Berlin job listings jumped 21% after Pegel added 66 companies.

On August 30, Pegel's daily snapshot held 2,342 active Berlin listings. On August 31, it held 2,838. Another 496 listings, a 21.2 percent increase in a day.

Pegel had added 66 companies.

Their registry records were created within three seconds, at 12:52 UTC on August 31. The batch includes Zalando and Airbnb, alongside Theion and Nuventura. The daily tracked-company count went from 408 to 474. That count describes Pegel's coverage, not the number of employers that opened a role that day.

A bigger board is useful if you are looking for work. It makes the chart harder to read if you are looking for a change in the market.

Most of the dated Berlin job listings were already there

At 08:03 UTC on September 14, the batch had 455 active Berlin listings. Of those, 410 had a posting date supplied by the ATS. The other 45 had no date.

Of the 410 dated listings, 337 (82.2 percent) carried a date before August 31. The median date was July 23.

Those are the listings still active at the time of this check. They are not a reconstruction of the batch on the day Pegel added it. Listings may have closed since then; new ones may have appeared. An ATS date can also reflect a repost or an update, so Pegel cannot use it as a precise measure of a vacancy's age.

Still, most of the dated listings in this sample predate the registry addition. New to Pegel did not mean newly posted.

Berlin's official jobs data counts something else

The Federal Employment Agency's August 2026 Berlin report, published on August 28, records 5,723 newly reported positions in Berlin. That was 10.2 percent more than in July and 13.7 percent more than a year earlier. The agency identifies public administration as a particular source of the increase in Berlin.

Those figures cover positions reported to employment agencies and jobcentres across Berlin's economy. They count an inflow during the reporting month. Pegel's 2,838 is the stock of active listings on one curated board at a daily snapshot. Dividing one by the other would not give a valid basis for estimating market coverage. The percentage changes are not competing readings of the same thing.

There was movement in the official series. Pegel's chart alone cannot show how much of it reached Berlin startups.

The no-German share depends on which employers Pegel counts

In the August post about the no-German share, Pegel compared July 15 with August 24. The post stated that the company list had stayed constant over that window. That was a claim about those dates. It cannot be carried forward through the August 31 addition.

The saved daily figures show the no-German share moving from 54.44 percent on August 30 (1,274 of 2,340 classified listings) to 55.36 percent on August 31 (1,565 of 2,827). Calculated from the unrounded shares, that is a 0.91 percentage-point increase. The two snapshots also contain 2 and 11 unclassified listings respectively, excluded from those percentages.

Pegel cannot assign the whole increase to the batch. These are whole-board snapshots. Other employers' listings could change on the same day, and language classifications could change too. The September 14 sample does not establish the batch's exact language mix on August 31.

German requirements and salary disclosure in the new batch

On September 14, the batch had 272 listings classified as needing no German and 182 as requiring it. One remained unknown. The no-German share was therefore 59.9 percent of 454 classified listings.

The rest of the board had 1,289 no-German listings out of 2,365 classified listings, or 54.5 percent, with none unclassified in this capture. Including the batch brings the combined share to 55.4 percent. That comparison holds the rest of the current sample fixed. It measures composition today, not the cause of a change two weeks ago.

Salary disclosure uses all active listings as its denominator. Pegel had an extracted salary bound on 28 of the batch's 455 listings (6.2 percent), compared with 193 of 2,365 elsewhere (8.2 percent). The combined rate was 7.8 percent. In this sample, including the batch raises the no-German share and lowers the recorded salary-disclosure share.

A missing salary bound means Pegel has no extracted amount to show. It does not prove the employer omitted pay from every version of the listing.

Online job ads have a coverage problem

This is a wider problem than Pegel's registry addition. A December 2022 Cedefop working paper on online job advertisements compared European job-ad data with labour-force and vacancy surveys. Its authors found that higher-skilled occupations and more industrialised regions were overrepresented in the online ads. The paper also describes limitations in the survey benchmarks.

That study does not measure Pegel's bias or Berlin's current market. It gives a reason to check who enters a dataset before treating a change in it as a change in employment. In this case, the dated capture identifies all 66 companies.

What this means when looking for work in Berlin

Employer career pages are worth checking. In IAB's June 2026 analysis of recruitment channels, German employers reported using their own website in 70 percent of successful recruitment cases in 2025, and private internet job boards in 57 percent. Employers could use several routes for the same hire. These figures concern hires into employment subject to social insurance, excluding apprenticeships and marginal employment; they are not Berlin-only figures or application success rates.

Pegel reads public employer feeds to make those listings easier to find. If German is your constraint, the Berlin roles labelled no German required are a starting point. The label concerns the advertised requirement, not the language everyone uses at work. Open the employer's original application page before acting on a listing, especially an older one.

The board is part of the measurement

Pegel's company list is still expanding. Every addition can change the mix of roles, even if nothing changes on an employer's career page that afternoon.

The 496-listing increase is a net change across the board, not a count of roles contributed by the batch. Neither that increase nor the later sample establishes more hires or stronger demand in Berlin. A listing can also be an evergreen talent pool rather than a specific vacancy.

Pegel retains the dated aggregate capture and calculation definitions with this post. The August figures come from job_count_daily, which keeps one row per UTC day and overwrites that row as polls record new snapshots. The September figures come from one read of the current board at 08:03 UTC on September 14. Berlin means an active listing whose location contains "Berlin", matching Pegel's shared scope rule. The job-data methodology explains the wider limits; the Berlin startup job board will keep changing after this capture. External sources were checked on September 14, 2026; their reporting periods are stated alongside the figures.