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Jobs · 100 data companies · refreshed every 6 hours

Data engineering jobs.

Roles fetched from the careers pages of companies that take data seriously. Each one read for the skills it asks, turned into a practice plan, and linked to the company's own apply page.

  • A plan with every job, not just a link.
  • Your readiness, drill by drill.
  • Nothing older than 14 days.
See the live rolesHow it works

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Data Engineer, Analytics Engineer, Data Platform and Data Architect roles. No relevance ranking.

Data Analytics Engineer (They/She/He)Mid

Delivery Hero · Barcelona, es

PythonGCPGovernance & securityDashboards & BIFailure handling8 d ago2–3 yrs

Delivery Hero · api.smartrecruiters.com · checked today

Data Analytics Engineer (They/She/He)

Barcelona, esMid2–3 yrsAnalytics Engineerposted 8 d ago

Skills, with evidence

  • Python
    Working proficiency in Python to support data analysis, automation and workflow improvements.must have
  • GCP
    Exposure to Google Cloud Platform, infrastructure/cost monitoring or governance.not practised here
  • Governance & security
    You will join Data Platform Enablement , the central team responsible for maintaining and governing Glovo's data tools, defining data governance standards and automating the processes that keep our data ecosystem trustworthy and efficient.not practised here
  • Dashboards & BI
    Help maintain and govern Glovo's core data tools, including Looker, defining and enforcing governance standards across the company.not practised here
  • Failure handling
    Contribute to monitoring GCP infrastructure usage and costs, and help define governance around cloud resources.
  • Cost & performance
    Strong SQL foundations , with the ability to independently write, debug and optimise analytical queries.
  • SQL
    Strong SQL foundations , with the ability to independently write, debug and optimise analytical queries.

Your plan

  1. SQL

    drills at the Mid level

  2. Python

    drills at the Mid level

  3. Pipelines

    drills at the Mid level

  4. Spark

    drills at the Mid level

The full plan, drill by drill, is on the job page.

See the full planApply on api.smartrecruiters.com

leaves in 5 dremoved the moment Delivery Hero closes it

How it works

Fetch. Read. Plan.

Every six hours, for every company on the list.

1 · Fetch

From the company's own portal

Straight from each company's job-board API. Data engineering roles only, 14 days at most.

GET boards-api.greenhouse.io/v1/boards/airbnb/jobs → 163 postings · 1 data role · 0 new since 06:00

2 · Read

Skills, with the sentence they came from

Each posting is read once. A skill only counts if the posting says it.

Spark 0.92 "…optimise PySpark jobs processing 2 TB/day…" Airflow 0.81 "…own our Airflow DAGs end to end…" Scala 0.55 not practised here, shown anyway

3 · Plan

Built from what already exists here

Skills map to practice topics. Five drills each, at the level in the title.

Senior → Intermediate + Advanced SQL ×5 · Spark ×5 · Pipelines ×5 · Modelling ×3 + interview questions · ≈ 11 h

Kept honest

Before you
trust it.

How fresh are the jobs?

Every company is checked every six hours. A role is removed after 14 days, or the moment the company closes it, whichever comes first. A re-posted job keeps its original date.

Do I apply through D8LooP?

No. The apply button opens the posting on the company site we fetched it from, with the time we last checked shown. We never host an apply form.

How do you know which skills a job asks for?

Every skill shows the sentence of the posting it was found in. A skill without evidence is not shown, and one that readers flag as wrong is hidden.

What happens when a company feed breaks?

That company shows fewer jobs, never stale ones: its roles age out normally and its page says when it was last checked. The state of every feed is on the companies page.

Which companies are included?

One hundred companies with real data platforms, from Amazon, Google and Netflix to Databricks, Stripe and Grab. The full list, with the state of each feed, is on the companies page.

Do you have every data engineering job?

No, on purpose. We cover Data Engineer, Analytics Engineer, Data Platform and Data Architect roles at the 100 companies, and nothing else.

How is the prep plan built?

Each skill in the posting maps to practice topics on D8LooP. The plan takes five drills per module at the level in the job title and closes with the interview questions for it.

Is it free?

Browsing and building a plan are free with an account. The drills follow the entitlements you already have.

Prepare for the job.
Not for the internet.

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