Talantix.io
GoCardless•03.03.26
AI SCORE 8.5

Remote Engineering Manager - Data Analytics Platform

$140K–$180K/year
RemoteFinTech
Data Engineering•Analytics•AI•Machine Learning•Data Infrastructure•Team Leadership

About the Role

We are seeking a talented Remote Engineering Manager to lead our Data and Analytics Platform teams at GoCardless. In this role, you will be responsible for building and operating the foundational data infrastructure that powers decision-making across GoCardless. As a Remote Engineering Manager, you will develop a high-performing team of data engineers, ensuring that our data solutions are efficient, scalable, and aligned with our business objectives.

What You'll Do

  • Lead the Data and Analytics Platform teams, overseeing the development and implementation of data solutions.
  • Build and maintain a robust data infrastructure that supports data-driven decision-making across the organization.
  • Foster a culture of innovation and continuous improvement within your team.
  • Collaborate with cross-functional teams to understand data needs and deliver effective solutions.
  • Utilize AI-powered solutions to enhance payment success and minimize fraud.
  • Mentor and guide team members, promoting professional growth and skill development.
  • Ensure compliance with data governance and security standards.
  • Manage project timelines and deliverables, ensuring alignment with business goals.

Requirements

  • 5+ years of experience in engineering management, specifically in data and analytics.
  • Strong understanding of data infrastructure, data warehousing, and analytics tools.
  • Experience with AI and machine learning technologies is a plus.
  • Proven track record of leading high-performing teams and delivering successful projects.
  • Excellent communication and collaboration skills.
  • Ability to work in a fast-paced, remote environment.
  • Familiarity with payment processing systems and open banking is advantageous.

Nice to Have

  • Experience in the FinTech industry.
  • Knowledge of regulatory compliance in data management.
  • Familiarity with cloud platforms such as AWS or Azure.

What We Offer

  • Competitive salary and performance-based bonuses.
  • Flexible remote work environment.
  • Comprehensive health and wellness benefits.
  • Professional development opportunities and learning budgets.
  • Supportive and inclusive company culture.
  • Access to cutting-edge technologies and tools.
  • Opportunity to work with a diverse team across multiple countries.
Why This Job8.5 of 10

This Remote Engineering Manager position at GoCardless offers a unique opportunity to lead data teams in a dynamic FinTech environment. With a competitive salary and a commitment to professional growth, this role stands out.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficiency in building scalable data pipelines using technologies like Apache Spark and AWS Redshift, demonstrating a strong understanding of data engineering best practices.

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Strong leadership skills with experience managing remote teams, fostering collaboration and accountability within a distributed workforce, to navigate the challenges of remote work effectively.

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A strategic mindset with experience in implementing AI and machine learning models, focusing on data-driven decision-making to enhance business outcomes and drive innovation.

Learning Resources

→Data Engineering on Google Cloud Platformcourse
→Building Data Pipelines with Apache Airflowcourse
→AWS Big Data Blogarticle

Career Path

Remote Engineering Manager - Data Analytics Platform(Now)→Director of Data Engineering(2-4 years)→Chief Technology Officer (CTO)(5-7 years)

Market Overview

Market Size 2024
$20.5B
Annual Growth
12.3%
AI Adoption
78%
Investment
+150%
Labour Demand
+25%
Avg Salary
$145K

Skills & Requirements

Required
Data EngineeringAnalyticsAI
Growing in Demand
Cloud Data EngineeringData Visualization (Tableau, Power BI)Data Governance
Declining
HadoopSQL Server Integration Services (SSIS)

Domain Trends

Rise of Real-Time Data Processing
The demand for real-time analytics solutions is growing, with 65% of organizations prioritizing real-time data capabilities in their analytics strategies.
Increased Focus on Data Privacy Regulations
With the rise of regulations like GDPR, 70% of data engineering teams are now incorporating data governance and compliance measures into their workflows.
Integration of AI in Data Pipelines
A recent survey indicates that 60% of data engineering teams are adopting AI-driven tools to automate data preparation and enhance predictive analytics capabilities.

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