Lead Data Engineer (Snowflake) (#2672)

56 Minutes ago • 7 Years + • Data Analyst

About the job

Job Description

N-iX seeks a passionate Lead Data Engineer to design and implement a scalable data infrastructure for a cutting-edge consumer data lake. Responsibilities include leading and mentoring a team of data engineers, building and optimizing data pipelines, designing efficient data models, and ensuring data integrity and security. The ideal candidate will have extensive experience with Snowflake, DBT, Python, data modeling, and building consumer data lakes. They will collaborate with architects and product owners, ensuring compliance with data privacy regulations. This role requires hands-on development, leadership skills, and a deep understanding of cloud technologies and data security.
Must have:
  • 7+ years Data Engineering exp.
  • Snowflake & DBT expertise
  • Strong Python skills
  • Data lake & consumer analytics exp.
  • Data modeling proficiency
  • Team leadership & mentorship
Good to have:
  • Azure/GCP experience
  • SAP HANA experience
  • Big Data tools experience
  • NoSQL database experience
Perks:
  • Flexible working format
  • Competitive salary
  • Personalized career growth
  • Professional development tools
  • Education reimbursement
  • Corporate events

N-iX is looking for a passionate and motivated Lead Data Engineer. 

Join an exciting journey to create a greenfield, cutting-edge Consumer Data Lake for a leading global organization based in Europe. This platform will unify, process, and leverage consumer data from various systems, unlocking advanced analytics, insights, and personalization opportunities. As a leader, you will take a hands-on approach, staying actively involved in technical execution while guiding and supporting your team.

Your work will transform consumer data into actionable insights and personalization on a global scale. Using advanced tools to tackle complex challenges, you’ll innovate within a collaborative environment alongside skilled architects, engineers, and leaders.

As Tech Lead, you’ll design and implement a scalable data infrastructure, lead a team of data engineers, and partner with the Solution Architect to realize the vision, combining technical expertise with leadership and strategy.

Key Responsibilities:

  • Team Leadership: Lead and mentor data engineers, fostering a collaborative and high-performing team environment.
  • Drive technical excellence by enforcing best practices in data engineering and development.
  • Hands-On Development: Build, maintain, and optimize data pipelines for ingestion, transformation, and activation.
  • Create and execute scalable solutions to handle diverse data sources and high volumes of information.
  • Data Modeling & Warehousing: Design efficient data models and schemas for a cloud-based data platform.
  • Develop and maintain pipelines to ensure data integrity and accessibility.
  • Collaboration: Partner with the Solution Architect to translate high-level designs into actionable implementation plans, and collaborate with the Technical Product Owner to align data solutions with business needs.
  • Platform Development: Integrate data from diverse platforms, ensuring scalability, security, and accuracy.
  • Enable data readiness for downstream analytics, reporting, and segmentation.
  • Testing & Quality Assurance: Implement robust security measures to protect sensitive consumer data at every stage of the pipeline.
  • Ensure compliance with data privacy regulations (e.g., GDPR, CCPA ..) and internal policies.
  • Monitor and address potential vulnerabilities, ensuring the platform adheres to security best practices.
  • Security & Compliance: Develop testing frameworks to validate data accuracy and performance.
  • Optimize processes for reliability and efficiency.

Requirements:

  • Over 7 years of experience showcasing technical expertise and critical thinking in data engineering.
  • Hands-on experience with DBT and strong Python programming skills.
  • Proficiency in Snowflake and expertise in data modeling are essential.
  • Demonstrated experience in building consumer data lakes and developing consumer analytics capabilities is required.
  • In-depth understanding of privacy and security engineering within Snowflake, including concepts like RBAC, dynamic/tag-based data masking, row-level security/access policies, and secure views.
  • Ability to design, implement, and promote advanced solution patterns and standards for solving complex challenges.
  • Familiarity with multiple cloud platforms (Azure or GCP preferred, with a focus on Azure).
  • Practical experience with Big Data batch and streaming tools.
  • Competence in SQL, NoSQL, relational database design (SAP HANA experience is a bonus), and efficient methods for data retrieval and preparation at scale.
  • Proven ability to collect and process raw data at scale, including scripting, web scraping, API integration, and SQL querying.
  • Strategic thinker with strong business acumen.
  • Capable of managing and organizing multiple projects simultaneously.
  • Experience working in global environments and collaborating with virtual teams.
  • A Bachelor’s or Master’s degree in Data Science, Computer Science, Economics, or a related discipline.

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
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