Data Engineer

Let your career roar as a Data Engineer at Lionsville

Somebody has to make the data trustworthy before anything intelligent can be built on top of it. At Lionsville that is you — on systems where a wrong number is not a bad chart but a bad decision, taken live. Short lines to the people who decide, so what you find in the data changes the plan rather than filling a report.

What will you do?

You own the path from operational systems into platforms people act on — in maritime, logistics, industry and critical infrastructure, and across more than one customer and domain over time. The data is real, imperfect and arrives at awkward times. Making it dependable is the job.

You are an AI maestro

Writing the code is largely your agent's job. Yours is making sure the specs carry what the customer actually asked for, and that the agent has the context and the skills to deliver it. If you run out of tokens, ask for more — we would rather pay for the best tools than watch you type.

You turn feeds into contracts

You write the first data contract against real payloads rather than assumptions — event streams, scheduled extracts, database views and, yes, spreadsheets. You define what each field means, how fresh it is, where it came from, and what the platform is allowed to conclude from it. You measure before you model. Before anyone tunes an algorithm, you establish what the data actually says: volume by segment and time window, throughput, completeness, the gaps nobody mentioned. Your assessments become the baseline the whole plan is set against, and you are the one who says so in the room.

You build the pipelines

Extraction from systems that were never designed to be read from, transformation into models people can reason about, and orchestration that runs unattended. Incremental loads, idempotent reprocessing, backfills, and late or out-of-order data handled deliberately rather than discovered in production. You work across diverse stacks doing it: batch and streaming, SQL and NoSQL, warehouses and lakes, cloud-agnostic architectures — the major providers, and equally on-premises and European ones — with systems integrated through APIs and event-driven solutions. Which of those a project uses is a decision rather than a default, and you will be part of making it.

You make quality a first-class feature

A stale feed must be visible as stale, never as current. A missing critical input must stop a recommendation rather than degrade it quietly. You build the checks that make those rules real, the monitoring that shows the state of every feed at a glance, and you hold that bar when a deadline argues against it.

About Lionsville

We build software that runs real operations — maritime navigation, logistics hubs, critical infrastructure. A business tech boutique: we take on enterprise-critical problems from strategy through to execution, in small senior teams close to the customer. We work as a pride: we back each other, we say what we think, and we finish what we start.

What you bring to the pride

• Ownership, a bias to solutions, and clear communication. You work across organisational boundaries — the source systems are usually somebody else's — so you ask precise questions and you are easy to say yes to
• Strong architecture capability for data platforms — ingestion, storage and scheduling designed to be understood and changed by someone else, with the trade-offs written down rather than implied
• Deep data engineering — ETL and ELT, orchestration and scheduling, with SQL you are genuinely fluent in and real experience of streaming as well as batch. With it the judgement that only comes from having been burned: idempotency and replay, schema drift, and what a backfill actually costs. The tooling matters less than the depth
• Experience working agentically with AI — not curiosity about it, but a way of working you already have, and opinions about where it breaks down
• Complex data-model design, across SQL and NoSQL, with data contracts and schema versioning — and the discipline to treat a contract as a promise
• A real feel for data quality — staleness, completeness, silent drift. The curiosity to ask why a fifth of the records are missing a field everyone assumed was always populated, instead of filtering them out, and the honesty to say "we cannot conclude that from this data yet"
• Living in the Randstad and comfortable with occasional travel to customer sites. The work runs on English; Dutch is welcome, not required

What we offer

• A gross monthly salary between €4.600,- and €5.800.-
• Electric lease car or mobility allowance
• MacBook or Windows laptop
• Claude Code premium seat
• 25 vacation days and 8% holiday pay per year
• €4.000,- training budget per year
• An inspiring workplace at the Titaan (The Hague)
• Fun outings ranging from culinary delights, social and sporty activities to a family day

Ready to join the pride? Apply now