A passion for data, a growth mindset, and an ability to excel in a dynamic environment. Proficiency in dbt and SQL . Experience with big data technologies, such as Snowflake or comparable solutions. Familiarity with cloud-based data solutions, ideally on AWS , GCP , or Azure . Strong knowledge of data modeling, data warehousing, and ETL/ELT processes. 5+ years … in software development (using languages such as Go, Java, Python, C# , etc.). 3+ years of experience specifically in data engineering. Our Tech Stack Go, Temporal, dbt, Modern RDBMS, Snowflake, AWS, Kubernetes, modern design & architectural patterns, React, GraphQL. More ❯
data and analytics for a fortune 100 company. As a key member of this team, you will play a pivotal role in designing and implementing data warehousing solutions using Snowflake and AWS. You will help drive the evolution of our data architecture as we move our North Star from Redshift to Snowflake. At Liberty, we deliver our customers peace of … at least one programming language, with Python strongly preferred for data processing, automation, and pipeline development • Strong acumen for application health through performance monitoring, logging, and debugging • AWS or Snowflake certifications are a plus About Liberty Specialty Markets (LSM) Liberty Specialty Markets is part of Global Risk Solutions and the broader Liberty Mutual Insurance Group, which is a leading global More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Noir
Data Engineer - Investment Banking - London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Snowflake, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles including a Data Engineer position to … across several teams to join their new and growing IT team! They are looking for an experienced Lead Data Engineer with expert level Java/Python, as well as Snowflake/Databricks to join an exceptional core engineering team and deliver features across their Data Engineering platform. We are seeking a Data Engineer who has advanced working knowledge of SnowflakeMore ❯
East London, London, United Kingdom Hybrid / WFH Options
Client Server
Lead Data Engineer (AWS Snowflake Python) London/WFH to £110k Are you a technologist Data Engineer with strong technical leadership skills? You could be progressing your career in an impactful, hands-on Lead Data Engineer role at a growing technology company as they expand their UK presence. As a Lead Data Engineer you'll take responsibility for the team … most of the time, meeting up with colleagues in the London office once or twice a week. About you: You're an experienced Data Engineer with advanced AWS and Snowflake experience You have strong experience of building Data Lakes, Data Warehouse and/or Data Marts You have experience of building and configuring data pipelines using ETL/ELT from … What's in it for you: Salary to £110k Impactful role at a scaling company Flexible working Apply now to find out more about this Lead Data Engineer (AWS Snowflake Python) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people More ❯
Freewheel's System Administration and Automation Team, you will leverage a dynamic skill set as you help us create and implement standards and best practices in our rapidly growing Snowflake Environment. You will be an excellent communicator who is comfortable providing expert consultation on our tool sets both remotely and in person to all levels of the organization. You will … Engineering and BI Tools. You will be driven to learn about Freewheel's Ad-Tech driven products (MRM, Beeswax, Strata, and others) and how their processes are implemented in Snowflake and other Tools such as Looker. You will be a subject matter expert that understands how data flows across our platforms and assist in creating cleaner and streamlined data workflows … throughout the FreeWheel Enterprise. 12 Month Contract with possibility for Perm Job Description In this role, you will: • Design new software and Data Engineering applications in the Snowflake Environment • Displays in-depth knowledge of engineering methodologies, concepts, skills and their application in Snowflake and related technologies. • Develop advanced Snowflake SQL and ETL code for support of FreeWheel's BI Systems More ❯
BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control (Okta) Job Scheduling & Monitoring (AWS, Splunk) Agile Data More ❯
BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control (Okta) Job Scheduling & Monitoring (AWS, Splunk) Agile Data More ❯
the ground up. It’s a dynamic, evolving role that requires a proactive mindset and a continuous improvement approach. Key Technologies & Tools: Salesforce platform (Admin, Developer, and Deployment tools) Snowflake Data Cloud Git, Bitbucket, GitHub Jenkins, Azure DevOps, or GitLab CI/CD Jira, Confluence DataOps tools (e.g., dbt, Airflow) – Desirable The Ideal Candidate: Has previously built environments for large More ❯
the ground up. It's a dynamic, evolving role that requires a proactive mindset and a continuous improvement approach. Key Technologies & Tools: Salesforce platform (Admin, Developer, and Deployment tools) Snowflake Data Cloud Git, Bitbucket, GitHub Jenkins, Azure DevOps, or GitLab CI/CD Jira, Confluence DataOps tools (e.g., dbt, Airflow) - Desirable The Ideal Candidate: Has previously built environments for large More ❯
the ground up. It's a dynamic, evolving role that requires a proactive mindset and a continuous improvement approach. Key Technologies & Tools: Salesforce platform (Admin, Developer, and Deployment tools) Snowflake Data Cloud Git, Bitbucket, GitHub Jenkins, Azure DevOps, or GitLab CI/CD Jira, Confluence DataOps tools (e.g., dbt, Airflow) - Desirable The Ideal Candidate: Has previously built environments for large More ❯
a Data Engineering role, ideally with some prior management or lead responsibility. A real passion for coaching and developing engineers. Hands-on experience with their tech stack - any cloud, Snowflake (or equivalent), Python, Airflow, Docker Ability to juggle multiple products and effectively gather requirements. Experience with real-time data products is a big plus. Strong communication skills and a good More ❯
documentation and report writing skills to effectively communicate findings and recommendations Familiarity with IT systems, databases, and software applications commonly used in the industry. Exposure to tools like Excel, Snowflake and Tableau is a plus More ❯
documentation and report writing skills to effectively communicate findings and recommendations Familiarity with IT systems, databases, and software applications commonly used in the industry. Exposure to tools like Excel, Snowflake and Tableau is a plus More ❯
and researchers to fulfil their data needs Experience performing data analysis in SQL and Python using common libraries like pandas Experience using cloud-based tools like AWS S3 or Snowflake Strong organizational and relationship management skills The annual base salary range for this position is $100,000 to $145,000 depending on the candidate's experience, qualifications, and relevant skill More ❯
understanding of data governance, data lineage, and metadata management. Hands-on experience with data modelling tools (e.g., Erwin, PowerDesigner). Familiarity with hyperscalers and modern data platforms (e.g., Databricks, Snowflake). Ability to articulate complex technical concepts clearly and concisely. Experience working with cross-functional teams and influencing decision-making. Strong problem-solving skills and attention to detail. About Capgemini More ❯
customer business. Able to understand the architecture on any Hyper-scaler [Azure and GCP] and identify potential opportunities for improvement. Knowledge of cutting edge data platforms such as Databricks & Snowflake Able to Create Business Plan for expanding business – Potential Business Opportunities/Competition Strengths, Weaknesses, Continuous improvement, Innovation, and growth Mindset Key Skills Strategic Thinking and Execution Deep E&U More ❯
customer business. Able to understand the architecture on any Hyper-scaler [Azure and GCP] and identify potential opportunities for improvement. Knowledge of cutting edge data platforms such as Databricks & Snowflake Able to Create Business Plan for expanding business – Potential Business Opportunities/Competition Strengths, Weaknesses, Continuous improvement, Innovation, and growth Mindset Key Skills Strategic Thinking and Execution Deep E&U More ❯
Hugging Face, LangChain. MLOps and deployment: Docker, Kubernetes, Azure ML Studio, MLFlow. Cloud and AI infrastructure: Experience with Azure Cloud for scalable deployment. Databases and data platforms: SQL, NoSQL, Snowflake, Databricks. OUR VALUES: CURIOSITY, OPTIMISM, AMBITION, EMPATHY We are a growing team committed to diversity, inclusion, and a positive culture, focusing on solutions, growth, and mutual support. TEAM CULTURE We More ❯
Familiarity with major platforms like SAP S/4 ERP, Workday, Microsoft 365, ServiceNow, Salesforce . Strong understanding of integration technologies (e.g., Ab Initio, Mulesoft) and data architecture (e.g., Snowflake, Tableau, Microstrategy). Knowledge of cloud platforms (AWS, Azure, Google Cloud) and AI/ML enablement . Benefits: Discretionary bonus opportunity Hybrid Working (within Flexmodes) Private Medical Insurance Dental Scheme More ❯
Hightouch AEs throughout the customer journey, delivering tailored demonstrations and customer POCs based on agreed-upon requirements. Develop deep technical domain expertise in Data Activation, CDP, data warehousing (e.g., Snowflake, BigQuery, Databricks), and integration platforms , with a focus on Enterprise use cases across various industries within EMEA, including financial services, retail, SaaS, and similar enterprises. Be accountable for the exceptional More ❯
Finance, and People teams - and navigating multiple priorities. Bonus: experience with reporting tools like Tableau, Looker, or SQL - especially if you're comfortable working with cloud data warehouses like Snowflake to shape data, power dashboards, and structure reports. Even better if you've worked in a high-growth or international environment, where systems needed to scale fast and insights needed More ❯
such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing More ❯
such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing More ❯
such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing More ❯
such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing More ❯
