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Open nowPosted 34 days ago

Data Engineer

helu1 open role

Where
Austria
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Your applicationOpen nowData Engineerhelu · Austria

  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 helu's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 34 days ago

The posting

Your mission

We are looking for a Data Engineer who enjoys building reliable data pipelines. You will help design and operate scalable ELT processes that power analytics, reporting, and core product features.

You are comfortable working with Python, SQL and AWS, understand modern data architecture patterns, and care about data quality, performance, and maintainability.

Your responsibilities

  • Design, build and maintain scalable ELT pipelines.
  • Implement and operate data workflows using AWS (Lambda, Step Functions, S3, Batch, etc.).
  • Contribute to the evolution of our Data Platform architecture (Medallion architecture).
  • Ensure data quality, consistency, and reliability across pipelines.
  • Optimize data transformations for performance and cost efficiency.
  • Collaborate with Backend and Frontend Engineers and Product to define data requirements.
  • Monitor pipelines, troubleshoot issues and improve observability.
  • Document data models, transformations and architecture decisions.

Your skills

  • Strong Python skills for data processing (ideally familiar with Polars or PySpark)..
  • Experience building ETL/ELT pipelines in production environments.
  • Solid experience with Cloud services - ideally AWS.
  • Understanding of Medallion Architecture.
  • Strong SQL skills and experience with dimensional data modeling.
  • Experience working with structured and semi-structured data (JSON, CSV, Parquet, APIs).
  • Understanding of data validation and data quality practices.
  • Experience with Git and CI/CD.

Nice to have

  • Experience with columnar databases (e.g. ClickHouse, Redshift, BigQuery).
  • Familiarity with infrastructure-as-code (e.g. Terraform).
  • Experience with Docker.

You can expect:

  • Being part of a highly motivated international team.
  • High ownership and responsibility for your domain.
  • A modern data stack and room to shape architecture decisions.
  • A workplace in the heart of Vienna or remote options with quarterly office weeks in Vienna Helu.io.
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  1. A CV for this posting

    Written against helu'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 helu's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

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

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  5. Reply with AI

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  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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Why it works

3×

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  • Who got the interview, and who heard nothing

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