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πŸ”₯ VP Data (f/m/d)
Posted about 2 hours ago

πŸ“ Germany, Spain, Czech Republic, Portugal, Slovakia, Austria

🧭 Full-Time

πŸ” Fintech, SaaS

🏒 Company: re:cap

  • 8+ years of experience in data management, analytics or data science roles, with a focus on fintech or SaaS
  • 4+ years of leadership experience, preferable in a fast-growing environment, fostering a culture of data-driven decision-making & scaling data teams
  • Proficient in data analytics with SQL and Python, with experience in DuckDB and Parquet being a plus
  • Expertise in machine learning frameworks and know how to bring ML applications into production
  • Experience with modern data stack architectures, including Storage: GBQ, Snowflake, Databricks; Integration: Airbyte, Fivetran; Transformation: dbt; Orchestration: Dagster, Airflow
  • Understand data architectures that can handle high-volume data pipelines and analytics
  • Can translate complex data findings into actionable insights for diverse stakeholders
  • Good understanding of the fintech landscape, with a particular experience with funding solutions and SaaS being a plus
  • Familiar with compliance considerations related to financial data and GDPR
  • Define and implement a data strategy aligned with re:cap's mission to provide cutting-edge funding solutions and automate financial operations
  • Build data products that are tightly integrated into our customer-facing applications together with our Engineering team
  • Manage the development and deployment of machine learning models and AI solutions to automate financial operations for our customers and generate insights
  • Improve data quality processes and establish robust data governance frameworks to ensure data integrity, security, and compliance with financial regulations
  • Provide strategic guidance to founders and board members on data-related initiatives, ensuring alignment with overall business goals and market opportunities
  • Engage with key stakeholders across the organization to understand their data needs and ensure that data initiatives support their objectives
  • Lead our teams of data engineers, data scientists, and financial data specialists to derive actionable insights that enhance product offerings and customer experiences
  • Work closely with our Product, Engineering, and Commercial teams to integrate data solutions into our SaaS platform and funding products

AWSLeadershipPythonSQLApache AirflowData AnalysisETLMachine LearningSnowflakeCross-functional Team LeadershipData engineeringData sciencePostgresCommunication SkillsAnalytical SkillsData visualizationStakeholder managementData modelingData analyticsData managementSaaS

Posted about 2 hours ago
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πŸ”₯ Data Engineering Lead
Posted about 4 hours ago

πŸ“ USA

🧭 Full-Time

πŸ” Fintech

🏒 Company: Keep

  • Held a Data Lead, Senior Data Engineer, or Senior Data Scientist role.
  • Previous experience in Startups and Fintechs.
  • Hands-on experience with setting up and scaling data infrastructure.
  • Proficiency in Python, SQL, and modern data tools, including DBT, Snowflake, Fivetran, Hightouch, and other ETL/reverse ETL tools
  • Have strong data engineering skills, including data pipeline creation and maintenance.
  • Design, implement, and maintain a robust data infrastructure using modern tools like DBT, Snowflake, and ETL frameworks.
  • Ensure data accuracy, availability, and security across all systems.
  • Define and implement key underwriting performance metrics (e.g., default rates and approval times).
  • Run experiments to optimize underwriting processes and measure their impact.
  • Work closely with Product, Engineering, and Operations to understand workflows and suggest changes to improve data visibility and usability.
  • Communicate complex data insights to stakeholders, facilitating informed decision-making.
  • Address data bottlenecks impacting SWE teams.
  • Lay the groundwork for a scalable data team, mentoring and guiding new hires as the team grows.
  • Foster a culture of collaboration, innovation, and data-driven decision-making.

AWSLeadershipPythonSQLApache AirflowETLSnowflakeAmazon Web ServicesAPI testingData engineeringCommunication SkillsAnalytical SkillsCollaborationProblem SolvingRESTful APIsMentoringData visualizationData modelingScriptingData analyticsData management

Posted about 4 hours ago
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πŸ”₯ Revenue Operations Analyst
Posted about 6 hours ago

πŸ“ United States

🧭 Full-Time

πŸ” Software Development

🏒 Company: Monte Carlo

  • 4+ years of experience in a Revenue Operations, Sales Operations, or Business Intelligence role.
  • Hands-on experience with SQL (querying, data manipulation, and optimization).
  • Experience with Salesforce (SFDC) administration and reporting.
  • Strong proficiency in Looker (building dashboards, reports, and visualizations).
  • Familiarity with Snowflake or other cloud-based data warehouses.
  • Strong analytical skills with the ability to interpret data and provide actionable insights.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work cross-functionally and communicate effectively with technical and non-technical stakeholders.
  • Develop dashboards and reports in Looker, SFDC, and Snowflake to track key revenue and sales metrics.
  • Write SQL queries to extract, manipulate, and analyze data from Snowflake and other databases.
  • Maintain and improve Salesforce data integrity, automate workflows, and optimize sales processes.
  • Support revenue forecasting, pipeline analysis, and performance tracking for sales and GTM teams.
  • Identify inefficiencies in revenue operations and recommend scalable solutions.
  • Work with sales, marketing, and finance to ensure accurate and aligned revenue reporting.
  • Ensure data quality, consistency, and compliance across systems.

SQLBusiness IntelligenceData AnalysisSalesforceSnowflakeData management

Posted about 6 hours ago
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πŸ”₯ Data Engineer
Posted about 16 hours ago

πŸ“ United States

🧭 Full-Time

πŸ’Έ 135000.0 - 150000.0 USD per year

πŸ” Fintech

🏒 Company: BranchπŸ‘₯ 251-500πŸ’° $300,000,000 Series F about 3 years agoπŸ«‚ Last layoff 7 months agoMobile AdvertisingApp MarketingMobile AppsSoftware

  • 3+ years of experience as a Data Engineer
  • 3+ years of using Apache Airflow in a production setting.
  • Expert in Python and SQL
  • Hands-on experience with cloud platforms such as Google Cloud (GCP) or AWS.
  • Familiarity with our modern data stack: Snowflake, Airflow, Apache Beam, DBT, Looker, Secoda, Fivetran, hightouch
  • Develop, maintain, and optimize data pipelines to support analytics, reporting, and business intelligence needs.
  • Design and implement data integrations across multiple backend business systems, ensuring efficient and reliable data flows.
  • Work on streaming data processing using frameworks like Apache Beam to handle real-time data ingestion and transformation.
  • Build and maintain APIs to enable seamless data access and sharing across internal teams and platforms.
  • Manage orchestration and automation of workflows using Airflow on Kubernetes.
  • Ensure data quality, security, and compliance by implementing best practices for monitoring, testing, and governance.
  • Collaborate with analytics and engineering teams to optimize data models and improve system performance.

AWSPythonSQLApache AirflowETLGCPKubernetesSnowflakeAirflowAPI testingData engineeringREST APIData modelingData analytics

Posted about 16 hours ago
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πŸ“ India

  • 10+ years of experience, including 3+ years as a Senior Manager in data engineering, platform management, or similar roles, leading teams of 5+ members.
  • Expertise in cloud-based data platforms (AWS, GCP, Azure) and big data technologies (e.g., Spark, Kafka, Databricks, Snowflake, Redshift).
  • Hands-on experience designing data pipelines, ETL frameworks, and scalable data infrastructure.
  • Strong understanding of data governance, security, and compliance best practices.
  • Ability to communicate technical concepts effectively to non-technical stakeholders.
  • Strong leadership and team-building skills with a track record of managing high-performing data engineering teams.
  • Develop and execute a 12–18-month strategy for analytics and data platform evolution, aligned with organizational objectives.
  • Provide technical and strategic direction to a cross-functional team of data engineers and data platform specialists.
  • Work closely with senior leadership and business stakeholders to identify opportunities for data-driven decision-making and operational improvements.
  • Drive adoption of best-in-class data platform solutions that balance scalability, security, and usability.
  • Lead the design and implementation of scalable data pipelines, ETL processes, and data warehousing solutions to ensure data accuracy, integrity, and availability.
  • Evaluate and integrate cutting-edge data technologies to improve processing efficiency, storage, and accessibility.
  • Build self-service analytics and BI tools to empower teams across product, marketing, finance, and operations with real-time insights.
  • Establish and enforce data governance policies, ensuring compliance with relevant data protection regulations and industry best practices.
  • Implement data security measures to protect sensitive information and maintain high standards of data integrity and access control.
  • Recruit, mentor, and manage a high-performing team of data engineers and platform specialists.
  • Foster a collaborative and innovative team culture that encourages continuous learning and growth.
  • Partner with cross-functional teams, including product, analytics, finance, and operations, to ensure the data platform meets evolving business needs.
  • Translate business challenges into scalable data solutions, ensuring seamless integration into company-wide decision-making processes.

AWSLeadershipProject ManagementSQLBusiness IntelligenceCloud ComputingETLGCPKafkaPeople ManagementSnowflakeCross-functional Team LeadershipStrategyAzureData engineeringSparkData visualizationTeam managementData modelingData management

Posted about 21 hours ago
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πŸ“ United States, Australia, Canada, South America

🧭 Full-Time

πŸ’Έ 199000.0 - 237000.0 USD per year

πŸ” FinTech

🏒 Company: Flex

  • 5+ years of professional software development experience.
  • 3+ years of user growth domain experience
  • 3+ years of hands-on experience with Java.
  • 3+ years of experience with React or React Native.
  • 3+ years of experience with TypeScript.
  • Having experience building high-quality mobile and web UIs to specifications is a must to have.
  • Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
  • Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
  • Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
  • Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.
  • Focus on creating exceptional user and partner experiences that drive engagement and retention.
  • Partner closely with product managers, designers, and data scientists, data analysts to identify and solve critical user onboarding challenges.
  • Design, develop, test, and deploy robust APIs, services and data pipelines that enhance user onboarding and overall platform experience.
  • Implement changes through an agile methodology, prioritizing rapid iteration and continuous improvement.
  • Utilize data and analytics to measure the impact of your work and identify opportunities for optimization.

AWSBackend DevelopmentDockerSoftware DevelopmentAgileAWS EKSDynamoDBFrontend DevelopmentGitJavaJUNITJVMReact NativeSnowflakeSpringTypeScriptUI DesignREST APIReactCI/CDTerraformMicroservices

Posted about 22 hours ago
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πŸ“ United States, Europe

🧭 Full-Time

πŸ’Έ 180000.0 - 220000.0 USD per year

πŸ” Software Development

🏒 Company: Eppo

  • Experience with OLAP SQL queries and processing
  • Expertise with software engineering practices like test coverage and CI/CD workflows
  • Experience with Nest.js (Typescript)
  • Building and maintaining backend APIs that power internal and external systems alike
  • Write backend software using Nest.js (Typescript) to power AirFlow tasks and our front-end API

Backend DevelopmentSoftware DevelopmentSQLApache AirflowCloud ComputingSnowflakeTypeScriptAPI testingData engineeringREST APINest.jsCI/CDData modelingNodeJSSoftware Engineering

Posted 1 day ago
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πŸ“ United States

πŸ’Έ 100937.0 - 207811.0 USD per year

πŸ” Software Development

  • Proven track record of creating and implementing automation, reporting and/or metrics programs for a large organization.
  • B.S degree in a technical field or equivalent experience
  • Intermediate data visualization tools, with a strong preference for Tableau
  • Intermediate experience with creating and maintaining large Google Sheets, with a proven ability to easily compile and maintain multi-sheet workbooks.
  • Basic competency with SQL queries, with a preference for Snowflake experience.
  • Basic JAVA script or google app development experience, or a desire to quickly learn both.
  • Proven ability to identify and communicate analysis and insights from data sources.
  • High writing communication and presentation skills, with experience presenting complex data analysis to high level stakeholders
  • Basic knowledge of headcount management process including recruiting, people systems and financials.
  • Maintain, upgrade and communicate a suite of reports that tracks all Engineering and Product headcount.
  • Be the Subject Matter Expert for all headcount related requests.
  • Lead the program for delivering automation for all headcount reports and processes.
  • Be the POC for HR, Finance and Recruiting requests related to active headcount.
  • Maintain critical response time and high customer feedback scores.
  • Assist in building out advanced metrics for leadership forums and ongoing reporting.
  • Assist with building out advanced β€œproof of concept’ tools for the Org Insight team.
  • Assist in planning and budgeting programs.

Project ManagementSQLData AnalysisJavascriptSnowflakeHR ManagementTableauFinancial ManagementMicrosoft ExcelReportingData visualizationData modelingData management

Posted 1 day ago
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πŸ“ US

🧭 Full-Time

πŸ’Έ 85000.0 - 105000.0 USD per year

🏒 Company: FURTHER

  • 4+ years of experience in business operations, preferably in a fast-paced, high-growth environment.
  • Experience configuring, administering, and optimizing operational systems to improve efficiency and scalability.
  • Strong analytical and problem-solving skills with a process-driven mindset focused on building scalable, repeatable workflows.
  • Proven ability to navigate ambiguity, identify areas for improvement, and independently drive solutions.
  • Experience working in a tech or startup environment, adapting to evolving priorities and undefined parameters.
  • Proficiency in data analysis and SQL, with the ability to leverage data for decision-making and operational improvements.
  • Experience with compliance frameworks (e.g., SOC 2).
  • Experience driving cross-functional initiatives from start to finish.
  • Familiarity with Metabase, Snowflake, or other data platforms
  • Administer and optimize key internal systems to improve operational workflows and data accuracy.
  • Build scalable processes within existing platforms (e.g., Jira Service Management) to support organizational growth.
  • Identify and implement automation opportunities to streamline manual processes.
  • Own the end-to-end onboarding process for new hires, ensuring a seamless experience from pre-hire setup to full integration.
  • Coordinate across teams to align onboarding logistics, system access, and compliance requirements.
  • Manage operational compliance requirements, including SOC 2, annual training, and audit processes in collaboration with leadership.
  • Maintain accurate documentation and tracking systems to ensure ongoing compliance.
  • Partner with internal teams to drive cross-functional operational projects, ensuring alignment across departments.
  • Support the implementation of new tools, systems, and workflows to enhance efficiency.

SQLData AnalysisSnowflakeJiraOperations ManagementBusiness OperationsMicrosoft ExcelComplianceData visualizationProcess improvementData analyticsData management

Posted 1 day ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 62400.0 - 78000.0 USD per year

πŸ” SaaS

  • 3+ years of experience in technical implementation, solution engineering, or customer success management with a focus on SaaS or enterprise solutions.
  • Strong project management skills with experience in managing cross-functional teams and complex implementations.
  • Experience with data analytics and visualization tools (e.g, Looker, PowerBI, SQL, Snowflake)
  • Experience with APIs, integrations, and technical configurations for software solutions.
  • Ability to understand and communicate complex technical concepts to both technical and non-technical stakeholders.
  • Excellent troubleshooting and problem-solving abilities.
  • Exceptional communication and interpersonal skills.
  • Ability to work independently and manage multiple projects simultaneously.
  • Lead and manage the implementation of the solution for new customers, ensuring a smooth transition from sales to deployment.
  • Develop and manage project plans, timelines, and milestones for customer implementations. Track progress and ensure timely delivery of projects.
  • Partner with Customer Success Managers (CSMs), Product, Engineering, and Support teams to ensure all customer requirements are met, with proactive communication and coordination.
  • Provide expert technical advice and best practices to customers to guide them through integration and adoption. Understand customer environments and tailor implementations accordingly.
  • Address and resolve technical issues during implementation phases, collaborating with engineering and support teams when necessary.
  • Provide training to customers on best practices, product features, and technical workflows. Create and maintain technical documentation to ensure the customer can easily manage and operate the solution.
  • Ensure successful handoff to the customer success team post-implementation, providing any additional support as needed for long-term customer satisfaction.
  • Gather feedback from customers on their implementation experience and work with internal teams to continuously improve processes, tools, and resources for future implementations.

Project ManagementSQLData AnalysisSnowflakeProject CoordinationCross-functional Team LeadershipCommunication SkillsAnalytical SkillsCollaborationCI/CDAgile methodologiesRESTful APIsTroubleshootingData visualizationStakeholder managementTechnical supportSoftware EngineeringData analyticsCustomer supportCustomer SuccessSaaS

Posted 1 day ago
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