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Open nowPosted 3 days ago

Senior Data Engineer

WIZELINE36 open roles

Where
Spain
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Your applicationOpen nowSenior Data EngineerWIZELINE · Spain

  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 WIZELINE'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.

12.9% of postings close within 7 days. Measured by our own scanner across the market. WIZELINE postings stay open a median of 23 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 12.9%7 days
  4. 21.0%14 days
  5. 35.6%30 days
  6. 58.5%60 days
This job: posted 3 days ago

WIZELINE median: 23 days open

The posting

Senior Data Engineer

Location: Remote, Barcelona

We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve.

Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:

Key Responsibilities

  • Lead the end-to-end, greenfield design and implementation of a scalable cloud data platform—from an empty account to a fully functional production environment.
  • Deploy and manage all infrastructure as code (Terraform) through CI/CD pipelines, ensuring robust private networking, least-privilege access, and cost-conscious architecture.
  • Build and own complex data transformation models and a unified semantic layer to ensure metrics are defined once and served consistently to both BI tools and AI assistants.
  • Design secure, incremental data ingestion pipelines across various complex systems (e.g., HR, Atlassian, GitHub, Finance) that do not natively join.
  • Enforce strict privacy by design, implementing row- and column-level access policies on confidential data strictly as code.
  • Document architectural decisions (ADRs) clearly and create comprehensive handover documentation to ensure the platform can be easily operated by others.

Must-have Skills

  • Experience: 8+ years of data engineering experience, including a proven track record of building at least one production-grade data platform from scratch (not just inheriting one).
  • Language: Professional communication skills in English.
  • Core Engineering: Advanced SQL and strong Python programming skills, with deep expertise in dimensional modeling and resilient production pipelines.
  • Cloud & Infrastructure: Hands-on experience with AWS (S3, IAM, VPC, ECS/Lambda, RDS/Aurora) and deploying Infrastructure as Code using Terraform.
  • Data Transformation & Governance: Strong production experience with dbt (tests, documentation, lineage) and a solid understanding of implementing entity resolution and security access policies as code.

Nice-to-have:

  • AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. (This is NOT AN EXAMPLE, INCLUDE IT IN EVERY JOB POSTING)
  • Experience with modern enterprise cloud data warehouses (e.g., Snowflake, Redshift Serverless) and semantic/metrics layers (e.g., Cube, MetricFlow, LookML).
  • Familiarity with exposing governed data to LLM agents (MCP, tool calling) and evaluating AI-generated answers.
  • Previous experience handling cross-system business domains, such as Atlassian data models, GitHub engineering-flow metrics, or enterprise finance/OPEX data.

What we offer:

  • A High-Impact Environment
  • Commitment to Professional Development
  • Flexible and Collaborative Culture
  • Global Opportunities
  • Vibrant Community
  • Total Rewards *Specific benefits are determined by the employment type and location.

Find out more about our culture here.

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One press. We do the rest.

  1. A CV for this posting

    Written against WIZELINE'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 WIZELINE's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    WIZELINE'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

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  6. The interview in your calendar

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