Head of Data Engineering

5 months ago

Cape Town, South Africa Lula Full time

**WHAT WE DO**

We build innovative fintech products to help SMEs make cash flow. From instant access to funding to all-in-one business banking accounts and cutting-edge financial analysis tools, we're on it

Our purpose is to help SMEs manage their business better, faster, simpler, Lula, so they can spend more time doing what they love.

**OVERALL PURPOSE**

Responsibilities will include, but not be limited to:
**Data Engineering Leadership**:

- Build, lead and mentor a high performing Data Engineering team.
- Direct line management of Data Engineers, Architects, Governance and Compliance personnel.
- Drive quality throughout the systems development lifecycle, ensuring that data engineering principles and best practices are being adhered to resulting in scalable solutions that meet security, performance and programming standards.
- Contribute as a key member of the Technology Management team collaborating with all members to ensure that we deliver a world class experience to our customers.

**Strategic Planning and Delivery**:

- Articulation and delivery of a data strategy which considers the factors of people, process and technology aligned to our technology and business strategies.
- Development of an architectural roadmap that aligns to these strategies and shows a clear evolution of our platforms and technology.
- Research and implement new software technologies that benefit our customers and give us a competitive edge.
- Partner with business stakeholders to understand their data needs.
- Collaborate with Product and Engineering to deliver against all agreed roadmaps.
- Oversee the design, development, and maintenance of scalable data pipelines and infrastructure to support the organisation's data needs.
- Report on team activities, and ensure accurate planning and time estimation of data engineering work
- Manage budgets and capacity to support delivery.
- Manage key third party suppliers ensuring they are performing and delivering to SLO's and SLA's.

**Compliance and Regulatory Oversight**:

- Stay abreast of relevant data privacy laws, regulations, and industry standards, ensuring the organisation's data practices remain compliant.
- Develop and maintain policies and procedures for data handling, access controls, and data retention in accordance with regulatory requirements.
- Work closely with legal and compliance teams to address any data privacy or security issues and drive continuous improvement in compliance practices.

**Data Governance**:

- Establish and maintain a framework for data governance, including data quality standards, metadata management, and data classification.
- Define roles and responsibilities for data stewardship and ensure accountability for data management practices throughout the organisation.
- Implement tools and processes to monitor and enforce compliance with data governance policies and standards.

**THE SKILLS AND COMPETENCIES WE'RE AFTER**
- Excellent leadership ability, you inspire your team and our business to achieve company goals
- Exceptional technical skills, coupled with an engineering mindset
- Ability to think strategically and make decisions pragmatically
- Ability to manage multiple complex deliveries under pressure
- Ability to adapt to changing circumstances and priorities
- Excellent planning and organisation skills
- Excellent communication, facilitation, presentation and negotiation skills
- Strong stakeholder management skills with the ability to manage expectations, risks and issues in a proactive manner
- Strong collaboration skills and a passion for working with people
- Strong analytical and problem-solving skills
- Deadline driven - you know what success looks like and how to measure it
- Positive, high energy and committed to live, demonstrate and get excited about the Lula values

**THE EXPERIENCE WE'RE LOOKING FOR**
- Degree in a quantitative field (Mathematics, Computer Science, Engineering, Statistics or equivalent). Masters an added bonus
- 8 - 10 Years + data engineering experience, deep understanding of data management principles, data architecture and ELT processes with hands-on experience in building and managing data pipelines utilising continuous integration.
- 3-5 Years experience in a leadership role overseeing data engineering, compliance, and governance functions within a technology-driven organisation (advantageous)
- In depth experience of building and supporting high performing/scaling cloud based data platforms
- Proven track record of leading successful migrations of key components within the data stack, ensuring mínimal disruption and optimal performance.
- Experience in deploying operational embedded data products for business process efficiencies through data activation and ML Ops
- Demonstrated experience collaborating with embedded analysts through data mesh or lakehouse architecture, ensuring analyst empowerment while maintaining standards
- Strong knowledge of data privacy regulations such as POPIA, GDPR, etc.

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