1 to 25 of 74 Databricks Jobs in the City of London

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 ...

Power Platform extensibility. Qualifications & Certifications B.Tech or Equivalent degree Certifications (any subset): Azure AI Engineer/Architect , Azure OpenAI , AWS/GCP AI , Databricks ML , Kubernetes Diversity and Inclusion at Wipro We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color ...

environments. Knowledge of additional AWS services such as S3, Lambda, Athena, Kinesis, EMR, Fargate, or API Gateway. Experience with big data technologies including Spark, Databricks, Hadoop, or Dask. Familiarity with data visualisation tooling such as Plotly. Experience mentoring junior engineers or leading technical initiatives. What You’ll Receive Base salary ...

graph databases (Neo4j) • Knowledge of networking, security best practices, IAM configuration, and secrets management • Experience supporting data pipelines, ETL workflows, and cloud data platforms (Databricks, Snowflake) • Strong experience with the set up/design/governance and security of Clean Rooms and clean room integrations • Previous experience in early-stage ...

with large-scale enterprise datasets Strong analytical mindset with a focus on data quality Nice to Haves Snowflake performance tuning and cost optimisation Python Databricks End-to-end data platform architecture Enterprise BI platforms CI/CD pipelines Infrastructure-as-Code Employee Benefits £100,000 base salary + bonus Pension ...

leadership level. Experience designing and delivering scalable, production-grade data pipelines that support BI, analytics, and AI use cases. Tech wise, experience with Azure & Databricks is highly desirable. A confident communicator and stakeholder partner, able to translate technical concepts into clear business outcomes. Experience building, mentoring, and developing high-performing ...

communication skills and a collaborative mindset ⭐ Big bonus points for: ⚙️ Exposure to ML pipelines, MLOps, or production ML systems 📦 Experience with tools such as Databricks, Snowflake, or similar platforms 🔍 Familiarity with version control, testing practices, or CI/CD workflows If you’re excited about building machine learning solutions, learning ...

Generative AI & LLMs Embeddings, vector databases, RAG MLOps and model lifecycle management Experience with platforms such as: Azure ML, AWS SageMaker, Google Vertex AI Databricks, LangChain, Hugging Face Ability to develop architecture artefacts (HLDs, solution diagrams, delivery models) Exceptional writing, storytelling, and stakeholder engagement skills Experience in consultancy, systems integration ...

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 ...

Retail, among others. Headquartered in New York, our team is over 60,000 strong, with more than 50 offices spanning six continents. Role Title: Databricks Data Engineer BU/Segment: Analytics/Insurance Domain Location: London, United Kingdom Employment Type: Permanent Summary of the role: We are seeking an experienced … Databricks Data Engineer with strong insurance domain expertise to join our analytics team. This role will focus on building scalable data pipelines and robust data processing frameworks that support insurance analytics, reporting, and business decision making. The successful candidate will have deep experience working with insurance data models, policy lifecycle ...

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 ...

data impact. It would be great if you had: Experience in the energy retail industry Advanced tools knowledge; proficiency in Tableau, cloud platforms (ideally DataBricks), Git, and other analytics tools that support collaborative development and efficient data pipelines. Relevant degree or equivalent (e.g. statistics, mathematics etc). Rullion celebrates ...

robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. ...

engineering, or advanced sensing technologies. Exposure to downstream customer platforms and trading ERP systems. Experience with platforms such as Azure ML Studio, Foundry, and Databricks Mosaic. Familiarity with NLP, LLM deployment, Agentic AI frameworks (MCP, A2A, N8N), and retrieval-augmented generation (RAG) systems. Roles and Responsibilities: Lead ...

data, or secured credit risk. Experience working with mortgage application or valuation datasets. Experience with cloud analytics environments (AWS or Azure). Familiarity with Databricks or similar platforms. Experience supporting analytics-led product development or go-to-market initiatives. Qualifications Bachelor’s degree in a quantitative discipline (Mathematics, Economics, Physics ...

team will build and run so developing applications and deploying with DevSecOps. The Data team will also deploy solutions and will move to Fabric, Databricks or Snowflake. With a Data Architect now in place, the focus is to recruit a Technical Lead to lead the software engineering function. This role ...

into technical specs with non-engineering stakeholders. Beneficial Experience: Experience working with AWS-based data infrastructure. Experience with modern data platforms such as Spark, Databricks or Snowflake. FinTech, RegTech, or financial services background. Perks & Benefits: Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access Life Insurance ...

EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data ...

providing collective fund solutions to third party customers. Job Purpose The Lead Data Engineer will provide hands-on technical leadership in Azure cloud and Databricks-based solutions within our Enterprise Data Platform. The role requires strong expertise in Azure cloud services, Databricks, data engineering, and DevOps, leading a cross-functional … Leading Product Increment planning to break down solutions into Features and Epics for incremental delivery. Designing and implementing scalable data solutions on Azure and Databricks within the assigned domain. Ensuring appropriate engineering standards are applied to maintain data quality, performance and reliability. Duties/Responsibilities Work with Product Owners ...

experience across large datasets. Experience testing integrations with other Salesforce products (Sales Cloud, Service Cloud, Marketing Cloud). Exposure to big data technologies (Spark, Databricks, Snowflake, etc.). Excellent problem-solving skills and ability to work in fast-paced delivery environments. Strong communication and documentation skills. Desirable Experience Experience ...

technical stakeholders across multiple timezones, with the ability to lead and take ownership of your decisions. Tech stack will likely use Snowflake, Azure Databricks, ETL using DBT and IBM Data Manager so knowledge of these data platforms, data engineering and ETL processes will be helpful. Any previous experience ...

Pandas, Arrow, and Spark. Strong grasp of data modelling, normalization and API development for large scale analytical or trading systems. Experience with lakehouse architectures (Databricks ideally, or Delta Lake). Exposure to real time and historical market data within Fixed Income, ETFs or Equities would be excellent. Operational instincts - extreme ...

across the entire data ecosystem. 🚀Essential tech skills include proficiency in Python, Spark, and Airflow , alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery . 🚀Familiarity with data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial. 🚀Experience with one or more ...

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 ...