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Open nowPosted 10 hours ago

Data Engineer

LoopMe

Where
Kraków, Lesser Poland Voivodeship, Poland
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Your applicationOpen nowData EngineerLoopMe · Kraków, Lesser Poland Voivodeship, Poland

  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 LoopMe's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 10 hours ago

The posting

LoopMe is an AI company solving one of advertising’s hardest problems: making brand advertising actually measurable, and making it perform. Our platform runs patented machine learning models across billions of consumer signals in real time, optimising campaigns toward outcomes like purchase intent, brand lift, and foot traffic rather than proxy metrics like clicks. The result is 2–5x better performance than industry benchmarks, at scale.

We operate a high-load programmatic infrastructure, processing millions of ad requests per second with sub-200ms response times globally. This isn’t a layer on top of someone else’s stack; it’s built from the ground up, in-house, by the team you’d be joining. Founded in 2012 and headquartered in London, we now have 400+ people across 19 cities and have sustained 40% revenue CAGR since 2018. The engineering problems here are real, the ownership is genuine, and the scale is significant.

The opportunity

You own the build and ongoing maintenance of our internal data lakehouse, giving our users the data they need to make better-informed, data-driven decisions. Today our data lives across BigQuery, Clickhouse, Postgres, and Elastic Search, and internal users rely on product reporting or ad hoc extracts in Rill, Tableau, and Looker.

What you’ll do

  • Own the build and maintenance of our internal data lakehouse.
  • Partner with our Product team to identify the core platform data that Finance and Business Development need.
  • Analyse and organise raw data from our different sources.
  • Build and maintain the data pipeline architecture that exposes data from our databases into our visualisation tools.
  • Develop data systems and pipelines that keep data efficiently updated.
  • Improve data quality and reliability.
  • Partner with other engineers to maintain our tooling and pipelines.

What you’ll bring

Essential

  • You bring 3+ years of experience in a data engineering role.
  • You bring experience with database technologies including BigQuery, Clickhouse, and Postgres.
  • You bring technical expertise with data models, data mining, and segmentation techniques.
  • You bring experience with Airflow and/or dbt.
  • You bring experience with cloud-based technologies running on GCS and/or AWS.

Nice to have

  • Experience with Snowflake
  • Analytical skills for working with unstructured datasets

What we offer

Hybrid working — flexible schedule · 1 month work-from-anywhere · Annual performance bonus · Multikafeteria (sport/culture card) · LoopMe Gives Back · Learning & development support

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  1. A CV for this posting

    Written against LoopMe'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 LoopMe'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

    LoopMe'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

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