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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.

Senior Data Engineer – MarTechSenior

Delivery Hero · Barcelona, esRelocates

Airflow / orchestrationData modellingData qualityPythonSQL2 d ago

Delivery Hero · api.smartrecruiters.com · checked today

Senior Data Engineer – MarTech

Barcelona, esSeniorDelivery Hero relocates hires ↗Data Engineerposted 2 d ago

Skills, with evidence

  • Airflow / orchestration
    Orchestration and integration patterns: Airflow DAG design, Pub/Sub, API and file-based ingestion (GCS, S3, CloudSQL replicas), idempotency, deduplication, backfills and late-arriving data.must have
  • Data modelling
    Apply dimensional and incremental modelling, historisation, partitioning and clustering, and judge when each applies.must have
  • Data quality
    Define tests, freshness SLAs and anomaly checks across owned domains, reducing incident rate and time-to-detect instead of reacting after stakeholders notice.must have
  • Python
    Software engineering practice: strong Python and SQL with modularisation, testing, CI/CD, version control and monitoring.must have
  • SQL
    Advanced SQL and data modelling: deep BigQuery skills, dimensional and incremental modelling, historisation, partitioning and clustering, and the judgment to know when each applies.must have
  • Spark
    You will work across a broad technical surface (BigQuery, dbt, Airflow, Pub/Sub, Spark) at global scale.must have
  • dbt
    dbt and transformation frameworks: model structure, tests, documentation and macros, keeping a large transformation DAG maintainable.must have
  • Governance & security
    Own lineage, access control, PII policy tags and GDPR-compliant handling across your domains.must have · not practised here
  • Failure handling
    Take a domain from requirements to production, monitoring and daily operation, rather than handing it over at deployment
  • Schema evolution & contracts
    We are looking for a Senior Data Engineer to own domains of this platform end-to-end: modelling, pipeline design, data quality, and the data contracts our stakeholders build on.
  • Cost & performance
    Apply dimensional and incremental modelling, historisation, partitioning and clustering, and judge when each applies
  • Idempotency & backfills
    Design for idempotency, deduplication, backfills and late-arriving data
  • Streaming
    You will work across a broad technical surface (BigQuery, dbt, Airflow, Pub/Sub, Spark) at global scale, and you will be the person stakeholders come to when a domain needs to be designed, not just maintained.
  • GCP
    You will work across a broad technical surface (BigQuery, dbt, Airflow, Pub/Sub, Spark) at global scale, and you will be the person stakeholders come to when a domain needs to be designed, not just maintained.not practised here

Your plan

  1. SQL

    drills at the Senior level

  2. Python

    drills at the Senior level

  3. Modelling

    drills at the Senior level

  4. Pipelines

    drills at the Senior level

  5. Spark

    drills at the Senior level

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

See the full planApply on api.smartrecruiters.com

leaves in 11 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?

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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