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Jobs · 220 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.
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Data Engineer, Analytics Engineer, Data Platform and Data Architect roles. No relevance ranking.

Staff Analytics EngineerStaff

Pleo · United Kingdom · RemoteRelocates

PythonSQLdbtGCPAirflow / orchestration10 d ago10+ yrs

Pleo · jobs.ashbyhq.com · checked today

Staff Analytics Engineer

United KingdomStaff · RemotePleo relocates hires ↗10+ yrsAnalytics Engineerposted 10 d ago

Skills, with evidence

  • Python
    Our tech stack currently include: GCP, BigQuery, dbt Core, Airflow, SQL, Python, Claude Code, GitHub Copilot.must have
  • SQL
    Deep BigQuery and SQL expertise, including performance, cost considerations, and the architectural challenges of complex analytical domains.must have
  • dbt
    Deep demonstrated expertise in dbt and modelling practices: not just strong modelling, but a formed view of what modelling architecture should look like across a function.must have
  • GCP
    Our tech stack currently include: GCP, BigQuery, dbt Core, Airflow, SQL, Python, Claude Code, GitHub Copilot.must have · not practised here
  • Airflow / orchestration
    Our BI stack is also in transition so, you would not be inheriting a mature setup and maintaining it.
  • Data modelling
    - Set data modelling standards for the function: what clean, layered, well-tested dbt architecture looks like across all domains, at all levels of complexity.
  • Governance & security
    This is a senior individual contributor role in our Data Services & Governance team where you'll act as the thought and technical leader owning the semantic layer and analytics standards for Pleo.not practised here
  • Schema evolution & contracts
    - Engage upstream with backend and product engineers to drive data contract discipline and schema ownership upstream, rather than managing inconsistency downstream.
  • Dashboards & BI
    The semantic layer you will be designing and maintaining will be the single source of truth that AI agents, BI tools, and analysts query.not practised here
  • Cost & performance
    - Deep BigQuery and SQL expertise, including performance, cost considerations, and the architectural challenges of complex analytical domains.
  • Warehousing
    - Lead responsible AI-augmented migration work using AI tooling to accelerate data modelling and migrations across the Analytics Warehouse and Operational Data Platform.
  • Machine learning
    You'll report to the Data Engineering Manager who oversees the Data Infra & MLOps team as well as the Data Services & Governance team.not practised here

Your plan

  1. SQL

    drills at the Staff level

  2. Python

    drills at the Staff level

  3. Modelling

    drills at the Staff level

  4. Pipelines

    drills at the Staff level

  5. Spark

    drills at the Staff level

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

See the full planApply on jobs.ashbyhq.com

leaves in 3 dremoved the moment Pleo 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?

220 product companies with real data platforms, worldwide: Amazon, Google and Netflix; Databricks, Stripe and Anthropic; Spotify, Adyen, N26 and Trade Republic in Europe; Careem, Tamara and Bybit in the Gulf; Grab, Airwallex and PayPay in Asia-Pacific; Nubank and QuintoAndar in Latin America. The full list, with the state of each feed, is on the companies page.

What does “Jobs abroad with relocation support” show?

Roles outside India where moving is supported, on one of two kinds of evidence. “Relocation”: the posting itself offers relocation or visa support. “Relocates”: the company publicly relocates hires to that country (its relocation page, its careers page, or relocate.me), linked from the job page. A posting that refuses relocation or sponsorship never shows, whatever the company does in general. Always confirm the details with the recruiter before you plan a move.

Do you have every data engineering job?

No, on purpose. We cover Data Engineer, Analytics Engineer, Data Platform and Data Architect roles at these 220 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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