1 to 25 of 26 Remote Snowflake Jobs in London

Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership experience, with the ability to mentor, influence, and set technical More ❯

engineering teams delivering end-to-end data solutions across cloud and on-premise environments. Solution Architecture – Design modern data lakes, warehouses, and lakehouses using Databricks , with additional exposure to Snowflake, Azure Synapse, or Fabric being a bonus. Data Modelling – Build and optimise enterprise-grade data models across varied data layers. ETL/ELT Engineering – Use tooling such as Databricks, SSIS More ❯

and communication skills. Desirable Certifications Bachelors degree in Data Science, Computer Science, Mathematics , or a related field. Microsoft Certified Azure Data Engineer Associate or Azure Database Administrator Associate . Snowflake Certified Data Engineer or equivalent certification in modern cloud data warehousing . Professional certifications in Python , SQL , or ETL/Data Pipelines (e.g., Coursera, DataCamp). Whats on Offer Salary More ❯

data quality rules, lineage tracking, metadata standards, and platform-level risk management. Deep understanding of AI assurance, including model governance, algorithmic transparency, Technical experience with data and AI platforms: Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, AWS, Azure, or similar. Proficiency with analytics tooling: SQL, Python, Alteryx, Tableau, Power BI, or other BI/ETL tools. More ❯

monitoring in Databricks CICD Knowledge of DevOps practices for data pipelines Certifications: Azure Data Engineer or Azure Solutions Architect certifications Skills Mandatory Skills: Python for DATA,Java,Python,Scala,Snowflake,Azure BLOB,Azure Data Factory, Azure Functions, Azure SQL, Azure Synapse Analytics, AZURE DATA LAKE,ANSI-SQL,Databricks,HDInsight If you're excited about this role then we would like More ❯

monitoring in Databricks CICD Knowledge of DevOps practices for data pipelines Certifications: Azure Data Engineer or Azure Solutions Architect certifications Skills Mandatory Skills: Python for DATA,Java,Python,Scala,Snowflake,Azure BLOB,Azure Data Factory, Azure Functions, Azure SQL, Azure Synapse Analytics, AZURE DATA LAKE,ANSI-SQL,Databricks,HDInsight If you're excited about this role then we would like More ❯

player - Collaborative, curious, and happy to work in a self-organising, fast-paced environment. Nice-to-Have Skills: Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). Familiarity with data orchestration tools (e.g., Airflow). Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). Exposure to CI/CD pipelines More ❯

player - Collaborative, curious, and happy to work in a self-organising, fast-paced environment. Nice-to-Have Skills: ·Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). ·Familiarity with data orchestration tools (e.g., Airflow). ·Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). ·Exposure to CI/CD pipelines More ❯

years in commercial analytics, ideally with marketing or customer analytics exposure. Strong SQL skills with experience in dbt or similar modelling frameworks. Experience with modern cloud data warehouses (BigQuery, Snowflake, Redshift, etc.). Skilled in dashboarding tools (Looker, Power BI, etc.). Comfortable working with Marketing/User Acquisition teams. Understanding of advertising platform constraints (Meta, Google, mobile tracking). More ❯

pressures Able to follow best practices and adapt, even without established iteration management Desirable DBT Previous experience of working with D365 data API Integration (OData ideally) Basic accounting knowledge Snowflake This assignment is signed off and approved with the hope of getting someone started ASAP and before Christmas. Day rate is dependent on experience and expected to be in the More ❯

pressures Able to follow best practices and adapt, even without established iteration management Desirable DBT Previous experience of working with D365 data API Integration (OData ideally) Basic accounting knowledge Snowflake This assignment is signed off and approved with the hope of getting someone started ASAP and before Christmas. Day rate is dependent on experience and expected to be in the 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 ❯

requirements and support business deliverables.* Collect, transform, and process datasets from various internal and external sources, ensuring data quality, governance, and integrity.* Implement efficient data models and schemas within Snowflake, and use DBT for transformation, orchestration, and workflow management.* Optimise ELT/ETL processes for improved performance, cost efficiency, and scalability.* Troubleshoot and resolve data pipeline issues swiftly and effectively … technologies in data engineering, and continuously improve your skills and knowledge. Profile * Minimum 3 years' experience working as a Data Engineer in a commercial environment.* Strong commercial experience with Snowflake and DBT.* Proficient in SQL and experienced in data modelling within cloud data warehouses.* Familiarity with cloud platforms such as AWS or Azure.* Experience with Python, Databricks, or related data More ❯

boundaries of what's possible with data and AI. What You'll Do Design & build high-performance ETL/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and … modern data tools and cloud platforms to turn data into something powerful. You'll bring: 3+ years' experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and workflow management. A desire More ❯

Akkodis is partnering with a reputable client in Finance and they are looking for a Data Engineer with strong Databricks experience to expand their IT Team. They are currently improving their CX transformation programme and making changes to their institutional More ❯

be responsible for troubleshooting, DevOps, and facilitating cross-platform integration in a hybrid working environment. Key Responsibilities: System Integration & Architecture Design and implement solution integrations across Databricks, ServiceNow, SAP, Snowflake, and Mulesoft . Architect containerized applications with secure connectivity to backend services. Develop and test APIs for integration across cloud and on-premises environments. Application Development & Deployment Oversee the build More ❯

account planning, and go-to-market discussions. Stay up to date with cloud trends, certifications, and competitive positioning. Partner Engagement Work with partners such as AWS, Microsoft, Databricks, and Snowflake to align solutions with partner technologies. Participate in partner workshops, labs, and pre-sales activities. Contribute to the development of new packaged solutions and service offerings. Internal Collaboration Act as More ❯

DBT Cloud Data Engineer (Snowflake, Azure) | Insurance | London (Hybrid) Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting firm in sourcing an experienced DBT Data Engineer to join a major insurance client engagement . The role focuses on scaling a Snowflake Data Warehouse and expanding its DBT Cloud modelling capabilities to support new analytics … NI & Tax deducted at source, unlike umbrella companies and no umbrella company admin fees) You'll be part of a growing data engineering function focused on DBT model development , Snowflake optimisation , and data governance across multiple data domains. This role suits a technically strong engineer with proven DBT Cloud experience who can take ownership of data pipelines and drive best … in transformation, testing, and automation. Key Skills & Experience Deep DBT Cloud expertise, including models, macros, tests, documentation, and CI/CD integration. Hands-on experience developing and optimising in Snowflake Cloud Data Warehouse (schemas, warehouses, security, time travel, performance tuning). Familiarity with Snowflake cost monitoring, governance, replication , and environment management. Strong understanding of data modelling (star/snowflake schemas More ❯

development and process automation, particularly within the Microsoft Power Platform ecosystem. Skilled in leveraging cloud technologies such as Azure for infrastructure and data solutions, with hands-on experience in Snowflake, Matillion, and QlikSense for modern analytics and data transformation. Leadership Capabilities: Demonstrated success in leading multidisciplinary IT teams, fostering collaboration across technical and business functions. Adept at managing relationships with More ❯

Role: Data Engineer (AWS)Contract: £450pd-£500pd (Inside IR35)Location: Remote working with occasional travel to siteDuration: End of March 2026 (expected to extend at the new financial year) We are currently recruiting for a Data Engineer to work on More ❯

Role: Data Engineer (AWS) Contract: £450pd-£500pd (Inside IR35) Location: Remote working with occasional travel to site Duration: End of March 2026 (expected to extend at the new financial year) We are currently recruiting for a Data Engineer to work More ❯

Defining and designing scalable, future-ready solutions that deliver strong and flexible data architecture that supports across the business Developing and executing a migration plan for legacy data into Snowflake, ensuring a smooth and efficient transition Working in a modern Dev/DataOps culture The tech stack will include: AWS, Fivetran, DBT, Snowflake, Power BI, Sifflet, Postgres SQL, SQL 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 ❯

into robust, scalable solutions while collaborating across multi-disciplinary teams and external vendors. As a key member of the data architecture you will: Build and orchestrate data pipelines across Snowflake and AWS environments. Apply data modeling, warehousing, and architecture principles (Kimball/Inmon). Develop pipeline programming using Python, Spark, and SQL; integrate APIs for seamless workflows. Support Machine Learning … engineering and creating AI artifacts. Work independently while providing clear justification for technical decisions. Key Skills & Experience Strong experience in data pipeline development and orchestration. Proficient with cloud platforms (Snowflake, AWS fundamentals). Solid understanding of data architecture, warehousing, and modeling. Programming expertise: Python, Spark, SQL, API integration. Knowledge of ML/AI frameworks, MLOps, and advanced analytics concepts. Experience More ❯

with at least 3 years hands-on experience with Snowflake. We are seeking a hands-on, experienced Data Platform Lead to own the design, development, and support of our Snowflake-based data platform. Experience in life sciences, biotech, or healthcare data is highly preferred. Familiarity with data governance, MDM, and regulatory compliance (HIPAA, GDPR) in a data platform context. Bachelor … s degree in computer science, Information Systems, Data Engineering, or related field (Master's preferred). Snowflake certifications (SnowPro Core or equivalent) a plus. Strong understanding of cloud ecosystems (Azure). Demonstrated ability to lead and deliver complex data platform projects end-to-end. If you're excited about this role then we would like to hear from you! Please More ❯