D8LooP
Build my plan

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.
See the live rolesHow it works

Live roles · newest first

Pick a job.
Get the plan.

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

Senior Analytics Engineer, FinanceSenior

NVIDIA · US, CA, Santa Clara

Data modellingData qualityIncremental loadsSQLGovernance & security9 d ago25+ yrs

Senior Analytics Engineer (Data & Agentic Analytics)Senior

Delivery Hero · Kuala Lumpur, myRelocates

Data modellingData qualitySQLWarehousingPython10 d ago8+ yrs

NVIDIA · nvidia.wd5.myworkdayjobs.com · checked today

Senior Analytics Engineer, Finance

US, CA, Santa ClaraSenior25+ yrsAnalytics Engineerposted 9 d ago

Skills, with evidence

  • Data modelling
    Strong SQL skills and proficiency in data modeling concepts (star schema, dimensional modeling, semantic design).must have
  • Data quality
    Collaborate with data engineering teams to optimize data pipelines, ensure data quality, and improve data availability.must have
  • Incremental loads
    Practical involvement with traditional data warehouse architectures, including centralized data warehouses and/or data marts, and a solid understanding of historical, snapshot, and incremental data processing patterns.must have
  • SQL
    Strong SQL skills and proficiency in data modeling concepts (star schema, dimensional modeling, semantic design).must have
  • Governance & security
    Establish and implement data governance, validation rules, and transformation logic to ensure data consistency across systems including Unity Catalog policies within Databricks.must have · not practised here
  • Spark
    We are seeking a highly skilled Senior Analytics Engineer supporting finance initiatives, with strong end-to-end analytics capabilities, spanning data engineering fundamentals, semantic layer design, dashboard development in Tableau and Power BI, and application development within Databricks.
  • Warehousing
    The ideal candidate will bring strong Finance domain knowledge, experience improving reporting and business processes, hands-on expertise building semantic layers to develop consistent, well-governed analytical data models, and proficiency designing and deploying data applications on the Databricks Lakehouse Platform.
  • Dashboards & BI
    We are seeking a highly skilled Senior Analytics Engineer supporting finance initiatives, with strong end-to-end analytics capabilities, spanning data engineering fundamentals, semantic layer design, dashboard development in Tableau and Power BI, and application development within Databricks.not practised here
  • Airflow / orchestration
    Background with ETL/ELT tools (e.g., dbt, Fivetran, Informatica, Data Factory, Alteryx) and project tracking in Jira.
  • Cost & performance
    Collaborate with data engineering teams to optimize data pipelines, ensure data quality, and improve data availability.
  • Failure handling
    Supervise and support interface health, error handling, and reconciliation processes, proactively resolving integration failures and data discrepancies.
  • Python
    Exposure to data science tools or methodologies (Python, R, machine learning concepts, Snowflake).
  • dbt
    Background with ETL/ELT tools (e.g., dbt, Fivetran, Informatica, Data Factory, Alteryx) and project tracking in Jira.
  • Machine learning
    Exposure to data science tools or methodologies (Python, R, machine learning concepts, Snowflake).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 nvidia.wd5.myworkdayjobs.com

leaves in 4 dremoved the moment NVIDIA 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.

Browse live rolesNot ready yet? Start from scratch