The best Data Engineering newsletters

Long-form articles on AI engineering, covering topics such as monitoring LLM systems, evaluating agentic systems and context engineering. Posts explain concepts mechanically, include diagrams, and are occasionally paired with workshops run by the author.

A weekly roundup of data engineering articles, open-source releases and company engineering write-ups, each with a short editorial comment, plus occasional long-form essays on topics such as AI agents and orchestration. Readers get a curated view of current practice in data platforms, lakehouse formats and AI-era data infrastructure.

A data engineer shares practical thoughts on AI's impact on coding and data work, along with announcements of free and paid learning resources like a SQL handbook and AI career roadmaps. Readers get candid personal reflections on using AI in engineering and frameworks for assessing job tasks.

Career and learning guidance for data engineers, written by a practitioner with big tech experience at Netflix and Airbnb. Issues cover promotion strategy from senior to staff, a level-by-level Databricks roadmap, and data warehouse practices.

A corporate engineering blog from OVO Energy covering software engineering, data platforms, sustainability in tech and diversity. Readers get first-person conference takeaways, team showcases and practical write-ups of how OVO implements tools such as data observability.

Engineering blog from Localytics covering practical solutions to big data and high-throughput systems problems. Posts include a GDPR right-to-be-forgotten filter built with bloom filters on AWS, an exploration tool for diagnosing complex systems, and open-source infrastructure-as-code tooling for AWS.

A personal, conversational data engineering newsletter covering tools like DuckDB, Arrow Flight, and Delta Kernel, with hands-on Rust experiments. Readers also get sponsored series on customer data platforms and promotion of data events, alongside the author's reflections on AI and staying sharp as an engineer.

A weekly curated list of links covering data science, machine learning, AI, data visualization and data engineering. Each issue highlights a few editor's picks, such as tool releases, statistical critiques and data-driven essays, with short excerpts and a sponsor message.

Ben, a data engineering leader, shares practical reflections on data project decisions such as avoiding problem substitution, questioning real-time data requirements, and focusing on business why over technical how. The newsletter mixes general advice with frequent promotion of his consulting firm and sponsored tools.

Official changelog for the Keboola data platform, announcing platform changes such as removing email sharing of Storage API tokens, a faster-starting default app image, and a new shared team memory feature for the Kai assistant. It tells readers what changes, what they must do, and how to test or pin app versions.

This newsletter from Optimize Smart covers Google Analytics 4 and Google Tag Manager consulting, with issue topics on attribution conversion windows, the GA4 BigQuery export schema, and how ecommerce events are recorded in BigQuery. The sample consists only of topic titles without substantive explanatory text, so readers get little beyond a list of subjects and a link to the consultancy's services.