Senior Data Engineer

16 minutes ago
Full-time
Senior
Software Development
Bluefish

Bluefish

Bluefish is an AI marketing platform tailored for enterprise brands, helping them manage their visibility in AI-generated search results. Founded by a team of seasoned professionals in advertising technology, Bluefish aims to assist brands in understanding and influencing their representation across major AI systems. The company has successfully raised $23.5 million in funding to support its mission. The platform offers several key capabilities, including AI monitoring and visibility, performance optimization, and measurement and analytics. It analyzes AI responses from systems like ChatGPT and Google AI, providing insights into brand representation and sentiment. Marketers can optimize their content strategies and track the effectiveness of their campaigns against custom KPIs. Additionally, Bluefish integrates AI commerce solutions to connect marketing efforts with sales outcomes. With a client base that includes many Fortune 500 companies, Bluefish is positioned to support brands across various industries, including financial services, consumer goods, and travel. The company focuses on generative engine optimization, allowing businesses to adapt to the evolving landscape of AI-driven consumer discovery.

information technology & services
51-200
Founded 2024
$20M raised

Description

  • Design, build, and maintain scalable data pipelines that ingest, transform, and validate large volumes of data from multiple sources.
  • Improve the scalability, reliability, and performance of data pipelines to support rapidly growing workloads and new data streams.
  • Contribute to the design and implementation of the company’s Data Lake architecture.
  • Manage and optimize data ingestion workflows from web scrapers, third-party vendors, and internal systems.
  • Monitor pipeline health, investigate incidents, and implement improvements to increase reliability and observability.
  • Support the onboarding and integration of new AI channels and data sources into the platform.
  • Collaborate with engineering, product, go-to-market, and other teams to ensure data can be reused for analytics and business intelligence.
  • Identify and resolve performance bottlenecks in distributed systems, including rate limiting, concurrency, and throughput constraints.
  • Advise teams on data architecture, data quality, and best practices for scalable data workflows.
  • Continuously evaluate and improve the data platform to support company growth and evolving product needs.

Requirements

  • Strong experience building and operating scalable data pipelines in production environments.
  • Hands-on experience with Data Lakes or Data Warehouses, such as AWS Athena or similar technologies.
  • Experience with data transformation and modeling.
  • Strong experience working with AWS.
  • Experience using Infrastructure-as-Code tools to manage cloud infrastructure.
  • Proficiency in Python for data processing and automation.
  • Experience working with distributed systems and managing large-scale data workflows.
  • Experience implementing monitoring, observability, and incident response practices for data systems.
  • Experience with large-scale web scraping or external data ingestion systems is preferred.
  • Experience supporting systems with rapidly increasing traffic or data volume is preferred.

Benefits

  • Remote role in Germany.
  • Opportunity to join a fast-moving startup building at the center of AI.
  • Immediate ownership and impact on a high-growth platform.
  • Work with an experienced, high-performing team.
  • Significant career growth upside as the business scales.

Interested in this position?

Apply directly on the company website

Apply Now

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