51 to 75 of 177 Snowflake Jobs in London

insight. This is a highly visible role where your solutions will have a lasting impact on strategy and performance. What You'll Bring Strong programming and database expertise (SQL, Snowflake, Spark, or similar). Experience in financial products (bank loans, leveraged loans, Fixed Income, CLOs, derivatives, ABS, CMBS). Proven knowledge of data modelling, architecture design, and governance. Familiarity with More ❯

is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate More ❯

is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate More ❯

platforms Confident communicator who can collaborate effectively with engineers and explain technical matters clearly to non-technical colleagues Bonus points if you have experience with: Data warehouse platforms like Snowflake Python or similar scripting for tooling and automation DevOps practices (CI/CD pipelines, monitoring, log management) SQL performance tuning and data modelling concepts Please note: My client cannot offer More ❯

environments Demonstrated ability to translate ambiguous business problems into scalable, production-ready data science solutions Hands-on experience with cloud platforms (AWS, GCP, Azure) and tools such as Databricks, Snowflake, and BigQuery Exceptional communication and stakeholder management skills, with the ability to influence decision-making across technical and non-technical teams Desirable skills Familiarity with real-time model serving, monitoring More ❯

solutions offered by the digital platforms such as Meridian, Ruby, etc Advanced excel or python skills to be able to work with huge data sets SQL, experience with GCP, Snowflake and other databases to extract the data and build data pipeline Experience with Power BI or other data visualization tools especially geo coded data is a big plus Bayesian statistics More ❯

integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks Proven project experience developing and maintaining data warehouses in big data solutions (Snowflake) Expert knowledge in Apache technologies such as Kafka, Airflow, and Spark to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that capture, explore, transform … SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks) Proficiency in the design and implementation of modern data architectures (ideally Azure, AWS. Microsoft Fabric, GCP, Data Factory) and modern data warehouse technologies (Snowflake, Databricks) Experience with database technologies More ❯

Kubrick Group NA# Snowflake Centre of Excellence LeadLondon, United KingdomShare this job with your network Job Description/Summary Role Purpose:As part of our Core Practice, you will be joining a tight knit team of motivated technology professionals where ongoing learning and development are central to our ethos and internal culture. You will work closely with our wider technical … delivery function, our sales team, and our partner management team with a particular focus on growing our relationship with Snowflake.Lead the establishment of Kubrick's Snowflake Centre of Excellence, collaborating with Capability Leads to ensure the organization maintains the expertise and experience needed across all core disciplines to deliver high-quality Snowflake solutions efficientlyTake ownership of developing Snowflake-focused intellectual … property, including best practices, accelerators, reusable frameworks, and reference architecturesStrengthen our Snowflake partnership by leveraging technical credibility to build trusted relationships with architecture and engineering stakeholders at SnowflakeProvide technical assurance on delivery projects, ensuring that all solutions adhere to established Snowflake implementation best practicesContribute to pre-sales activities by shaping proposals, supporting client workshops and meetings, publishing thought leadership content More ❯

and chairing CAB - Improving efficiency through automating solutions - Oversee system enhancements and software upgrades - Oversee data engineering process - ETL/ELT pipelines with Azure Data Factory - Drive development of Snowflake Data Warehouse - Digital roadmap development - IT projects To be considered suitable you will need the following skills/experience: - Understanding of the Microsoft Power Platform - Understanding of SDLC - Team management More ❯

and chairing CAB - Improving efficiency through automating solutions - Oversee system enhancements and software upgrades - Oversee data engineering process - ETL/ELT pipelines with Azure Data Factory - Drive development of Snowflake Data Warehouse - Digital roadmap development - IT projects To be considered suitable you will need the following skills/experience: - Understanding of the Microsoft Power Platform - Understanding of SDLC - Team management More ❯

Calibra, Qlik, Sigma, Power Platform Data Engineering : ETL/ELT pipeline development, data validation using DVT, and data quality frameworks Database Technologies : Advanced expertise in PostgreSQL and Databricks or Snowflake for data warehousing and analytics AWS Cloud Platform : Expert proficiency in S3, Glue, Lambda, data lake implementation, and cloud infrastructure management Insurance Domain Knowledge P&C Insurance Operations : Deep understanding More ❯

Application Support Manager - Investment Banking - London/Hybrid (Key skills: Application Support, Service Delivery, ITIL, Salesforce, Figaro, Invu, Snowflake, Power BI, Incident Management, Problem Management, Change Management, Application Lifecycle, Team Leadership, SLA Management, Vendor Management, Stakeholder Engagement, Continuous Improvement, Risk & Compliance, Investment Banking) Are you an experienced leader in application support, skilled in managing business-critical systems in high-pressure More ❯

differences between S/4HANA and ECC in the FI/CO module functionalities. Experience and knowledge of Analytics tools and Data Warehouses like PowerBI, Qlik, Azure Data Lake, Snowflake, SAP B4H, SAP Analytics Cloud etc. SAP Finance Data & Analytics Specialist ( Interim State Management) Osirian Consulting is committed to working with our clients to promote equality and diversity in the More ❯

We’re Looking For Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience More ❯

multi-disciplinary teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering More ❯

multi-disciplinary teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering More ❯

multi-disciplinary teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering More ❯

into constituent parts and delve deep into overlooked issues Fluency in SQL and the ability to query and transform large volumes of data (billions of rows) using tools like Snowflake Experience with BI tools such as Tableau or Looker and the ability to create highly accessible, digestible visualizations and dashboards Excellent communication and presentation skills, with the ability to effectively More ❯

into constituent parts and delve deep into overlooked issues Fluency in SQL and the ability to query and transform large volumes of data (billions of rows) using tools like Snowflake Experience with BI tools such as Tableau or Looker and the ability to create highly accessible, digestible visualizations and dashboards Excellent communication and presentation skills, with the ability to effectively More ❯

into constituent parts and delve deep into overlooked issues Fluency in SQL and the ability to query and transform large volumes of data (billions of rows) using tools like Snowflake Experience with BI tools such as Tableau or Looker and the ability to create highly accessible, digestible visualizations and dashboards Excellent communication and presentation skills, with the ability to effectively More ❯

into constituent parts and delve deep into overlooked issues Fluency in SQL and the ability to query and transform large volumes of data (billions of rows) using tools like Snowflake Experience with BI tools such as Tableau or Looker and the ability to create highly accessible, digestible visualizations and dashboards Excellent communication and presentation skills, with the ability to effectively More ❯

delivery. Experience with go-to-market activities, RFI/RFP responses, and proposal materials. TOGAF or equivalent certification; cloud certifications (AWS/Azure); data & AI tooling (e.g., Azure Fabric, Snowflake, Databricks). Experience with Data Mesh and data governance platforms (e.g., Collibra, Informatica). Ability to develop a common language for data, data models, data dictionaries, vocabularies, taxonomies, or ontologies. More ❯

drive continuous improvement in analytics processes to enhance Finance's ability to contribute value to the organisation. Demonstrable proficiency in SQL and Pythonfor data analysis and manipulation (experience with Snowflake, R, GitHub, and Jira is advantageous but not required) Knowledge of the following Python modules is advantageous: Pandas, scikit-learn and statsmodels Experience delivering actionable insights that contribute to business More ❯

the following: Database management proficiency/SQL Python (specifically for data analysis) Data visualisation (Power BI) Microsoft Office suite (Excel/PowerPoint) Familiarity with cloud data platforms (Data Bricks, Snowflake) Excellent communication skills, both verbal and written, with the ability to control communication flows; Client facing experience is an advantage. Numerate and analytical, comfortable with advanced mathematical and statistical concepts More ❯

the following: Database management proficiency/SQL Python (specifically for data analysis) Data visualisation (Power BI) Microsoft Office suite (Excel/PowerPoint) Familiarity with cloud data platforms (Data Bricks, Snowflake) Excellent communication skills, both verbal and written, with the ability to control communication flows; Client facing experience is an advantage. Numerate and analytical, comfortable with advanced mathematical and statistical concepts More ❯