A newsletter for senior data engineers navigating the move into AI. The technical discipline on Tuesdays, the labor market on Saturdays.

This is a newsletter for senior data engineers and developers who are watching the industry around them shift fast, and want a clear, honest, and unhurried take on what to do about it.

I write it for two particular kinds of readers. The first is someone who has been around long enough to see two or three waves of the next big thing, has been laid off recently, or is watching the numbers and wondering whether they need to start over. The second is someone earlier in the journey, trying to break into the kinds of roles AI is now reshaping. The work published here is meant to be useful to both.

I am Roland Wenzlofsky. For two decades, I have been known in the data warehousing world as the Teradata guy. The main DWHPro site at dwhpro.com stays exactly where it is, every article in place. This newsletter is the broader companion, the same hands-on perspective applied to a wider set of questions about where the work is going. Twenty years of watching this industry restructure itself do not give me certainty about how the current AI shift will play out, but I would rather think it through openly with people who are also doing the work than pretend the shift is not happening.

The newsletter serves senior data engineers on both sides of the Atlantic. I write from Vienna, which is where I see the market most directly, but the patterns that govern it are the same patterns now reshaping the American market. The technical discipline is identical in either geography. The labour market is geographically specific in the details, but the framework for reading postings, decoding what employers actually want, and positioning yourself for a transition travels cleanly across the Atlantic. American readers get the framework and the signal; European readers get the framework, the signal, and the specifics.

The newsletter ships two issues per week, with the two halves of the work running in parallel.

Tuesdays are for the technical discipline. Each Tuesday issue covers a piece of the engineering knowledge that distinguishes a senior data engineer with no AI experience from a senior data engineer who can credibly own LLM and agent systems in production. The current arc walks through the move from traditional software testing to LLM evaluation, observability, agent architecture, trajectory analysis, evaluation-driven development, and the production practices that hold it all together. It is not an introduction to AI. It is the bridge that takes deterministic systems expertise into LLM systems expertise, written for the reader who is already past the basics and wants the engineering discipline.

Saturdays are for the labor, market. Each Saturday issue is the longer-form piece you sit down with on a weekend. Carefully edited, opinionated, written to be read with a coffee, not skimmed on the move. The subject matter sits at the intersection of three areas: data engineering and enterprise data architecture (Teradata, Snowflake, Databricks, the platforms organisations actually run on); the current AI transition (which roles are real, which skills transfer, which paths are walkable for experienced practitioners and for newcomers); and project and market realities (how the job market is moving, where billing rates are landing, what seniors are being asked to do and what newcomers are being asked to prove). Saturday issues include decoded job postings, market intelligence, rate observations, and the moves I would make if I were in your shoes.

The two streams reinforce each other. The Tuesday content makes you a stronger candidate for the roles Saturday is helping you find. The Saturday content tells you where to deploy the skills that Tuesday is helping you build. A reader who reads only Tuesdays gets a real engineering education. A reader who reads only Saturdays gets a real read on the market. A reader who reads both gets the thing the senior data engineering market has been missing: a coherent path from the career you have today to the career the market is paying for in 2026 and beyond.

DWHPro Letters is free. Some essays are public, and some may ask readers to subscribe so the newsletter can keep a direct relationship with its audience. Subscription is free.

Roland Wenzlofsky