitHub Actions, Azure DevOps, CI/CD pipelines Please click here to find out more about our Key Information Documents. More ❯

experience (including QGIS) FME Advanced Database and SQL skills Certifications : AWS or FME certifications are a real plus. Experience with ETL tools such as AWS Glue, Azure Data Factory, Databricks or similar is a bonus. The role comes with excellent benefits to support your well-being and career growth. KEYWORDS Principal Geospatial Data Engineer, Geospatial, GIS, QGIS, FME, AWS, On More ❯

practices and tools (Azure DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within More ❯

governance, security, and performance standards. Requirements: Recent experience as a Lead Data Solution Architect or equivalent. Skilled in streaming/event-driven architectures (Kafka, Confluent). Deep knowledge of Databricks, Unity Catalog, and Snowflake. Understanding of Data Mesh/Fabric and product-led approaches. Familiarity with cloud platforms (AWS, Azure, GCP). Leadership in Agile environments with budget and delivery More ❯

cloud-based data solutions. Key Responsibilities: Lead cross-functional teams to deliver scalable data solutions across cloud platforms Architect data lakes, lakehouses, and event-driven systems using tools like Databricks, Kafka, and Confluent Apply Data Mesh and Data Fabric principles to modern data architectures Define and implement data product strategies with a product-led mindset Ensure compliance with data governance More ❯

background in data analysis and management within the industrial or manufacturing industry. Good knowledge around any of the following modern data platforms i.e Azure, Power BI, SQL, iPaas, Fabric, Databricks etc Proficiency in data visualisation tools and software. Experience with database management and analytics platforms. Excellent problem-solving and organisational skills. A degree in a relevant field such as Data More ❯

background in data analysis and management within the industrial or manufacturing industry. Good knowledge around any of the following modern data platforms i.e Azure, Power BI, SQL, iPaas, Fabric, Databricks etc Proficiency in data visualisation tools and software. Experience with database management and analytics platforms. Excellent problem-solving and organisational skills. A degree in a relevant field such as Data More ❯

full lifecycle delivery experience. Ability to lead architectural strategy and oversee implementation. Architectural Expertise Deep knowledge of event-driven architectures (Kafka, Confluent). Experience with data lakes/lakehouses (Databricks, Unity Catalog). Familiarity with Data Mesh, Data Fabric, and product-led data strategies. Expertise in cloud platforms (AWS, Azure, GCP, Snowflake). Technical Skills Proficiency in big data tools More ❯

both technical depth and client-facing credibility . Key Responsibilities: Lead the design and delivery of enterprise-scale data platforms using cloud technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement More ❯

and hands-on experience with Spark. Experience building, maintaining, and debugging DBT pipelines. Strong proficiency in developing, monitoring, and debugging ETL jobs. Deep understanding of SQL and experience with Databricks, Snowflake, BigQuery, Azure, Hadoop, or CDP environments. Hands-on technical support experience, including escalation management and adherence to SLAs. Familiarity with CI/CD technologies and version control systems like More ❯

DATABRICKS ENGINEER 6-MONTH CONTRACT £450-£550 PER DAY (OUTSIDE IR35) This role is a great opportunity for a skilled Databricks Engineer to join a data-driven financial services firm undergoing a major transformation of their data infrastructure. You'll be a key player in modernising their data platform with Databricks and Azure, while supporting scalable data pipelines and machine … THE COMPANY This business is investing heavily in data as it digitises operations across its risk, product, and customer intelligence teams. They're building a modern Lakehouse architecture using Databricks, Delta Lake, and Azure Data Lake. You'll be part of a collaborative, forward-thinking team with a focus on best practices, automation, and end-to-end data enablement. THE … Azure stack. Your responsibilities will include: Designing and deploying ETL pipelines using PySpark and Delta Lake on Databricks. Supporting the deployment and operationalisation of ML models with MLflow and Databricks Workflows. Building out reusable data products and feature stores for data science teams. Tuning performance across clusters, jobs, and workflows. Migrating legacy systems (SSIS/SQL) to Databricks and cloud More ❯

Teams across multiple locations and time zones Strong interpersonal and communication skills with an ability to lead a team and keep them motivated. Mandatory Skills : Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow More ❯

on to mentor teams on technical delivery Background in the banking/financial services sector Strategic mindset with a delivery-focused leadership style Tech Environment: Azure Data Stack (Synapse, Databricks, Azure SQL, Power BI) SQL, Python Legacy systems primarily in SQL Server Interview Process: Initial 30-minute informal converdation 60-minute technical/competency interview with Engineering Managers Final More ❯

BI, and app development projects. Strong background in Agile and Prince2 methodologies. Experience working with both in-house and outsourced development teams. Familiarity with Microsoft technologies (Power BI, Azure, Databricks). Benefits: Competitive salary up to £95,000, with annual bonus 8% company pension contribution 25 days annual leave + holiday buy options Private medical cover & wellbeing support Flexible benefits More ❯

Octopus Deploy Git, including GitFlow & Pull Requests/Peer Reviews. ReactJs, Jest, ESLint, Sinon, Npm, Webpack Working with Geospatial data. Azure Big Data technologies, DataLake, Sql Data Warehouse, Azure Databricks Media Decoding Academic background in a scientific or technical discipline with some formal computer vision/machine learning content. More ❯

Octopus Deploy Git, including GitFlow & Pull Requests/Peer Reviews. ReactJs, Jest, ESLint, Sinon, Npm, Webpack Working with Geospatial data. Azure Big Data technologies, DataLake, Sql Data Warehouse, Azure Databricks Media Decoding Academic background in a scientific or technical discipline with some formal computer vision/machine learning content. More ❯

Azure Databricks Platform Lead Hybrid | Slough Are you a Databricks expert with deep knowledge of both data infrastructure and engineering We’re looking for a Databricks Champion to take ownership of an enterprise-scale Azure Databricks environment — driving performance, governance, connectivity, and cost optimisation across the platform. This is a client-facing, hands-on role that combines cloud engineering, data … practices across the board. Location : Hybrid with travel to Slough (a few days per week) Start : ASAP Type: Full time permenant What You’ll Be Doing: Manage & optimise Azure Databricks workspaces (VNet Injection, private endpoints, cluster config, performance tuning, cost control) Design and implement Unity Catalog for governance, access control, data lineage, and auditing Integrate Entra ID for SSO, SCIM … credential passthrough, Key Vault, and ACLs Build secure networking (VNet peering, NSGs, DNS/routing, firewalls) Orchestrate data pipelines with ADF Databricks Configure and troubleshoot ADLS Gen2 access , mounts, and credential passthrough Implement monitoring, alerting, DR, and platform health checks Define and share best practices , architecture documents, and runbooks Act as SME , collaborating across teams and representing the Databricks function More ❯