Skip to content

Open nowPosted 2 days ago

Data Engineer (M/F/D)

VELUX North America112 open roles

Where
ul. Domaniewska 34a, Warszawa
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData Engineer (M/F/D)VELUX North America · ul. Domaniewska 34a, Warszawa
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on VELUX North America's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.6% of postings close within 7 days. Measured by our own scanner across the market. VELUX North America postings stay open a median of 48 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 13.6%7 days
  4. 21.9%14 days
  5. 36.9%30 days
  6. 59.0%60 days
This job: posted 2 days ago

VELUX North America median: 48 days open

The posting

We are currently looking for three new members to join our Data Engineering team. Depending on your experience and skills, you can join us at Junior, Mid or Senior level.

As a Data Engineer at VELUX, you design, build and maintain the data pipelines and data models that teams across the company depend on to run the business. You also work directly with the business teams that use what you build.

Meet your future team:

Our team is based across Warsaw and Hørsholm and consists of 8 members. We work in English and are an international, open-minded and results-driven team that embraces change. We value open and direct communication, transparency and collaboration. We keep communication focused, practical and to the point.

Your responsibilities:

At VELUX, we are moving away from a centralised data model towards an approach where data ownership is embedded across the business. Teams in Sales, Marketing, Supply & Operations and other areas are taking responsibility for their own data products, following the standards and guidelines defined and maintained by our team. This approach is known as data mesh.

The data pipelines and source data you will be responsible for form the foundation on which these teams build and develop their data products.

Our data platform, Reflect, is built on Snowflake and dbt. We use GitHub for version control, pull request reviews and CI/CD, while Prefect and Azure Data Factory support our data ingestion processes. Our engineers also work with AI coding agents such as Claude Code and Codex as part of their everyday workflow.

In this role, you will:

  • Design, build and maintain in Prefect reliable data pipelines from source systems incl. databases, APIs and external data providers
  • Build data products in Snowflake with dbt, from the staging layer to the reporting models that the business uses. Tests, documentation and freshness checks are part of this work
  • Find and correct pipeline failures, test failures and performance problems, and reduce the number of repeat failures
  • Build your data products inside our common framework. Contribute to the framework proposing changes to established standards and innovating the way we are delivering data platform to business domains in the data mesh approach
  • Review pull requests and documentation from colleagues and from developers in the business domains
  • Take ownership of the workstreams in our 2027 roadmap

What you will bring to the organization:

  • Advanced SQL and Python skills
  • Production experience with dbt or a similar data engineering tool
  • Full fluency in spoken and written English
  • Good communication skills

The following would be an advantage:

  • Daily experience working with a cloud data warehouse such as Snowflake or an equivalent platform
  • Production experience with dbt, including an understanding of models, layers, tests and metadata
  • Production experience with Prefect, including an understanding of schedules, retries, backfills and the analysis of failed runs
  • Experience working with non-engineers who build and deliver their own data solutions, for example, analysts who write their own queries or reports
  • Experience identifying manual tasks in data engineering workflows and automating them
  • Experience with AI coding environments such as Claude Code or Codex

Our offer:

  • Cooperation based on trust and respect for the employee
  • Annual bonus
  • Employee Pension Scheme, paid in full by the employer
  • Well-being package: Multisport card or holiday subsidy, life insurance, lunch card and gift cards
  • Private medical care, with telemedicine and rehabilitation
  • Support from the Employee Foundation
  • Hybrid work 3 days in the office
  • Flexible working hours
  • Modern office with daylight, fresh air and high-quality equipment. Parking spaces for employees
  • Massages in the office
  • Referral programme
  • Employee discount on VELUX products

Ready to apply?

Learn more about the VELUX Group online at www.velux.com where you can read more about working at our company and what to expect of our recruitment process.

We look forward to receiving your application and CV as soon as possible. We are conducting interviews on an ongoing basis until we have the right match.

All inquiries will be treated confidentially.

About VELUX

In the VELUX Group, we offer you a world of opportunities and the chance to create a bright future. From the forefront of the roof window category, we enable those who live, work and play under the roof transform their spaces and live a healthier everyday life with more daylight and fresh air.

The VELUX Group is an international, family-owned business with strong financial roots and each year we can create real impact by reinvesting in society, our employees and planet through our foundations. With 20 production companies in 12 countries and sales companies in 37 countries, our products are widely available. We employ around 12,000 people, and our company is headquartered in Denmark. Alongside the rest of our values, “courage” and “mutual respect” define our actions every day and how we wish to contribute to the world.

Equal Opportunity Employer

At VELUX, we believe in fostering a diverse workplace for everyone to thrive, develop, and perform at their best, and where you feel welcome, respected, and valued. We are committed to providing equal opportunities for all - whether you are applying for a role or already a part of VELUX. That means we recruit, hire, train, and promote people based on their skills and potential without regard to race, color, religion, sex, age, neurodiversity, disability, protected veteran status, national origin, sexual orientation or any other basis prohibited by applicable law.

We value diversity and strive to ensure that our employment decisions are fair and inclusive, focusing only on what truly matters: your qualifications and how you can contribute to our shared mission and success.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against VELUX North America's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on VELUX North America's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    VELUX North America's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.