How to Set Salary Bands for a Distributed Engineering Team in Europe

How to Set Salary Bands for a Distributed Engineering Team in Europe

Pick one model, write down the rule, and apply it the same way to everyone. The three realistic options are a single rate for the whole team, one anchor rate adjusted by a published location factor, or a separate band per market. All three work. What breaks a distributed team is a different approach for each hire — two engineers at the same level who discover a sizeable gap that neither of them can explain.

Below is how each model behaves in practice across European markets, where to get numbers you can defend, and the decisions that only show up eighteen months in.

Decide the level before you decide the money

If you do not have a leveling framework, salary bands are just a list of numbers you will argue about. You need four to six engineering levels with written expectations — scope of work, how much supervision, what the person is accountable for — before any band means anything.

This matters more in a distributed team than a colocated one. When everyone is in one office, level is calibrated informally: people see who is doing what. When your senior engineers are in Warsaw, Lisbon and Istanbul and your hiring manager is in Amsterdam, "senior" drifts. Markets have different title inflation. A title that means years of genuine ownership in one market can mean a promotion given instead of a raise in another. If you anchor pay to titles from candidates' CVs, you import that drift straight into your payroll.

So: define levels in behaviors, calibrate new hires against engineers you already have, and only then look at a number.

The three models, and what each one costs you

One global rate. Everyone at a given level earns the same, usually benchmarked to a high-cost market. It is the easiest policy to explain and the easiest to administer. It also means you will pay well above local market in several countries and still be under market in Zurich or London. For a small team, the premium can be worth it — recruiting is faster, nobody negotiates on geography, and retention in lower-cost markets becomes a non-issue. As headcount grows, the math usually stops working.

The hidden cost is not the money. It is that paying far above local market makes those engineers very hard to lose and very hard to let go. Performance management gets softer because nobody wants to push someone out of a job they will never match locally.

Anchor plus location factor. You set bands for one anchor market, then apply a published adjustment per country. This is the most common model and the most defensible, provided you are honest about what the factor represents. Base it on cost of labor — what engineers of that level actually earn there — not cost of living. Cost-of-living indices are built from rent and groceries, and they do not track the price of a backend engineer with distributed systems experience, which is set by whoever else is hiring in that city, including US companies hiring remotely.

Market rate per country. Each market gets its own band from its own data. Most accurate, most work, and the hardest to keep consistent when you have one engineer in a country where you have no benchmark at all.

Whichever you choose, publish the mechanism internally even if you do not publish individual bands. Engineers accept a location factor far more readily than they accept an unexplained gap, and they will reconstruct the gap anyway from a leaked offer or a conversation at an offsite.

Where the numbers come from

Public salary aggregators are a starting point and nothing more. They are self-reported, skewed toward whoever bothers to fill in a form, usually mix contractor day rates into employee salaries, and lag the market in fast-moving segments.

Better sources, in rough order of reliability:

  • Your own offer data. Every offer you made in the last twelve months, whether accepted or declined, with the level, the market, and the outcome. Declined offers are the most valuable data you own. If several senior candidates in Munich declined at the top of your band, your band is wrong, not the candidates.
  • Counteroffer and competing-offer numbers from candidates in late-stage processes. Treat them skeptically but record them. The pattern across a dozen candidates is informative even if any one number is inflated.
  • Recruiters working that market daily. A specialist running technical and specialist hiring in a given country sees real closes every week — a much tighter sample than any public dataset, and current.
  • Formal survey data from a compensation provider, if your headcount justifies the cost. Accurate, expensive, and typically thin in smaller markets.

Build your band from at least two sources and write down which one you used. In a year, when someone asks why the Lisbon senior band moved, you want the answer to be a source and a date.

Currency, inflation, and the countries that break your spreadsheet

A band denominated in euros behaves very differently in a eurozone country than in Poland, Romania, Turkey or the UK. Two things move independently: the exchange rate and local wage inflation. They do not move together, and they do not move in your favor on any predictable schedule.

The practical choice is whether the employee carries that risk or you do. If you pay a fixed local-currency amount and the currency weakens sharply, your cost drops and your engineer's real pay falls — and they will start looking. If you pay a euro-pegged amount, your cost rises with every move in the rate, and in a high-inflation market you may still fall behind local wage growth, because local salaries there can inflate faster than the currency depreciates.

In markets with persistent high inflation — Turkey is the clearest European example — annual reviews are not enough. Local employers there run semi-annual or even more frequent adjustments, and a foreign employer reviewing once a year will be visibly behind well before the next cycle. Decide your review cadence per market rather than globally, and tell people what the cadence is. The commitment to review is worth more than the size of any single increase.

If you are running a larger offshore or nearshore group, this is one of the strongest arguments for a partner who handles dedicated team setup and ongoing operations locally — the adjustment cycle, the benchmarking and the retention conversation are handled in-market rather than inferred from a headquarters spreadsheet.

When someone moves countries

This will happen, and it is the question your policy must answer before it comes up.

The three defensible positions are: pay follows location immediately, pay is frozen until the band catches up, or pay does not change at all. Pick one. The worst outcome is handling it case by case, because the first engineer who moves from Berlin to Valencia and keeps their full salary sets precedent for everyone, and the second one who is cut will tell the whole team.

A practical middle path: if someone relocates to a lower-cost market, hold their salary flat and let future band increases absorb the difference. Nobody takes a pay cut, the gap closes over a few review cycles, and the policy is simple enough to say out loud. Note that relocation also changes employment law, payroll and tax obligations — a move that looks like an HR decision often requires a new employment arrangement entirely.

Keep the structure in a system, not a spreadsheet

Bands drift because they live in a file that one person updates. Once you are past a few dozen people in more than two countries, put levels, bands, effective dates and exceptions into your HRIS so that every offer is generated against the current structure, and so you can run the one report that matters: pay against band midpoint, by level, by market, by gender, by tenure. That report surfaces the problems — the long-tenured engineer who has fallen below the band they helped define, the market where every new hire lands at the top because the band is stale — long before anyone resigns over them. Teams that have not made that transition yet usually benefit from a short review of their HR tooling and data model before adding another market.

The failure modes worth naming

  • Negotiation-driven pay. If the final number depends mostly on how hard someone pushed, you have no bands, and you have built a structural gap that correlates with confidence rather than contribution.
  • Bands set once and never revisited. A band that was right eighteen months ago is now either losing you candidates or overpaying new hires relative to the team you already have.
  • Benchmarking against the wrong competitors. Your competition for an engineer in Kraków is not the other local product company. It is every remote-first employer hiring into Poland, including ones paying Western European rates.
  • Treating total compensation as base salary. Equity, bonus structures, pension contributions and employer-side costs differ enormously by country. Compare like with like, and tell candidates what the whole package is worth in terms they can verify locally.
  • Secrecy as a strategy. You do not have to publish individual salaries. You do have to be able to explain, in two sentences, why two people are paid differently. If you cannot, that is the problem — not the fact that someone asked.

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