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Data Engineering Leader

2 months ago

London, Greater London, United Kingdom Tribal Tech - The Digital, Data & AI Specialists Full time
Job Title: Head of Data Engineering

Tribal Tech - The Digital, Data & AI Specialists is seeking a visionary Head of Data Engineering to lead our data engineering function and drive the company's data strategy.

Job Summary

We are looking for a seasoned data engineering leader to join our team and shape the future of data-driven decision-making within our organisation. As the Head of Data Engineering, you will be responsible for developing and executing the company's data engineering strategy, aligning it with business objectives and technological advancements in the financial SaaS space.

Key Responsibilities
  • Develop and execute the company's data engineering strategy, aligning it with business objectives and technological advancements in the financial SaaS space
  • Lead and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement
  • Design and oversee the implementation of robust, scalable data infrastructure and pipelines to support financial products and services
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions that drive business value
  • Establish data governance policies and best practices to ensure data quality, security, and compliance in the highly regulated financial sector
  • Drive the adoption of cutting-edge technologies and methodologies in data engineering
  • Manage relationships with key stakeholders, vendors, and partners in the fintech ecosystem
  • Oversee the budget and resource allocation for the data engineering function
Requirements
  • 10+ years of experience in data engineering, with at least 5 years in a leadership role within the financial services or SaaS industry
  • Proven track record of building and scaling data platforms in a fast-paced, high-growth fintech environment
  • Deep expertise in cloud-based data technologies (AWS, Azure, or GCP) and big data processing frameworks (e.g., Spark, Hadoop)
  • Strong knowledge of data warehousing concepts, ETL/ELT processes, and data modeling techniques specific to financial services
  • Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink) for financial data
  • Proficiency in programming languages such as Python, Scala, or Java
  • Excellent understanding of data governance, security, and compliance requirements in the financial sector (e.g., GDPR, PSD2, MiFID II)
  • Strong leadership and communication skills, with the ability to influence at all levels of the organization
Preferred Qualifications
  • Experience in developing data solutions for financial products such as investment management tools
  • Knowledge of machine learning and AI technologies and their applications in fintech
  • Relevant certifications (e.g., AWS Certified Data Analytics - Specialty, Google Cloud Certified - Professional Data Engineer)

This is an exceptional opportunity for a visionary Head of Data Engineering to make a significant impact in a dynamic, fast-paced financial SaaS environment. You will play a pivotal role in shaping the company's data future and driving innovation in the fintech sector.