Senior Big Data Engineer

Posted Yesterday
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Hiring Remotely in Ukraine
Remote
Senior level
Information Technology • Consulting
The Role
Lead design and implementation of scalable, cloud-native marketing data pipelines on GCP. Build and optimize BigQuery models, implement CI/CD for data workflows, support a canonical data model and DataHub catalog, ensure brand data isolation, and collaborate with product, Martech, and analytics teams to improve marketing attribution and reporting.
Summary Generated by Built In

We are looking for a Senior Data Engineer to join a strategic marketing technology (Martech) transformation initiative for a large enterprise organization. The project focuses on modernizing the client's marketing data platform, rebuilding data pipelines, and improving marketing attribution across multiple business brands.

As part of a dedicated data engineering team, you will help build a scalable, cloud-native data platform on Google Cloud Platform (GCP), enabling better visibility into marketing performance and supporting data-driven decision making. This is a long-term engagement through the end of 2026, working closely with the client's Data Engineering, Product, and Martech teams.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP).
  • Build and optimize data models in BigQuery to support analytics and marketing reporting.
  • Rebuild legacy marketing data pipelines following modern engineering best practices and enterprise standards.
  • Contribute to the development of a canonical enterprise data model and semantic data layer.
  • Support the implementation and adoption of DataHub as the enterprise data catalog.
  • Develop automated CI/CD pipelines for data engineering workflows and enforce coding and data quality standards.
  • Ensure proper data isolation between multiple business brands while enabling consolidated reporting where appropriate.
  • Collaborate closely with Product Managers, Martech specialists, Analytics teams, and other data engineers to deliver business value.
  • Optimize data processing performance, reliability, monitoring, and cost efficiency.

Required Qualifications:

  • 5+ years of experience as a Data Engineer.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Advanced experience with BigQuery.
  • Strong SQL and Python development skills.
  • Experience designing and implementing modern ELT/ETL pipelines.
  • Solid understanding of dimensional modeling, semantic modeling, and enterprise data architecture.
  • Experience building production-grade CI/CD pipelines for data platforms.
  • Familiarity with Git and modern software engineering best practices.
  • Strong communication skills and ability to work within cross-functional teams.
  • Upper-Intermediate or higher English.

Nice to Have:

  • Experience with marketing technology (Martech) platforms and marketing attribution.
  • Hands-on experience integrating: Google Ads, Google Analytics (GA4), Search Ads 360 (SA360), Campaign Manager 360, DV360
  • Experience with DataHub or similar data catalog solutions.
  • Experience implementing semantic layers for analytics platforms.
  • Understanding of multi-brand or multi-tenant data architectures.
  • Experience modernizing legacy data platforms and rebuilding pipelines from scratch.

We offer*:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

*not applicable for freelancers

Skills Required

  • 5+ years of experience as a Data Engineer.
  • Hands-on experience with Google Cloud Platform (GCP).
  • Advanced experience with BigQuery.
  • Strong SQL development skills.
  • Strong Python development skills.
  • Experience designing and implementing modern ELT/ETL pipelines.
  • Solid understanding of dimensional modeling, semantic modeling, and enterprise data architecture.
  • Experience building production-grade CI/CD pipelines for data platforms.
  • Familiarity with Git and modern software engineering best practices.
  • Strong communication skills and ability to work within cross-functional teams.
  • Upper-Intermediate or higher English.
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The Company
HQ: Valletta
2,135 Employees
Year Founded: 2002

What We Do

N-iX is a global software solutions and engineering services company that helps world’s leading organizations turn challenges into lasting business value, operational efficiency, and revenue growth using advanced technology. Whether you need to build a custom solution, modernize your digital product or acquire extra tech expertise - we have the experience and capabilities to ensure your success. With over 2,000 professionals in 25 countries across Europe and the Americas, N-iX offers expert solutions in cloud, data analytics, embedded software, IoT, AI, machine learning, and other tech domains. Being in business for over two decades, we have worked with dozens of industry-leading enterprises and Fortune 500 companies creating value across a wide variety of sectors, including finance, manufacturing, supply chain, retail, e-commerce, healthcare, and more. Our unique combination of business domain expertise and technical know-how enables us to effectively collaborate with ISVs, tech companies, and enterprises of all sizes. Thanks to the strong tech ecosystem and partnerships with AWS, GCP, Microsoft, SAP, OpenText, Snowflake, and others, we bring extra speed, scale and efficiency to more than 160 organizations across the globe. N-iX is recognized by numerous industry awards, such as CRN Solution Provider 500, Global Outsourcing 100 by IAOP, ISG Provider Lens™, Modern Application Development services providers by Forrester, etc

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