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OneSix

Enterprise data and AI consulting

Lead Data Engineer

Data Engineering +1Confirmed live in the last 24 hours
Full-time$140k - $160k /yrRemote

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Information Systems, Data Analytics, or a related field.
  • At least 6 years of experience in business intelligence, data engineering, or a similar role.
  • Expert-level proficiency in SQL, data modeling, and ETL development.
  • Extensive experience with business intelligence tools such as Power BI, Tableau, or Looker.
  • A deep understanding of cloud data platforms such as AWS and Azure and data warehousing solutions.
  • Strong programming skills in Python, R, or other scripting languages for data automation.
  • Proven ability to lead teams and manage large-scale business intelligence initiatives.
  • Experience with machine learning, AI-driven analytics, or predictive modeling.
  • Familiarity with data pipeline orchestration tools such as Airflow and dbt.
  • Knowledge of version control with Git and CI/CD for data workflows.
  • A background in Agile methodologies and project management.
  • Strong mentorship abilities and ability to influence technical strategy without direct managerial authority.
  • Effective communication skills to present complex machine learning concepts to diverse audiences.

Responsibilities

  • Define and drive the business intelligence strategy, ensuring alignment with business objectives.
  • Lead and mentor a team of business intelligence engineers, fostering innovation and continuous improvement.
  • Collaborate with executives and key stakeholders to understand business needs and translate them into business intelligence solutions.
  • Design, implement, and optimize scalable data models and architectures for reporting and analytics.
  • Oversee the development and maintenance of ETL pipelines, ensuring data integrity and performance.
  • Manage cloud-based data platforms, including AWS, Azure, and GCP, and data warehousing solutions such as Snowflake.
  • Lead the development of enterprise-level dashboards, reports, and self-service business intelligence tools.
  • Implement and optimize business intelligence solutions using Power BI, Tableau, Looker, or similar tools.
  • Integrate advanced analytics, predictive modeling, and AI-driven insights into business intelligence platforms.
  • Establish and enforce business intelligence best practices, including data governance, security, and documentation.
  • Monitor and improve query performance, data processing efficiency, and system scalability.
  • Ensure compliance with data privacy and security regulations.
  • Work cross-functionally with data engineers, analysts, and business teams to align data strategies.
  • Act as a key advisor on data-driven initiatives, influencing decision-making at the leadership level.
  • Facilitate training and enablement programs to enhance business intelligence adoption across the organization.

About the Company

OneSix

Enterprise data and AI consulting

OneSix provides data and AI consulting to help organizations turn data into practical business outcomes. It combines data engineering, data science, and AI/ML capabilities with a team of strategists who work alongside client teams to address challenging business problems. The company partners with Snowflake, AWS, Matillion, Fivetran, and other tech providers to build scalable data architectures and deploy AI solutions. Through the recent Strong Analytics acquisition, OneSix offers a broader mix of ML and AI expertise under one roof, making it easier for enterprises to access end-to-end data and AI services. The goal is to deliver measurable improvements in performance, efficiency, and growth for clients by applying concrete data-driven strategies and implementations.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Amsterdam, Netherlands
Founded
2013

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