176 to 200 of 719 Remote/Hybrid Databricks Jobs

fast-paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging technologies such as: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple … leveraging AI-assisted workflows to optimise task efficiency. Strong communication and interpersonal skills. Preferred Qualifications: Certifications in Azure, AWS, or GCP. Certifications in Databricks, Snowflake or similar technologies. Experience in the leading large scale data engineering projects. Excellent understanding of data architecture involving data mesh, data lake, data warehouse ...

looking for a London-based Data Engineer (Databricks) who will work closely with clients in Operational Risk Management domain to design and implement scalable data solutions tailored to their business needs. This role demands both technical expertise and soft skills, as youll be translating complex data requirements into actionable architectures … directly with stakeholders. Requirements: 5+ years of hands-on data engineering experience, ideally within a consulting or client-facing environment Hands-on experience with Databricks Lakehouse Platform Strong SQL skills and proficiency in Python Experience designing and deploying solutions in cloud environments Ability to quickly grasp diverse business domains ...

Role: Databricks Lead Engineer Location: London (Hybrid/On-site requirement: 3 days per week in London ) Rate: Up to £575/day (Inside IR35) Contract Length: 6 months with potential extension Start Date: ASAP Role Summary We are seeking an experienced Databricks Lead Engineer to drive the design, development … optimization of enterprise-scale data platforms. The ideal candidate will have strong technical leadership capabilities, deep expertise in the Databricks Lakehouse platform, and a proven track record of delivering robust data pipelines and architecture in complex environments. Key Responsibilities Lead the design and implementation of scalable data architectures ...

onboard cyber data sources and support dashboard development to deliver trusted metrics and timely reporting. Required: data engineering and analytics expertise; Power BI and Databricks experience; strong ETL and data modelling; familiarity with cyber security data sources. #J-18808-Ljbffr ...

with cross-functional teams to turn data into insights, build end-to-end data solutions using Microsoft Fabric, Azure Data Factory, Azure Synapse, and Databricks, and develop Power BI dashboards for stakeholders. #J-18808-Ljbffr ...

with a strong operational and platform administration background who can manage, support and improve enterprise cloud data services. You'll need experience with: Microsoft Databricks Microsoft Fabric Azure Data Factory Azure Data Lake Azure SQL Power BI Administration and operational support of Azure data platforms You'll also ideally have ...

Continuous engineering practices Database engines and technologies (SQL MI, Azure SQL etc. Data pipelines and ETL processes using Azure Data Factory, Data Flow, Databricks/Spark (using Python & associated frameworks) and Azure storage (data lake, blob) You will need an Agile mindset with demonstrated experience working in fully Agile Scrum ...

Extensive experience as an Enterprise Data Architect within large, complex organisations Previous line management or leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives ...

modern MLOps practices including CI/CD, version control (Git) and infrastructure automation Experience working with cloud platforms and modern data ecosystems (Azure and Databricks experience beneficial) Strong understanding of machine learning principles and model deployment processes Excellent communication skills with the ability to explain technical concepts to non-technical ...

data science toolsets. Machine Learning and Predictive Analytics. Generative AI, LLMs, RAG, and Agentic AI frameworks. Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Databricks, or equivalent cloud platforms. Data visualisation and storytelling tools such as Power BI. MLOps and model lifecycle management. Preferred Qualifications Experience in client-facing consulting ...

Strong foundation in Python and SQL Experience building models for real commercial use cases (e.g. propensity, clustering, regression) Comfortable working with tools like PySpark, Databricks, Tableau or Power BI (nice to have, not essential, since the group uses a mix across its businesses) A track record of translating technical work ...

help the team do better and be better, again and again Write maintainable, testable code and enjoy providing code reviews Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance Be strong in Python, SQL, and PySpark ...

including API-first delivery and AI data access enablement.What You Bring • Hands-on experience designing schemas for relational databases, messaging, data lakes/lakehouses (Databricks, Snowflake, or equivalent), and API/message formats (JSON Schema, OpenAPI, Avro, Protobuf). Strong understanding of metadata and lineage management.• 5+ years of experience ...

enterprise data catalogue platforms Experience with master and reference data management tools (e.g. Ataccama, Profisee - desirable) Working knowledge of the Microsoft Azure ecosystem, including Databricks and Power BI Excellent communication, stakeholder management and influencing skills Experience delivering solution-level data architecture across complex projects and programmes Experience producing data impact ...

enterprise data catalogue platforms Experience with master and reference data management tools (e.g. Ataccama, Profisee – desirable) Working knowledge of the Microsoft Azure ecosystem, including Databricks and Power BI Excellent communication, stakeholder management and influencing skills Experience delivering solution-level data architecture across complex projects and programmes Experience producing data impact ...

enterprise data catalogue platforms Experience with master and reference data management tools (e.g. Ataccama, Profisee – desirable) Working knowledge of the Microsoft Azure ecosystem, including Databricks and Power BI Excellent communication, stakeholder management and influencing skills Experience delivering solution-level data architecture across complex projects and programmes Experience producing data impact ...

enterprise data catalogue platforms Experience with master and reference data management tools (e.g. Ataccama, Profisee – desirable) Working knowledge of the Microsoft Azure ecosystem, including Databricks and Power BI Excellent communication, stakeholder management and influencing skills Experience delivering solution-level data architecture across complex projects and programmes Experience producing data impact ...

data technology roadmaps across the organizationTeam Leadership & Organizational DevelopmentBuild, mentor, and direct global data engineering teams to deliver excellenceChampion capability development in cloud engineering, Databricks, CI/CD, SQL, and PythonPromote a culture of innovation, operational rigor, and customer-focused deliveryWhat We're Looking For:Experience & Track RecordStrong advanced level ...

translate real-world requirements into working softwarePreferred Skills/Qualifications: Experience with data backends such as Postgres, Redis, Elasticsearch, or S3Hands-on experience with Databricks or modern data Lakehouse toolingExperience building or operating monitoring and alerting systems such as Grafana, Prometheus, or NagiosInfrastructure as Code experience with tools such ...

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Strong proficiency in Python, R, SQL, or similar tools. Experience with Databricks, Azure, or other cloud/data platforms is a plus. Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques. Experience translating data ...

from utilities, infrastructure, environmental services, local authorities, councils, engineering consultancies and other asset-intensive industries. Experience automating GIS workflows using ArcGIS Model Builder, FME, Databricks or similar tools would be helpful, but is not essential. Knowledge of Python, SQL, R or other programming languages used for analytics and modelling would ...

Strongly Preferred Skills Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen ...

public sector or other complex data environments involving data sharing, multiple stakeholders and evidence-based decision making. Experience with Microsoft Fabric, Azure Data Factory, Databricks, PowerBI semantic models or equivalent technologies. Professional qualification or certification in Data Architecture, Enterprise Architecture, Data management, or Data Engineering (e.g. TOGAF, DAMA CDMP ...

related technical discipline. Preferred Qualifications: To support our strategic roadmap, we would value hands‐on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks, LLM integration ...

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field.· Strong proficiency in Python, R, SQL, or similar tools.· Experience with Databricks, Azure, or other cloud/data platforms is a plus.· Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques.· Experience translating data ...