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YoungCapital NEXT

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<h3>What are you going to do:</h3>      <p><p>We are seeking a <strong>Senior Consultant</strong> at the intersection of <strong>Data Engineering, Analytics Engineering, and Data Stewardship</strong> for a leading global retail enterprise. In this role, you will play a central part in building and scaling <strong>Customer Domain Data Products</strong> across the international organization.</p><p>You will help build robust data pipelines, establish automated data quality standards, implement governance and metadata frameworks, and ensure customer data across the company is reliable, well-documented, and readily discoverable.</p><p><em>While the ideal candidate brings a blend of data engineering and data stewardship, applications are also very welcome from strong specialists in one area who have solid fundamentals in the other.</em></p><h3><strong>Scope & Key Responsibilities</strong></h3><ul><li><strong>Pipeline Development & Maintenance:</strong> Build, optimize, and maintain scalable ingestion and transformation pipelines using <strong>SQL, Python, and dbt</strong>, while supporting ad-hoc analytics needs.</li><li><strong>Data Quality & Reliability:</strong> Define and maintain data quality rules, automated tests, and monitoring dashboards (e.g., using <strong>dbt / Elementary</strong>). Lead root-cause analyses for data anomalies and follow up on corrective actions.</li><li><strong>Data Stewardship & Governance:</strong> Maintain business definitions, harmonization rules, metadata, and cataloguing across datasets. Review data models, data contracts, and schema mappings to ensure alignment with governance standards.</li><li><strong>Stakeholder Enablement & Reporting:</strong> Translate business requirements into trusted data products; present product metrics, data quality health, and governance insights to both technical and non-technical stakeholders.</li><li><strong>Cross-Functional Collaboration:</strong> Partner closely with data engineers, data stewards, software engineering, and product owners to improve end-to-end data usability and reliability.</li></ul><p><br></p></p>      <h4>What we offer</h4>      <p><ul><li>Hardware & Setup: A high-end laptop and all necessary peripherals to set you up for success.</li><li>Hybrid Flexibility: A balanced work model with 2–3 days on-site in Amsterdam and the rest from home, including a home office budget/setup support.</li><li>Travel Allowance: Full reimbursement for public transport commute or a competitive mileage allowance.</li><li>Impact & Scale: The opportunity to shape global customer data products and governance standards within a world-leading retail enterprise.</li><li>Growth & Learning: Access to training budgets, knowledge-sharing sessions, and modern cloud technologies (GCP, dbt, Databricks).</li><li>Collaborative Culture: An open, inclusive, and international team environment with flat hierarchies and plenty of room for initiative.</li></ul></p>      <h4>What we ask</h4>      <p><ul><li>Senior-level experience in Data Engineering, Analytics Engineering, or Data Stewardship.</li><li>Pipeline engineering: Hands-on experience writing production code in dbt or Python on cloud platforms (preferably GCP ).</li><li>Advanced SQL & data modeling: Strong skills in transforming data and building automated tests in dbt .</li><li>Ownership mindset: Proactive problem-solver who thrives in ambiguity and takes the lead.</li><li>Language: Fluent in English .</li><li>Experience with BigQuery , Databricks/PySpark , or Elementary .</li><li>Background working with customer domain data (profiles, transactions, event tracking).</li><li>Knowledge of data governance, metadata management, and data cataloguing.</li><li>Basic dashboarding skills in Looker Studio or Power BI .</li></ul></p>              <h2>Apply</h2>          Ben jij de perfecte kandidaat voor deze vacature als Data & Analytics Engineer en voldoe je aan de eisen? Klik dan op de knop 'Solliciteer direct!' en we nemen zo snel mogelijk contact met je op!        <h2 class="mt-4x">Extra information</h2><dl class="">  <dt>Status</dt>  <dd itemprop="status">    <span class="flex-row gap-4px">        <i class="flex-row middle-xs nyc-icon nyc-icon-circle-filled text--support-success-100 u-font--body-small nyc-icon nyc-icon-circle-filled text--support-success-100"></i>        Open    </span>  </dd>    <dt>Education Level</dt>    <dd itemprop="eduTypes"> HBO, Universiteit</dd>    <dt>Location</dt>    <dd itemprop="jobLocation">Amsterdam</dd>    <dt>Working hours per week</dt>    <dd itemprop="workingHours">32 - 40</dd>    <dt>Type of Contract</dt>    <dd itemprop="employmentType">Fulltime (ervaren), Tijdelijke fulltime baan</dd>    <dt>Responsible for</dt>    <dd>As a Data & Analytics Engineer, you will play a central role in building and scaling Customer Domain Data Products for a leading global retail enterprise.</dd>    <dt>Published at</dt>    <dd itemprop="publishedAt">27-10-2026</dd></dl>

<p>We are seeking a <strong>Senior Consultant</strong> at the intersection of <strong>Data Engineering, Analytics Engineering, and Data Stewardship</strong> for a leading global retail enterprise. In this role, you will play a central part in building and scaling <strong>Customer Domain Data Products</strong> across the international organization.</p><p>You will help build robust data pipelines, establish automated data quality standards, implement governance and metadata frameworks, and ensure customer data across the company is reliable, well-documented, and readily discoverable.</p><p><em>While the ideal candidate brings a blend of data engineering and data stewardship, applications are also very welcome from strong specialists in one area who have solid fundamentals in the other.</em></p><h3><strong>Scope & Key Responsibilities</strong></h3><ul><li><strong>Pipeline Development & Maintenance:</strong> Build, optimize, and maintain scalable ingestion and transformation pipelines using <strong>SQL, Python, and dbt</strong>, while supporting ad-hoc analytics needs.</li><li><strong>Data Quality & Reliability:</strong> Define and maintain data quality rules, automated tests, and monitoring dashboards (e.g., using <strong>dbt / Elementary</strong>). Lead root-cause analyses for data anomalies and follow up on corrective actions.</li><li><strong>Data Stewardship & Governance:</strong> Maintain business definitions, harmonization rules, metadata, and cataloguing across datasets. Review data models, data contracts, and schema mappings to ensure alignment with governance standards.</li><li><strong>Stakeholder Enablement & Reporting:</strong> Translate business requirements into trusted data products; present product metrics, data quality health, and governance insights to both technical and non-technical stakeholders.</li><li><strong>Cross-Functional Collaboration:</strong> Partner closely with data engineers, data stewards, software engineering, and product owners to improve end-to-end data usability and reliability.</li></ul><p><br></p>

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Data & Analytics Engineer

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Start as a full-time Data & Analytics Engineer in Amsterdam. Build scalable pipelines, ensure data quality, and work with dbt, Python, and GCP. Apply now!

Start as a full-time Data & Analytics Engineer in Amsterdam. Build scalable pipelines, ensure data quality, and work with dbt, Python, and GCP. Apply now! <h3>What are you going to do:</h3>      <p><p>We are seeking a <strong>Senior Consultant</strong> at the intersection of <strong>Data Engineering, Analytics Engineering, and Data Stewardship</strong> for a leading global retail enterprise. In this role, you will play a central part in building and scaling <strong>Customer Domain Data Products</strong> across the international organization.</p><p>You will help build robust data pipelines, establish automated data quality standards, implement governance and metadata frameworks, and ensure customer data across the company is reliable, well-documented, and readily discoverable.</p><p><em>While the ideal candidate brings a blend of data engineering and data stewardship, applications are also very welcome from strong specialists in one area who have solid fundamentals in the other.</em></p><h3><strong>Scope & Key Responsibilities</strong></h3><ul><li><strong>Pipeline Development & Maintenance:</strong> Build, optimize, and maintain scalable ingestion and transformation pipelines using <strong>SQL, Python, and dbt</strong>, while supporting ad-hoc analytics needs.</li><li><strong>Data Quality & Reliability:</strong> Define and maintain data quality rules, automated tests, and monitoring dashboards (e.g., using <strong>dbt / Elementary</strong>). Lead root-cause analyses for data anomalies and follow up on corrective actions.</li><li><strong>Data Stewardship & Governance:</strong> Maintain business definitions, harmonization rules, metadata, and cataloguing across datasets. Review data models, data contracts, and schema mappings to ensure alignment with governance standards.</li><li><strong>Stakeholder Enablement & Reporting:</strong> Translate business requirements into trusted data products; present product metrics, data quality health, and governance insights to both technical and non-technical stakeholders.</li><li><strong>Cross-Functional Collaboration:</strong> Partner closely with data engineers, data stewards, software engineering, and product owners to improve end-to-end data usability and reliability.</li></ul><p><br></p></p>      <h4>What we offer</h4>      <p><ul><li>Hardware & Setup: A high-end laptop and all necessary peripherals to set you up for success.</li><li>Hybrid Flexibility: A balanced work model with 2–3 days on-site in Amsterdam and the rest from home, including a home office budget/setup support.</li><li>Travel Allowance: Full reimbursement for public transport commute or a competitive mileage allowance.</li><li>Impact & Scale: The opportunity to shape global customer data products and governance standards within a world-leading retail enterprise.</li><li>Growth & Learning: Access to training budgets, knowledge-sharing sessions, and modern cloud technologies (GCP, dbt, Databricks).</li><li>Collaborative Culture: An open, inclusive, and international team environment with flat hierarchies and plenty of room for initiative.</li></ul></p>      <h4>What we ask</h4>      <p><ul><li>Senior-level experience in Data Engineering, Analytics Engineering, or Data Stewardship.</li><li>Pipeline engineering: Hands-on experience writing production code in dbt or Python on cloud platforms (preferably GCP ).</li><li>Advanced SQL & data modeling: Strong skills in transforming data and building automated tests in dbt .</li><li>Ownership mindset: Proactive problem-solver who thrives in ambiguity and takes the lead.</li><li>Language: Fluent in English .</li><li>Experience with BigQuery , Databricks/PySpark , or Elementary .</li><li>Background working with customer domain data (profiles, transactions, event tracking).</li><li>Knowledge of data governance, metadata management, and data cataloguing.</li><li>Basic dashboarding skills in Looker Studio or Power BI .</li></ul></p>              <h2>Apply</h2>          Ben jij de perfecte kandidaat voor deze vacature als Data & Analytics Engineer en voldoe je aan de eisen? Klik dan op de knop 'Solliciteer direct!' en we nemen zo snel mogelijk contact met je op!        <h2 class="mt-4x">Extra information</h2><dl class="">  <dt>Status</dt>  <dd itemprop="status">    <span class="flex-row gap-4px">        <i class="flex-row middle-xs nyc-icon nyc-icon-circle-filled text--support-success-100 u-font--body-small nyc-icon nyc-icon-circle-filled text--support-success-100"></i>        Open    </span>  </dd>    <dt>Education Level</dt>    <dd itemprop="eduTypes"> HBO, Universiteit</dd>    <dt>Location</dt>    <dd itemprop="jobLocation">Amsterdam</dd>    <dt>Working hours per week</dt>    <dd itemprop="workingHours">32 - 40</dd>    <dt>Type of Contract</dt>    <dd itemprop="employmentType">Fulltime (ervaren), Tijdelijke fulltime baan</dd>    <dt>Responsible for</dt>    <dd>As a Data & Analytics Engineer, you will play a central role in building and scaling Customer Domain Data Products for a leading global retail enterprise.</dd>    <dt>Published at</dt>    <dd itemprop="publishedAt">27-10-2026</dd></dl>

Fulltime Data & Analytics Engineer in Amsterdam (English)

Direct impact maken. Het kan met een carrière in IT. Want de nieuwe technologieën die jij vandaag ontwikkelt, hebben invloed op de toekomst. Ze veranderen de manier waarop we communiceren, werken en leren. En het vakgebied zelf biedt talloze kansen. Welke richting jij ook kiest. Zo zet je zelf de toekomst naar je hand.

Met onze IT-traineeships maken we van ambitieuze young professionals volwaardige IT-specialisten. Door eerst een basis te leggen, waarna ze zich kunnen specialiseren in een van de onderstaande vakgebieden. Staat jouw richting er niet bij? Geen probleem. We gaan graag in gesprek over de mogelijkheden. Om ook jouw organisatie te voorzien van IT-talenten met de juiste skills en mindset die direct het verschil kunnen maken.

Help anderen vooruit. Met het IT-services traineeship voor mbo. Een vakgebied vol challenges, die jij omzet in kansen. Door werken en leren te combineren.

IT-services traineeship | NEXT 

Kleine, dagelijkse uitgaven of juist grote investeringen. Finance speelt een cruciale rol in ons dagelijks leven. Maar het is ook een vakgebied waar jij snel stappen maakt. Door kansen te pakken en klanten verder te helpen. In een richting die jou het meeste aanspreekt. Van data-analist tot financieel adviseur of payroll-specialist. Bij een bank, verzekeraar of pensioenfonds. Jij bepaalt zelf waar je de meeste impact maakt.

Gemotiveerde young professionals klaarstomen voor een baan in de financiële sector. Dat is de insteek van onze finance-traineeships. We zorgen eerst dat ze de juiste certificaten, kennis en kunde op zak hebben. Voor het specialisme dat zij zelf kiezen. Of voor de richting waar jij specifiek naar op zoek bent. Zo hebben ze de basis op zak. Klaar om impact te maken binnen jouw organisatie.

CUSTOM TRAINEESHIP

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NEXT TRAINEESHIP

Volg een finance traineeship bij YoungCapital NEXT voor mbo, hbo of wo. Van cdd-analist tot financieel adviseur of acceptant. Jij groeit hard. 

Finance traineeships | NEXT 

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IT-SERVICES 

Met een wo, hbo of mbo IT-traineeship bij YoungCapital NEXT groei je razendsnel. Door te werken én leren. Volg onze ICT-traineeships zonder vooropleiding. 

Fulltime Data & Analytics Engineer in Amsterdam (English)

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