Talantix.io
GoCardless•11.03.26
AI SCORE 8.5

Remote Engineering Manager - Data and Analytics

$140K–$180K/year
RemoteFinTech
Data Engineering•AI•Machine Learning•Cloud Platforms•Data Governance•Team Leadership

About the Role

We are seeking a Remote Engineering Manager - Data to join our innovative team at GoCardless. As a leader in the FinTech space, GoCardless is dedicated to transforming the way businesses handle payments. With over 100,000 clients worldwide, your role will be pivotal in shaping our Data and Analytics Platform teams to enhance our services and drive decision-making across the organization.

What You'll Do

  • Lead and manage the Data and Analytics Platform teams, ensuring high performance and effective collaboration.
  • Oversee the development and maintenance of foundational data infrastructure that supports GoCardless' operations.
  • Implement AI-powered solutions to optimize payment success rates and minimize fraud.
  • Foster a culture of continuous improvement and innovation within your teams.
  • Work closely with cross-functional teams to align data strategies with business objectives.
  • Mentor and develop team members, promoting professional growth and skill enhancement.
  • Utilize your expertise in data engineering to guide the technical direction of projects.
  • Ensure data governance and compliance with industry standards.

Requirements

  • Proven experience as an Engineering Manager or in a similar leadership role, particularly in data or analytics.
  • Strong understanding of data engineering principles and practices.
  • Experience with AI and machine learning applications in data processing.
  • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Ability to lead a diverse team and manage multiple projects simultaneously.
  • Experience with cloud platforms and data infrastructure technologies.
  • Passion for data-driven decision-making and a commitment to fostering a collaborative team environment.

Nice to Have

  • Experience in the FinTech industry or with payment processing systems.
  • Familiarity with regulatory requirements in data management.
  • Knowledge of open banking and its implications for data usage.

What We Offer

  • Competitive salary and benefits package, including health insurance and retirement plans.
  • Flexible working hours and the option to work remotely.
  • Opportunities for professional development and continuous learning.
  • A supportive and inclusive work environment that values diversity.
  • Access to cutting-edge technologies and tools.
  • Regular team-building activities and company events.
Why This Job8.5 of 10

This Remote Engineering Manager role at GoCardless offers a unique opportunity to lead data teams in a dynamic FinTech environment. With a competitive salary and a focus on innovation, it's an attractive position for experienced leaders.

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

Who Will Succeed Here

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Proficient in cloud platforms such as AWS or Google Cloud, with hands-on experience in deploying data pipelines and implementing machine learning algorithms to drive analytics.

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Possesses a self-motivated and proactive approach to remote work, with strong organizational skills to manage multiple projects and lead cross-functional teams effectively in a distributed environment.

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Demonstrates a strategic mindset with a proven track record in data governance and compliance, ensuring data quality and security while driving innovation in data-driven decision-making.

Learning Resources

→Data Engineering on Google Cloud Platformcourse
→AWS Data Engineering Tutorialguide
→The Complete Guide to Data Governancearticle

Career Path

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

Market Overview

Market Size 2024
$50B
Annual Growth
22.5%
AI Adoption in Data Engineering
75%
Investment in Data Analytics
+40%
Labour Demand for Data Engineers
+30%
Avg Salary for Engineering Managers
$150K

Skills & Requirements

Required
Data EngineeringAIMachine Learning
Growing in Demand
DataOpsCloud Data WarehousingMLOps
Declining
ETL Tools (e.g., Informatica)On-Premise Data Storage Solutions

Domain Trends

Rise of Real-Time Data Processing
With 65% of organizations prioritizing real-time analytics, the demand for tools like Apache Kafka is surging.
Increased Focus on Data Governance
Data governance frameworks are being adopted by 58% of companies to ensure compliance and data quality.
Integration of AI in Data Engineering
AI-driven data engineering solutions are projected to increase productivity by 40%, enhancing data pipeline efficiency.

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