English for Remote IT Teams in Europe: A Practical Guide for Distributed Companies

A developer in Belgrade, a QA engineer in Tbilisi, a product lead in Berlin, all on the same team, all working in English, none of them in the same room. This is an ordinary setup now, not an edge case. Over the past few years a large share of Europe's tech workforce has spread out across the continent, and teams that once shared an office now share a Slack channel and a video call.

The shared working language for most of these teams is English. What surprises a lot of companies is where the friction actually lands: not in whether people "know English," but in whether they can communicate well in the specific situations the work throws at them. That gap has a real operational cost, and it grows with distance.

This guide is about that gap: what it looks like, why a standard business English course doesn’t close it, and how distributed teams across Serbia, Cyprus, Georgia, Armenia, Germany, Portugal and Poland build the English their work actually needs.

The movement of tech talent across Europe hasn’t spread evenly. A handful of countries have absorbed most of it, and each has its own character.

Serbia became a hub quickly. Thousands of tech companies have registered there in recent years, and large employers like Yandex and Luxoft opened offices in Belgrade. Belgrade and Novi Sad now hold dense communities of engineers, many working for companies headquartered somewhere else entirely.

Georgia grew the fastest. Its count of IT companies went from under 2,000 in 2020 to more than 24,000 by 2024, most of them now internationally owned. Tbilisi became a working tech hub in about three years, which is unusually quick.

Armenia took a large early wave, with companies like Miro and Yandex opening in Yerevan. Some of that population has since moved further west, which is its own pattern worth watching.

Cyprus sits at the premium end, a long-standing home for tech holding companies and now a base for teams that want an EU jurisdiction with an English-friendly business setup and expat infrastructure already in place.

More recently the movement has continued into the EU proper. Germany launched its Opportunity Card in 2024 to pull in skilled workers, tech included. Portugal saw foreign tech workers grow 42% between 2021 and 2024 (Eurostat), with most landing in Lisbon and Porto. Poland keeps drawing people into Warsaw and Krakow. Companies across the region recruit this talent actively, so movement between countries hasn’t slowed.

Here’s why that matters for training. One company’s QA team might be in Belgrade, its backend people in Tbilisi, its product lead in Berlin. Same company, same English-language work, three countries. Whatever training they do has to survive that spread instead of assuming a shared office.

Standard corporate English courses were designed for a different person: someone who needs to get through meetings, emails and small talk in English. Helpful, but beside the point for a distributed engineering team.

What actually trips these teams up is narrow and tied to the work. A developer has to explain a blocker in a stand-up so the team can act on it, not just report "I am working on task." A QA engineer has to write a bug report a colleague in another timezone can reproduce without asking anything back, because that one follow-up question burns a day. A team lead has to run a retrospective where people raise real problems, in their second language, without the room going stiff. A business correspondence course doesn’t go near any of this.

Distance makes it worse. In one office, a confusing message gets sorted out in thirty seconds at someone’s desk. Split the team between Yerevan, Warsaw and Lisbon and the same message becomes a thread, then a delay, then occasionally a wrong assumption nobody catches until two days later. The more spread out the team, the more each message has to stand on its own. The English that counts here is the English of the workflow.

It’s more useful to plan training by role than by general English level, because the conversations differ so much from one role to the next.

For software engineers the load sits in stand-ups, code review comments and architecture discussions, plus the odd client call. The genuinely awkward bit is explaining a technical trade-off to someone who wasn’t inside your reasoning when you made the call.

QA engineers communicate constantly, and a lot of it is delicate. Bug reports, test scenario discussions, retrospectives, and the moment you tell a developer their code is broken when they’d rather you didn’t. That last one needs clarity and tact at the same time.

DevOps people get the worst timing. Their hardest conversations happen mid-incident: status updates, postmortems, on-call handoffs, all in English, usually with a clock running and a real cost to being misunderstood.

Product and engineering managers spend the day aligning people who don’t naturally agree, through stakeholder updates, roadmap walkthroughs, one-to-ones, and cross-functional discussions where product, dev and QA already speak different dialects before anyone adds a second language.

Train each role on the conversations it actually has and the English shows up in the working day. Train it on a generic syllabus and it mostly stays in the classroom.

A few situations recur across every role and quietly decide how well a distributed team works together. Stand-ups need brevity, the whole update in under thirty seconds. Jira tickets need to be clear to a stranger in another country who can’t tap you on the shoulder. Retrospectives need someone willing to name a problem and suggest a fix without it sounding like an accusation, which is hard work in a second language. Architecture reviews turn on explaining trade-offs. Incident calls turn on staying calm and structured while something is broken. Client demos turn on making a technical decision make sense to someone non-technical.

All of these can be practised directly. A team can run a mock retrospective, drill stand-up updates until they’re fast, and rehearse the wording of a disagreement before they’re in one.

As AI tools absorb more of the routine work in software, the parts left to people lean harder on communication. AI generates tests, suggests fixes and drafts code. It doesn’t sit in a retrospective, align three teams on a roadmap, or keep a client calm during an incident. What stays human is mostly the work that runs on clear English.

Worth factoring into a training budget: the skills hardest to automate, explaining, persuading, aligning, disagreeing without a fight, are the same ones a role-specific English programme is built to develop.

UnifyHub is an online English school set up for exactly this. We work with remote and distributed IT teams across Serbia, Cyprus, Georgia, Armenia, Germany, Portugal and Poland, and since lessons are online, a team spread across several of those countries joins the same session.

Lessons follow the role and the real workflows, not a generic textbook. Most teams learn in small groups of two to four, which is good for practising shared situations like a mock retrospective or a triage call; for individual gaps we run one-to-one sessions instead. Teachers are certified international instructors. Managers get a monthly progress report with CEFR benchmarks, so progress across a scattered team is something you can see rather than guess at.

We’re based in Estonia and work with teams Europe-wide. After a few months, the teams we work with usually write clearer tickets, run quicker stand-ups, and speak up more in meetings. For a distributed team, that’s most of the battle.