25 of 25 Permanent Databricks Jobs in West London

with teams across borders. A passion for building high-performing teams and fostering a culture of innovation and continuous learning. Desirable Criteria Experience with Databricks for large-scale data processing. Experience with advanced data visualisation tools (e.g. Tableau, Power BI) with a focus on insightful storytelling. Knowledge of Microsoft ...

e.g., SQL, Python, Spark, cloud platforms), with a commitment to code quality and delivery excellence Preferred qualifications, capabilities, and skills Hands-on experience with Databricks for scalable data engineering, analytics, and collaborative development, as well as proficiency in managing large datasets using Apache Iceberg for efficient, reliable table management ...

Data Engineering, Analytics Engineering, Solution Engineering, or related disciplines within enterprise environments 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract … requirements into technical solutions Education Bachelor's degree or equivalent qualification in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field Databricks Data Engineer Associate certification or higher preferred Databricks Generative AI Engineer Associate certification preferred Responsibilities Design, build, and support scalable data, analytics, and artificial intelligence ...

helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Why else you'll love it here ...

Analytics Cloud, or SAP BTP certifications. Experience in Life Sciences, Pharmaceutical, Biotechnology, or highly regulated industries. Experience with Microsoft Fabric, Azure Data Platform, Snowflake, Databricks, or other modern cloud data ecosystems. Strong knowledge of AI-driven analytics, data products, and enterprise information management frameworks. Equal Employment Opportunity ...

Datasphere, SAP Analytics Cloud, or SAP BTP certifications.Experience in Life Sciences, Pharmaceutical, Biotechnology, or highly regulated industries.Experience with Microsoft Fabric, Azure Data Platform, Snowflake, Databricks, or other modern cloud data ecosystems.Strong knowledge of AI-driven analytics, data products, and enterprise information management frameworks.Equal Employment Opportunity (EEO)It is the policy ...

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 ...

work effectively in a collaborative, cross-functional team. Experience with data engineering concepts such as ETL/ELT pipelines or data platforms like Databricks and Azure Data Factory would be an advantage, as would familiarity with event-driven architectures or message queues, experience with scientific, geospatial or time-series data ...

work effectively in a collaborative, cross-functional team. Experience with data engineering concepts such as ETL/ELT pipelines or data platforms like Databricks and Azure Data Factory would be an advantage, as would familiarity with event-driven architectures or message queues, experience with scientific, geospatial or time-series data ...

deployment) Proficient software development experience in one of J ava, Scala, or Python Software development experience withdata-processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools Expert in SQL or SQL extensions for analytical use case Expert understanding of distributed data stores and data processing frameworks ...

years post related and 2 years function related experience.Demonstrable experience of delivering data integration projects using Al and or Machine Learning Tools e.g. Databricks, Watson, Microsoft Cognitive Toolkit, TensorFlow. Demonstrable experience of using mathematical and statistical models to solve business problems.Demonstrable experience of applying data science, analytics and data integration ...

professional qualification or professional accreditation with 5 years post related experience.Demonstrable experience of delivering data integration using AI and or Machine Learning Tools e.g. Databricks, Watson, Microsoft Cognitive Toolkit, TensorFlow. Demonstrable experience of designing mathematical and statistical models to resolve business challenges.Demonstrable experience applying data science, analytics and data integration ...

cloud, integration or security. Good understanding of data architecture, including data modelling, integration, governance, visualisation and migration. Exposure to modern data platforms such as Databricks, Snowflake or equivalent. Strong communication skills, with the ability to present technical ideas to both technical and non-technical audiences. Experience working at the intersection ...

design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment ...

platforms, and advanced analytics to enhance decision-making and client outcomes. We partner with leading AI and technology providers including Anthropic, Microsoft, AWS, and Databricks to accelerate innovation and expand platform capabilities. By connecting proprietary data, AI infrastructure, and commercial strategy, the team drives transformation across Moody's, delivering solutions ...

professional qualification or professional accreditation with 4 years post related experience.Demonstrable experience of delivering data integration using AI and or Machine Learning Tools e.g. Databricks, Watson, Microsoft Cognitive Toolkit, TensorFlow. Demonstrable experience of designing mathematical and statistical models to resolve business challenges.Demonstrable experience applying data science, analytics and data integration ...

Financial Services or another regulated industry. Strong understanding of data architecture, including data modelling, integration, governance, visualisation and migration. Experience with platforms such as Databricks, Snowflake or equivalent. Experience with an industry platform such as Guidewire, Sapiens, Duck Creek, FNZ, SS&C, Pershing, Salesforce or Microsoft Dynamics would be advantageous. ...

concepts to non-technical audiences. An open, curious and learning-oriented approach, with a commitment to doing great work. Nice to have: Experience with Databricks or similar platforms. Experience with HTML, JavaScript or related technologies. Exposure to supply chain, sustainability or risk-focused analytics environments. Company Benefits Hybrid working (minimum ...

leaders, cross-functional partners, and non-technical stakeholders Working knowledge of cloud-based data and machine learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML products Deep expertise in artificial intelligence, with a track record ...

mentoring, coaching and growing technical talent. Sound judgement, curiosity and a willingness to challenge assumptions when better solutions exist. Nice to have: Experience with Databricks or similar analytics platforms. Experience with HTML, JavaScript or related technologies. Previous experience in a scaling technology, analytics or science-led business. Experience leading teams ...

Mixpanel) are well-modelled, documented, and trusted Contribute to the design and governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases Identify and close gaps in marketing data coverage; define requirements for new integrations … incrementality experiments or A/B tests in a marketing context Desirable Experience with dbt (Cloud or Core) for transformation layer development Familiarity with Databricks or similar modern data lakehouse platforms Experience with Power BI (or similar data visualisation tool) Experience in a regulated financial services or fintech environment Exposure ...

description: Develop and Manage the SAP Data & Analytics portfolio which includes Atos differentiated offerings for SAP Business Data Cloud, DataSphere, SAP Analytics Cloud, Databricks, Snowflake as well as offerings for Data Management etc. Key Responsibilities: Actively promote the offerings into the GEOs. Run regular sales enablement workshops. Assist with ...

Salary: £? - per year Requirements Strong commercial Databricks experience Proven data ingestion experience Experience with Azure Data Factory Experience with Databricks Lakeflow Strong SQL and API integration experience Experience with Databricks Medallion Architecture Strong Python skills Experience with dbt Experience with incremental and batch data ingestion Immediate availability or ability ...

OpenTalent in the United Kingdom is seeking a data engineer with Databricks expertise to design and maintain robust data ingestion pipelines. You will work with Azure Data Factory, Databricks Lakeflow, SQL, Python, and dbt to deliver reliable, scalable data solutions. Immediate availability or a 1–2 week start is preferred ...

role is accountable for establishing greenfield data flows, standards, and operating models, enabling faster, better decision‐making through accurate data, integrated views (GA4, Salesforce, Databricks, COGNOS), and scalable insight products (dashboards, attribution, MMM). Act as the primary point of contact for all digital tracking and marketing data issues, ensuring … marketing KPI dictionary and data model; steward the single source of truth. Define data pipelines between martech platforms and enterprise solutions (Salesforce, COGNOS, Databricks). Set QA/alerting SLAs, prioritise analytics backlog. Advise on experimentation, attribution and MMM, recommend budget reallocations based on evidence.Key Responsibilities:Design and build ...