17 of 17 Remote Snowflake Jobs in Central London

/remote working and a salary between £50,000 and £70,000. As part of the data engineering team, youll design and deliver scalable data products using technologies like Snowflake, Power BI, Python, and SQL. Your work will enable self-service analytics and support data governance across the business. Key Responsibilities: Develop robust ETL/ELT pipelines and dimensional models More ❯

role. Advanced Power BI skills, including DAX, Power Query (M), and custom visuals. Strong experience in data transformation and modelling . Proven ability in data integration across multiple sources (Snowflake, SQL, APIs, Excel, etc.). Experience working in or with the defence, government, or public sector is highly desirable. Knowledge of Data Warehousing concepts and practices. Familiarity with Agile methodologies More ❯

for large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to More ❯

of data engineering principles and best practices, including data modelling, observable ETL/ELT processes, data warehousing and data governance You have experience with AWS and tools such as Snowflake You're collaborative and pragmatic with excellent communication skills What's in it for you: As a Principal Data Engineer you will earn a competitive package including: Salary to £120k More ❯

and with external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced data science role so More ❯

Strong communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation tools (we use Preset.io/Apache Superset). Exposure to More ❯

Deep experience with 3NF, dimensional, and Vault 2.0 modelling Real-time and streaming data know-how Hands-on with tools like Erwin, Lucidchart, PowerDesigner Strong SQL and Python skills (Snowflake or similar) AWS experience (Lambda, SNS, S3, EKS, API Gateway) Familiarity with data governance (GDPR, HIPAA) Bonus points for: DBT, Airflow, Atlan, Iceberg, CI/CD, API modelling The vibe More ❯

enriching data models Championing data quality and governance across teams Driving deeper understanding of audience behaviour and customer needs The Tech: They’re set up with a modern stack — Snowflake, dbt, Looker — and are keen to find someone who can bring experience with: SQL (and data modelling best practices) Working with cloud data warehouses Pulling from multiple sources and transforming More ❯

delivery. Passionate about the real-world impact of AI and emerging technologies. Nice to Have Experience in sectors like telco, financial services, or retail. Knowledge of tools like Databricks, Snowflake, or Azure ML. Understanding of generative AI use cases and deployment frameworks. Why this opportunity? Work on complex, strategic programmes that blend consulting with hands-on innovation. Collaborate with a More ❯

and cloud consumption, working closely with Microsoft'sautonomous unit and internal teams across Compliance, Risk, and Delivery. Onthe AWS side, responsibilities include renewals and sourcing across keysuppliers like Datadog, Snowflake, and CloudWatch, as well as SaaS andL&P-focused procurement. This role currently has one direct report(expanding to two), sits within a global team of 30, and reports into More ❯

this kind of experience, but it would be a huge plus. There's a modern data tech stack in place and recent projects have included an Azure migration and Snowflake implementation. There are no plans to stop here and your ideas and strategies may well involve some new platforms to help you achieve your goals. It's a multi-faceted More ❯

experimentation and deployment. 🛠️ Key Responsibilities Build and maintain high-performance data pipelines to power AI/ML use cases Architect cloud-native data platforms using tools like Databricks , Airflow , Snowflake , and Spark Collaborate with AI/ML teams to align data processing with model requirements Develop ETL/ELT workflows to support feature engineering, model training, and inference Optimise data … or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake , Airflow Solid grasp of data modelling, orchestration, and infrastructure-as-code (Terraform, Docker, CI/CD) Excellent communication and client-facing skills—comfortable leading on technical delivery 🎁 What’s on More ❯

find incredible minds from all backgrounds to train with us, creating a diverse team of experts. We’re the preferred partner of today’s leading technology providers, including Databricks, Snowflake, and Collibra, to accelerate delivery and co-create revolutionary solutions. We transform the lives of our consultants, clients, and their customers through data and AI. The Role: This is a More ❯

join their growing London-based data team. You’ll work on mission-critical data engineering projects they continue their global expansion—starting with integrating the European ledger into their Snowflake data warehouse to create a unified view of business performance across regions. This is a hands-on, high-visibility role, reporting directly to VP of Data based in the US … ll Be Doing • Design and own robust, high-performance ETL pipelines using SQL, Python, Databricks, and DBT • Ingest complex data sets from Europe’s specialty and warranty businesses • Integrate Snowflake warehouse and automate financial/operational reports • Support data product strategies and improve overall data quality and structure • Collaborate with product managers and engineers on global data initiatives • Define and More ❯

Risk Reporting & Analytics Team Lead – Snowflake | Power BI | Banking Overview: A leading global financial institution is looking for an experienced and strategic leader to head its Risk Analysis and Reporting function. This is a key role for a delivery-focused professional with a technical background and a deep understanding of risk systems, who can drive innovation across Business Intelligence and … data platforms. The successful candidate will lead a high-performing national team and play a central role in enhancing data capabilities using Snowflake and Power BI. Role & Responsibilities: Lead and mentor a team of 10–15 data and analytics engineers Oversee delivery of risk reporting solutions across Market, Credit, and Enterprise Risk Liaise with risk managers and modellers to translate … business needs into data solutions Drive project delivery, performance, and team development Support strategic growth of the Snowflake platform and Power BI capability Ensure alignment with risk and regulatory standards Essential Skills & Requirements: Strong leadership in BI, analytics, or data engineering, ideally within banking 5+ years of Snowflake experience with deep platform knowledge Proven experience with Power BI and server More ❯

strong foundation in Data Engineering and experience managing a squad of 47 Data Engineers. Youll bring solid SQL skills, cloud expertise (preferably Azure), and familiarity with tools such as Snowflake, Databricks, ADF, Python, and GenAI. Youll manage a squad of engineers and play a key role in delivering scalable, modern data solutions as part of a group-wide transformation. Requirements … modern data architectures and tooling; Financial Services experience is a plus. Experience managing Data Engineering teams Strong SQL and cloud skills (Azure preferred) Familiar with modern data tools (e.g. Snowflake, Databricks, ADF, Python) Track record of building/maintaining robust data pipelines Agile experience Financial Services experience is a bonus If you are an experienced Data Engineering Manager with the More ❯

find incredible minds from all backgrounds to train with us, creating a diverse team of experts. We’re the preferred partner of today’s leading technology providers, including Databricks, Snowflake, and Collibra, to accelerate delivery and co-create revolutionary solutions. We transform the lives of our consultants, clients, and their customers through data and AI. The Role: We're hiring … solutions and client needs. Responsibilities: Lead the technical delivery of cloud-native data platforms using AWS, Azure, or GCP Architect and implement scalable solutions with tools like Databricks and Snowflake Integrate ingestion/orchestration frameworks across a variety of client environments Provide hands-on mentorship, line management, and technical guidance to delivery teams Collaborate directly with clients and stakeholders to … shape our future delivery capabilities Personal Specification: Must be able to demonstrate significant experience deploying cloud-native solutions across at least two of: AWS, Azure, GCP Expertise in Databricks, Snowflake, and modern DevOps practices (IaC, CI/CD) Strong solution architecture skills, with the ability to communicate technical ideas clearly to business stakeholders Experience in technical leadership and/or More ❯