Head of Data Engineering
5 days ago
Tribal Tech - The Digital, Data & AI Specialists is seeking an exceptional Head of Data Engineering to join our innovative team. This role offers a unique opportunity to shape the future of data-driven decision-making within a rapidly growing organisation.
Overview:
As the Head of Data Engineering, you will be responsible for leading and developing the data engineering function, driving the company's data strategy, and ensuring the delivery of high-quality, scalable data solutions. You'll play a crucial role in shaping the organisation's data architecture and fostering a data-driven culture.
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.
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