Madison Logic, Inc. United Kingdom: Remote Full-time

About Madison Logic:
Our team is reshaping B2B marketing and having fun in the process! As a truly global company, we take pride in the diverse backgrounds of our team. When joining Madison Logic, you are committing to giving 100% and always striving for more. Work with & learn from an incredible group of people who care about your success as much as they care about their own. Our team is at the heart of what we do and our success starts with you!
Remote work note: Please refer to the job posting detail to determine what (if any) remote work options apply to the specific job advertised. Not all positions are available for remote work or in all regions/countries. Where applicable, remote work must be conducted from your home office located in a jurisdiction in which Madison Logic has the legal right to operate. It requires availability and responsiveness on a full-time basis from a distraction free environment with access to high-speed internet. Please inquire for more details.
About the Role:
We are currently seeking a Senior Data Engineer to play a crucial role in shaping the future of our data and analytics capabilities. As a Senior Data Engineer at Madison Logic, your responsibilities will include designing, constructing, and deploying scalable data pipelines. Additionally, you will be responsible for developing APIs that will empower our machine learning products and features. Your expertise will be invaluable in refining data models across various components of our data infrastructure to accommodate the growing demands of data processing and analytics at Madison Logic.
In this highly collaborative position, you will closely collaborate with product, engineering, and data teams to achieve our business objectives.

Responsibilities:

  • Develop and maintain the core data pipelines, involving the creation of production-level SQL and Python code to fuel our platforms.
  • Adapt and enhance data models and data schemas to align with both business and engineering requirements.
  • Utilize data aggregation and modeling techniques to generate reports within the Domo platform.
  • Conduct data analysis to contribute to the enhancement of overall business performance.
  • Identify and select optimal data sources for specific analytical tasks.
  • Establish procedures for data mining, data modeling, and data production.
  • Collaborate with internal and external partners to address challenges and ensure successful outcomes.

Basic Qualifications:

  • Educational Background: Possess a Bachelor’s degree in computer science, statistics, or mathematics. ·
  • Programming Expertise: 6+ years of experience with Python, with the ability to write production-level code. Familiarity with Node.js is considered a plus.
  • SQL Proficiency: 6+ years of experience in SQL, with excellent skills in navigating multiple data tables and comprehending data models.
  • Cloud Computing: Have over 4 years of hands-on experience with cloud computing services, particularly AWS (Amazon Web Services).
  • Data Architecture: Proven experience in designing data architectures, including Data Warehouses and Operational Data Stores (ODS).
  • Cloud-Based Analytics: Possess a strong understanding of cloud-based analytics platforms, such as Snowflake and AWS SageMaker.
  • Data Workflow Management: Ideally, possess at least 1 year of experience with data workflow management tools, with Airflow experience being a plus.
  • Data Cleaning: Be skilled in data cleaning and standardization processes.
  • SQL Engine: Exhibit an excellent understanding of SQL engines and the capability to perform advanced performance tuning.

Benefits & Perks:

  • Opportunities for Advancement – As We Grow, You Grow! 
  • 25 Vacation Days
  • Floating/Summer Friday Holiday program 
  • 2 Paid Volunteer Days 
  • Pension
  • Private Health Insurance 
  • Wellness initiatives 
  • Work-Flex Policy 
  • Flexible “You Do You” Monthly Cash Stipend 
  • Development Opportunities 
  • An innovative, energetic culture and a fantastic team!