Xccelerated03.02.26
AI SCORE 8.5

Analytics Engineer - Relocation to the Netherlands

$70K–$90K/year

About the Role

We are seeking an Analytics Engineer remote to join our dynamic team at Xccelerated. This role offers you the unique opportunity to relocate to the Netherlands and work on impactful analytics projects while accelerating your career through structured, high-level training.

What You'll Do

  • Design, implement, and maintain analytics-ready data models using techniques such as star schemas and Data Vault.
  • Build and maintain data pipelines and dashboards for business-critical decision-making.
  • Optimize transformations using dbt, adhering to analytics engineering best practices.
  • Collaborate closely with Data Scientists, Analysts, and Data Engineers.
  • Utilize Snowflake as the central cloud data warehouse for analytics projects.

Requirements

  • A Bachelor’s or Master’s degree in a relevant field.
  • 3–4 years of experience in Analytics Engineering, BI engineering, or data warehouse development.
  • Strong data modeling skills and excellent SQL proficiency (Python is a plus).
  • Experience with cloud platforms and their data components.
  • A proactive mindset and willingness to relocate to the Netherlands.

Nice to Have

  • Experience with modern analytics tools and frameworks.
  • Familiarity with data visualization tools.
  • Knowledge of machine learning concepts.

What We Offer

  • Competitive salary based on experience.
  • Relocation support for candidates moving from abroad.
  • 25 vacation days and an intensive onboarding program.
  • Weekly technical training, mentoring, and innovation days.
  • Modern equipment including a MacBook and iPhone.
  • Hybrid working model with an international team.

Join us as an Analytics Engineer remote and take your career to the next level while enjoying the benefits of living in the Netherlands!

Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Analytics Engineer remote position offers a unique opportunity to relocate to the Netherlands while working on impactful projects with extensive training.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About Xccelerated

Explore Xccelerated careers in 2026 and discover a range of exciting job openings, including remote, hybrid, and office roles. Utilize our advanced filters to streamline your job search, track your applications effortlessly, and gain valuable company insights. Unlock your career opportunities at Xccelerated today, and take the next step towards a fulfilling position in a dynamic environment.

Industry
Tech
Location
On-site

Who Will Succeed Here

Proficient in SQL and experienced with dbt for transforming and modeling data, enabling the design of robust data pipelines in cloud platforms like Snowflake.

Adaptable and self-motivated, thriving in a hybrid work environment that requires both independent problem-solving and collaborative efforts with remote and on-site teams.

Detail-oriented with a strong analytical mindset, capable of creating and optimizing data models using methodologies such as star schemas and Data Vault to ensure high-quality analytics outputs.

Learning Resources

SQL for Data Sciencecourse

Career Path

Analytics Engineer(Now)Senior Analytics Engineer(1-2 years)Analytics Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$10.5B
Annual Growth
14.2%
AI Adoption
48%
Investment
+35%
Labour Demand
+30%
Avg Salary
$85K

Skills & Requirements

Required
SQLdbtData Modeling
Growing in Demand
PythonApache AirflowData Visualization (Tableau, Power BI)
Declining
Excel for Data AnalysisTraditional ETL Tools (Informatica, Talend)

Domain Trends

Rise of Cloud Data Warehousing
Cloud data warehousing solutions like Snowflake are gaining traction, with a projected market growth of 20% annually as organizations shift from on-premise solutions.
Increased Demand for Real-time Data Processing
The demand for real-time analytics is increasing, with 60% of organizations prioritizing real-time capabilities in their data strategies.
Integration of AI in Data Analytics
AI-driven analytics tools are expected to enhance data processing efficiency by 40%, with 50% of analytics teams adopting AI solutions by 2025.

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