1 to 25 of 190 Databricks Jobs in London

Data Architect - Databricks (Hybrid, UK) Locations: London, Manchester, or Edinburgh Hybrid: 2-3 days per week on-site Salary: Competitive (Manager & Senior Manager grades available) About the Role We are seeking an experienced Data Architect with deep expertise in Databricks to help our clients design, build, and scale modern data … scalable solutions. This is a hands-on architecture role suited to someone who has spent the last 2-3 years working directly with Databricks at an architectural level and is ready to progress towards programmes such as the Databricks DPP. Key Responsibilities * Architect and implement Databricks Lakehouse solutions across ingestion ...

Databricks Data Architect - Hybrid - Permanent Job Summary We are looking for a Databricks Data Architect with Databricks certifications to design and implement scalable data platforms using the Databricks Lakehouse architecture. The role involves building modern data pipelines, optimizing data platforms, and enabling analytics and machine learning capabilities across the organization. … Responsibilities Design and implement data architectures on the Databricks Lakehouse Platform Build and optimize ETL/ELT pipelines using Apache Spark and Databricks Implement Delta Lake and medallion architecture (Bronze, Silver, Gold) Ensure data governance, security, and performance optimization Integrate Databricks with cloud platforms and enterprise data sources Collaborate with ...

Strong experience with Python and/or SQL in a production environment. Hands-on experience with modern data engineering frameworks such as: Apache Spark, Databricks Airflow/Prefect/Dagster Kafka/EventHub/Kinesis Experience building data solutions on at least one major cloud platform (AWS, Azure ...

Milvus) to power enterprise knowledge intelligence platforms. Data Platform & Engineering Excellence Lead the evolution of the enterprise data landscape using modern platforms such as Databricks, Snowflake, Azure Synapse, and BigQuery. Oversee data engineering with Apache Airflow, dbt, and Prefect, ensuring performance, governance, and alignment with enterprise metadata standards (Collibra, Alation ...

capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Opportunity We recognise “data” is broad, that’s why we’re keen ...

automation tasks. Proven ability to design, build, and maintain scalable data pipelines for batch and streaming data using modern frameworks. Experience working with Databricks for big data processing, Spark-based transformations, and collaborative analytics workflows. Familiarity with Azure Data Factory (ADF) for data orchestration and integration across cloud environments. Skilled ...

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 ...

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 ...

Azure Data Engineer should have: Proven experience in data engineering within the financial services industry. Strong expertise in Azure data technologies, including Data Factory, Databricks, and Synapse Analytics. Proficiency in SQL and other data query languages. Knowledge of data modelling, ETL processes, and data warehousing concepts. Experience in working with ...

Collaborate with stakeholders and technical teams to translate business needs into data solutions Azure Data Engineer requirements: Hands-on experience with Azure Data Factory, Databricks, and SQL-based databases Strong understanding of data engineering principles, including ELT and data modelling Experience working with CI/CD pipelines, automation, and testing ...

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 ...

Strong understanding of data architecture methodologies, governance, and security best practices Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic ...

with architects and data engineers on enterprise AI platforms Technology • Python • SQL • Spark/PySpark • TensorFlow, PyTorch or similar frameworks • AWS, Azure or GCP • Databricks or Snowflake • Exposure to GenAI or LLMs Background We’re interested in engineers with experience in: • AI or machine learning engineering • Data engineering with ...

transformation programmes and technical strategy. Technology environment Typical platforms and technologies include: Cloud platforms such as **AWS, Azure or Google Cloud** Data platforms including **Databricks, Snowflake or BigQuery** Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience ...

would be beneficial but is by no means essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowflake etc. Key Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components ...

data structures, data quality challenges, and how to design reliable transformation logic ·Experience working with modern data platforms such as Azure, GCP, AWS, Databricks, Snowflake, or similar ·Confidence working with imperfect data and making it fit for consumption downstream ·Experience supporting or mentoring other engineers through code reviews, pairing ...

Banking data domains (e.g., real-time payments, ACH, SWIFT, clearing and settlement). Hands-on expertise with modern data platforms and lakehouse architectures (e.g., Databricks, Snowflake) and cloud-native services. Strong experience with streaming and event-driven data processing (e.g., Kafka) and ETL/ELT patterns. Advanced proficiency in Python ...

Data Architect - Databricks £120,000-£125,000 base + benefits London (Hybrid: 2-3 days per week onsite) We're looking for an experienced Data Architect who can shape and deliver large-scale analytics platforms using Databricks and modern Lakehouse principles. This role is ideal for someone who enjoys working … early stages of their data transformation journeys. What You'll Bring Extensive experience designing and delivering end-to-end data platforms using Databricks , with a strong focus on Lakehouse Architecture , Delta Lake, and scalable data engineering patterns. A solid background in data analytics, consulting, or a similar technical discipline. Strong ...

ability to work with engineers, analysts and non‐technical stakeholders. Nice to have Experience with job schedulers or orchestration tools (e.g. Airflow, Databricks Jobs, similar). Exposure to cloud data platforms (AWS, GCP or Azure). Experience in a data support, application support or production operations‐style role. ...

issues Contribute to best practices and mentor junior team members Skills & Experience Strong experience with Microsoft Azure data stack Hands-on experience with Fabric, Databricks or Azure Data Factory Strong programming skills in Python, Spark and SQL Experience working with relational databases Strong understanding of data modelling Experience building ...

Data Architect - Databricks - Hybrid (London) - up to £125,000 I am working with a high-growth consultancy at the forefront of modern data engineering and AI. This is a place where architects shape real data strategy, influence enterprise-level decision-making, and build world-class Databricks lakehouse platforms for some … scale, and working directly with clients to bring modern data platforms to life, you will thrive here. You Will Work With Architecting and implementing Databricks Lakehouse solutions across ingestion, processing, storage, governance and analytics Designing scalable, modern data platforms for structured + unstructured data Translating business needs into robust technical ...

Extract, Load, Transform) Data Modeling Strong Technical Skills Required Data Integration & Ingestion Data Manipulation & Processing GitHub, GitHub Actions, Azure DevOps Azure Data Factory Databricks SQL Database Azure Synapse Stream Analytics AWS Glue Apache Airflow AWS Kinesis Amazon Redshift SonarQube PyTest Optional/Nice to Have Experience managing projects or running ...

Computer Science or STEM subject Comfortable working 4 days per week onsite in Vauxhall Desirable Microsoft Fabric, Azure Synapse, Azure Data Factory, Snowflake, Databricks Python or any other relevant language Experience with tools such as Power BI, Qlik or Tableau The role offers a package of £64k+, plus a bonus ...

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 ...