Senior Data Engineer

Amenitiz
Barcelona, Spain
On-site

Who this role is best for

Candidates with experience in data pipeline architecture and cloud-based data platforms will find this leadership role in a fast-growing tech environment in Barcelona.

Best fit for

  • Individuals skilled in mentoring and leading cross-functional teams in data projects
    — “Excellent communication and leadership skills, with experience leading cross-team projects and mentoring engineers”
  • Professionals with hands-on experience in dbt and Redshift for ELT and data modeling
    — “Hands-on experience with modern data platforms (e.g. BigQuery, Snowflake, Redshift) and orchestration tools (e.g. Airflow, dbt)”

Things to consider

  • The role requires a strong commitment to in-office presence in Barcelona for benefits like the €10 daily lunch allowance
    — “€10 a day for lunch through our virtual canteen, Kombo, every day you work from the office”

How to stand out

  • Highlight experience in leading end-to-end data pipeline implementations and optimizing performance
    — “Lead the design and implementation of scalable, secure, and reliable data pipelines”
  • Showcase expertise in ELT workflows and dbt, with specific examples of modularity and adaptability
    — “Architect and optimize ELT workflows in dbt, ensuring modularity, performance, and adaptability to evolving business needs”
  • Emphasize your ability to balance usability and scalability in data modeling for stakeholders
    — “Own the integrity, structure, and performance of core data models in Redshift, balancing usability for stakeholders with technical scalability”
  • Demonstrate a track record in data governance and observability frameworks
    — “Implement and drive standards for data governance, observability, and quality across all pipelines”
  • Demonstrate leadership in cross-functional collaboration with product, engineering, and data science teams
    — “Partner with engineering and product teams to deliver improvements to data architecture aligned with company goals”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • scalable data infrastructure
  • secure and reliable data access
  • data-driven decision-making
Typical background
data engineering experiencecloud platform expertise

Skills & requirements

Required

Data Pipeline DesigndbtData ModelingData GovernanceData IntegrationCloud ArchitecturesDistributed Systems

Preferred

New Tool EvaluationsCross-team Mentoring

Stack & domain

SQLPythonData EngineeringData PipelinesData ModelsData GovernanceData QualityData PrivacyData SecurityCloud ArchitecturesDistributed SystemsBigQuerySnowflakeRedshiftAirflowdbtProblem-solvingCommunicationTeamworkLeadershipStrategic ThinkingCloud ComputingData ScienceTechnology

About the role

Original posting from Amenitiz via Ashby

About the role

At Amenitiz, data is at the core of how we grow, make decisions, and deliver value to our customers. As a Senior Data Engineer, you’ll take the lead in architecting and scaling our data infrastructure, ensuring that teams across the company have secure, reliable, and high-quality access to data. You’ll design and optimize pipelines, own core data models, and implement governance and quality standards that will shape the future of our platform. Beyond the technical side, you’ll mentor junior engineers, lead design discussions, and collaborate with product, engineering, analytics, and data science to ensure our data foundation scales with the business. Your work will directly power data-driven decision-making at Amenitiz.

Your missions

  • Lead the design and implementation of scalable, secure, and reliable data pipelines.
  • Architect and optimize ELT workflows in dbt, ensuring modularity, performance, and adaptability to evolving business needs.
  • Own the integrity, structure, and performance of core data models in Redshift, balancing usability for stakeholders with technical scalability.
  • Implement and drive standards for data governance, observability, and quality across all pipelines.
  • Efficiently integrate diverse data sources, APIs, and third-party platforms.
  • Partner with engineering and product teams to deliver improvements to data architecture aligned with company goals.
  • Monitor, troubleshoot, and proactively optimize pipeline performance, including incident response and root cause analysis.

Contribute to the long-term data platform strategy, including evaluations of new tools, standards, and design patterns.

  • Mentor junior engineers through code reviews, technical coaching, and knowledge sharing.

About you

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in data engineering, with a strong track record of scaling infrastructure in fast-growing environments.
  • Expert-level SQL and strong proficiency in Python (or other data-related programming languages).
  • Hands-on experience with modern data platforms (e.g. BigQuery, Snowflake, Redshift) and orchestration tools (e.g. Airflow, dbt).
  • Strong knowledge of cloud architectures (GCP, AWS, or Azure) and distributed systems.
  • Familiarity with data privacy, security, and governance frameworks.
  • A proactive problem-solving mindset, able to diagnose complex issues and drive solutions.
  • Excellent communication and leadership skills, with experience leading cross-team projects and mentoring engineers.

Our Offer

  • Competitive salary + performance bonus tied to forecast accuracy and GTM outcomes
  • Stock options with a progressive vesting schedule
  • Comprehensive health insurance
  • 25 days of holidays from day one, rising to 28 after your first year and 30 after two years
  • €10 a day for lunch through our virtual canteen, Kombo, every day you work from the office
  • Flexible benefits - save on meals, childcare, transportation, and training with our tailored remuneration options
  • On-demand salary access - no need to wait until the end of the month
  • Any book, purchased for you, plus access to a shared team library
  • An international team of 35+ nationalities based in one of Europe's leading tech hubs

#LI-CL1

Source: Amenitiz careers (Ashby)

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