A data engineer makes sure every report, feature and model reads the same numbers

If the numbers people already use are late or disputed, the data engineer. An analyst turns tables into answers, and a data scientist builds models on them; both depend on tables that exist, stay current and mean one thing. With one database and a couple of tools, a strong analyst may cope alone for a while. Once extracts take longer than questions, the engineer pays off.

It depends on who runs the platform afterwards. Hire an engineer when your team sets the priorities and will own the pipelines day to day: the engineer joins your standups and works in your warehouse. Choose the data engineering service when you want a platform delivered against an agreed scope, with our team accountable for the result. Either way, the work starts from the numbers people rely on today.

Less often than teams first ask. Streaming costs more to run and is harder to debug than an hourly load, so the engineer starts by asking what someone would do differently if the number arrived within a minute. Fraud checks, stock levels and live operations screens usually qualify; weekly planning rarely does, and an hourly batch is often enough.

Start from the cloud you already run on, then your query patterns, because each bills differently: Snowflake charges credits while a warehouse runs, BigQuery on demand charges for the bytes each query scans, and Databricks charges for the compute you use. Replaying a week of your real queries on the closest two shows the cost gap better than any feature list.

Yes, up to the features. The data engineer builds the tested tables and the history that training reads, including a snapshot of what was known on each past date, so a model never learns from the future. Which features the model uses and how labels are defined stay with the ML engineer, and the two agree the tables between them.

Through tests you can read. Every published table carries checks on uniqueness, nulls, ranges and freshness, and key totals are reconciled with the source system on each run. When a check fails, the run stops and the table keeps the last good data instead of showing a half-built day, and the alert goes to a named owner.

Read access to the source systems, an account to build the warehouse in, and a short list of the numbers people already rely on. The first tables are built for that list, so the figures already in daily use are right before new sources are added. A named person on your side who can settle what a metric means saves weeks.

Build your dashboards for you, as a rule. The engineer delivers tested tables and metric definitions; the charts belong with the analysts and teams who read them, because they know which question each one answers. Where no analyst exists yet, the engineer can set up the first few, but we will say plainly when an analyst would serve you better.

Yes. Many clients start with one senior engineer to cover a specific capability or capacity gap, then add specialists only when the roadmap requires them.

Yes. Adding an engineer follows the same route as the first, and you interview them. Reducing the team follows the notice period agreed in the contract, and the work is handed over in your repository before anyone leaves.

Yes. You manage priorities and day-to-day work directly, in your own channels and delivery process.

Yes. You interview every candidate using your own process and make the final decision about who joins the team.

Our engineers are ImproveIT employees and long-term contractors working through our teams in Poland and Ukraine. We are not a freelance marketplace and do not resell developers from other vendors.

Replacement terms are defined in the contract upfront, so it does not become a negotiation.

You do. IP assignment is included in the contract, and we can sign an NDA before discussing the project.

We sign an NDA before discussing the project, and confidentiality and IP assignment are part of the contract. Engineers work in your repositories, cloud accounts and tools with the access your team grants, so you can narrow or revoke it at any time.

Yes. Our engineers work with teams across Europe and the US. We agree the required working-hour overlap before matching candidates.

Our developers work in English with international product and engineering teams every day. English level is included in the candidate information you receive before the interview.

Rates depend on the role, seniority, experience, and engagement model. You receive the rate, availability, and candidate profile in writing before making any commitment.

Both are agreed before the engagement starts and included in the proposal and contract. We are flexible in that and usually agree on the terms suitable for a client.