Data Engineer

Posted 7 Days Ago
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Duxford, South Cambridgeshire, Cambridgeshire, England, GBR
In-Office
Mid level
Aerospace • Automotive • Industrial • Manufacturing
The Role
Design, build, and maintain end-to-end data solutions on Azure and Microsoft Fabric. Develop scalable data pipelines, lakehouse architectures (Bronze/Silver/Gold), semantic Power BI models, star schemas, and PySpark transformations. Ensure data quality, governance, CI/CD DataOps practices, and integration of on-prem and cloud systems to support analytics and AI/ML enablement.
Summary Generated by Built In

With our strong investment in research and development and our culture of continuous improvement, Hexcel is the industry leader in the manufacturing of advance composite materials, including carbon fiber, woven reinforcements, resins, prepregs, honeycombs and additive manufactured parts. We invite you to join the Hexcel team at various manufacturing sites, sales offices and R&D centers around the globe. Become a part of the “strength within.”

Hexcel is currently seeking a Data Engineer for our Duxford, UK location.

The selected individual will be responsible for but not limited to the following obligations:

  • Design and deliver end-to-end data solutions across Azure and Microsoft Fabric platforms.
  • Develop and optimise enterprise-grade Power BI semantic models and reporting solutions.
  • Build and maintain scalable, high-performance data pipelines using Azure Data Factory and Fabric.
  • Engineer lakehouse architectures using medallion layers (Bronze, Silver, Gold).
  • Design and implement star schemas and analytical data models aligned to business needs.
  • Develop and optimise data transformations using PySpark/Spark.
  • Integrate data from on-premise and cloud systems into centralised platforms.
  • Create reusable pipelines, datasets, and data components to improve delivery efficiency.
  • Ensure data quality, performance, governance, and reliability across all data assets.
  • Implement DataOps practices including CI/CD, monitoring, version control, and production support.

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience, with proven experience in data engineering, analytics engineering, or a similar role.
  • Strong experience with Azure Data Factory and modern data integration patterns.
  • Advanced Power BI capability including semantic data modelling, DAX, and performance optimisation.
  • Strong proficiency in SQL and data modelling for analytics-ready solutions.
  • Experience with Azure cloud data platforms and modern data architectures.
  • Knowledge or experience of Microsoft Fabric, including lakehouse/warehouse concepts and Power BI integration.
  • Experience with PySpark/Spark-based data processing (e.g. Databricks or Fabric).
  • Understanding of DataOps principles, including CI/CD, automated testing, monitoring, and data lifecycle management.
  • Experience designing medallion (Bronze/Silver/Gold) architectures, lakehouse patterns, and batch/near-real-time processing.
  • Awareness of enterprise data needs, including AI/ML enablement, governance, security, reusable data assets, plus strong problem-solving, collaboration, and continuous learning mindset.

Candidates must be eligible to work in the country where the position is based. Hexcel (NYSE: HXL) is a global leader in advanced composites technology, a leading producer of carbon fiber, and the world leader in honeycomb manufacturing for the commercial aerospace industry.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, or equivalent experience
  • Proven experience in data engineering or analytics engineering
  • Strong experience with Azure Data Factory and modern data integration patterns
  • Advanced Power BI capability including semantic data modelling and DAX
  • Strong proficiency in SQL and analytics data modelling
  • Experience with Azure cloud data platforms and modern data architectures
  • Knowledge or experience of Microsoft Fabric, including lakehouse/warehouse concepts and Power BI integration
  • Experience with PySpark/Spark-based data processing (e.g., Databricks or Fabric)
  • Understanding of DataOps principles including CI/CD, automated testing, monitoring, and version control
  • Experience designing medallion (Bronze/Silver/Gold) architectures and lakehouse patterns
  • Ability to design star schemas and analytical data models aligned to business needs
  • Experience integrating on-premise and cloud data systems into centralized platforms
  • Focus on data quality, performance, governance, and reliability across data assets

Hexcel Corporation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hexcel Corporation and has not been reviewed or approved by Hexcel Corporation.

  • Fair & Transparent Compensation Pay is often characterized as competitive or good for the area, with overtime and bonuses contributing to a stronger overall cash picture. Compensation is also described as varying by role and location, but it still stands out as a perceived strength in many operational settings.
  • Retirement Support Retirement offerings include a 401(k) with employer matching and access to stock-related programs such as an employee stock purchase plan. This supports a total-rewards story that goes beyond base pay for eligible roles.
  • Inclusive Benefits Coverage Core coverage is described as broadly available to U.S. employees, including medical, prescription, dental, and vision plans alongside life and disability protections. Tuition reimbursement and voluntary insurance options further widen the practical usefulness of the package.

Hexcel Corporation Insights

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The Company
HQ: Stamford, CT
2,656 Employees
Year Founded: 1948

What We Do

As a leading producer of carbon fiber reinforcements and resin systems, and the world leader in honeycomb manufacturing for the commercial aerospace industry, Hexcel is creating a better world for us all through lightweight solutions.

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