Skip to content

Open nowPosted 38 hours ago

Lead Data Engineer - Data Migration & Lakehouse

siehe Beschreibung

Where
Wien, Austria
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowLead Data Engineer - Data Migration & Lakehousesiehe Beschreibung · Wien, 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 siehe Beschreibung's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 38 hours ago

The posting

1 Lead Data Engineer - Data Migration & Lakehouse from now

Your Tasks * Migration Ownership: Lead large-scale migration projects from legacy systems (ranging from SQL over ERP to mainframes) into modern cloud/lakehouse targets, taking full technical responsibility. * Databricks Architecture: Design and implement robust pipelines using Spark, Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines, and Databricks Asset Bundles for CI/CD-style deployment. * Data Modeling & Reconciliation: Own data modeling, schema mapping, and reconciliation across heterogeneous systems, resolving structural mismatches independently. * Discovery & Assessment Leadership: Reviewing source documentation, interviewing SMEs, producing gap analyses, and translating ambiguous or outdated specs into concrete technical requirements. * Data Quality & Validation: Establish data quality frameworks and automated validation as team standards. * Stakeholder Communication: Proactively surface risks - documentation gaps, structural mismatches - clearly and early to non-technical stakeholders, representing SQUER with confidence.

Your Qualifications * Must-Haves ** Migration Track Record: 5+ years in data engineering, with several large-scale legacy-to-cloud/lakehouse migrations led independently. ** Databricks Depth: Hands-on mastery of the Databricks ecosystem - Spark, Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines, and Asset Bundles for CI/CD-style deployment. ** Data Modeling & Reconciliation: Strong command of data modeling and schema mapping across heterogeneous systems, from mainframes to legacy ERPs. ** Discovery Experience: Experience in discovery/assessment phases end-to-end - interviewing SMEs, identifying gaps between legacy systems and target architecture, turning ambiguity into concrete requirements. ** Data Quality Rigor: Practical experience with data quality frameworks and automated validation (e.g., Great Expectations, dbt tests, custom reconciliation tooling). ** Communication & Risk Ownership: Ability to break down complex topics and surface risks early and clearly to both technical and non-technical stakeholders. ** AI-Assisted Workflows: Comfort using AI/LLM-assisted tooling in a data pipeline context.

Your Benefits Why You'll Love Working at SQUER:

  • Ownership & Responsibility: at SQUER, we believe in empowering our team. In our flat hierarchies, your ideas and actions matter more than titles. Take the reins, make an impact and grow with us.
  • Learn & Grow: Tap into a € 5.000 annual training budget to sharpen your skills and take advantage of our in-house Leadership Academy. Join and be part of our active tech community through meetups, hackathons and training sessions. Get up to 40h/year additional time off for your personal education.
  • Flexibility for Performance: Benefit from hybrid work options, flexible hours, workations within the EU, and additional vacation days - giving you the freedom to perform at your best.
  • Tailored Tools for Success: Choose your preferred hardware configuration and leverage our suite of AI tools and licenses (Anthropic, OpenAI, and more) to suit your working style.
  • A Perks-Packed Workplace: Work in a central office with a spacious terrace and BBQ, enjoy free lunch in the office, MyClubs sports membership, and either a free "Wiener Linien" ticket or a partial contribution to the "Klimaticket". Plus, benefit from free massages, referral bonuses, Corporate Benefits, and JobRad. Annual employee presents and a monthly team breakfast add extra value to your work experience.
  • please refer to the application link for further information

We believe in transparent and fair compensation. For this role, the annual gross salary ranges between € 75.000 and € 95.000 - the exact placement depends on the seniority level we assess together during the process.

apply here:

>>> https://www.squer.io/jobs/lead-data-engineer-data-migration-lakehouse-vie <<< Das Mindestentgelt für di...

Posting text belongs to the employer. Removal requests: contact us.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against siehe Beschreibung'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 siehe Beschreibung's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

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

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.